Senior Data Scientist

About Demandbase:
Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster.
As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area.
We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!
Here’s What Data Scientists do at Demandbase:
You will be a member of Demandbase’s Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects. We build and apply ML models at every stage of the B2B buyer’s journey. Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren’t yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site. Once ML-generated account lists are built, we launch campaigns to generate awareness and traffic to target sites.
Our Data Scientists build pacing, pricing, click-through rate, and engagement models using tens of billions of auctions daily to optimize campaign performance. We build reinforcement learning algorithms to optimize the user experience when potential prospects click on ads/banners and visit our customers’ websites.
Our Data Scientists build real-time intent using time series analysis to trigger an alert for sales after potential prospects share their contact information, to contact prospects when there’s an intent surge. ML models are a significant differentiator for each of our offerings in the ABM platform, Targeting, Conversion, and Intent products.  Our Data Scientists not only build ML models, but are also substantially involved in productizing the models, and working closely and cross-functionally with data engineering, application, product, and UX design teams to deliver the world’s best account-based marketing and advertising product.
Below are examples of some of the types of projects you can expect to work on:

Identification and account intelligence: map billions of IPs and cookies to companies
Rank accounts in B2B buying journey
Intent: develop a browsable taxonomy of intent signals

What you'll be doing:

Develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs.
Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments.
Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences.
Stay current with the latest technology/research and drive innovation.

What we're looking for:

3+ years of data science experience
Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field
Driven more than one greenfield project from concept to production release
Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL)
Demonstrated ability to write clean and performant code in Python
Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.

Nice to have skills:

Experience leading teams and projects
Experience with Google Cloud or AWS
Prior experience in Martech/Adtech space

Nice to have qualities:

You are highly self-motivated and able to operate with significant autonomy
You are able to break down complex problems and come up with simple innovative solutions
You are able to focus on the goals without getting lost in the details
Data is your thing, you love metrics and use metrics to drive projects
You are willing to build end-to-end and own the machine learning products you build or help build

Benefits:
Our benefits include options for up to 100% paid Medical, Dental, and Vision premiums for you and your entire family, $1,000 personal development stipend, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, Headspace, Ginger, and 13 paid holidays. Plus 401(k), short-term/long-term disability, life insurance, and all those good things.
We are a fully remote company with the option to work in an office (San Francisco, San Mateo, Seattle, and NYC) for those who are fully vaccinated and want to get out of the house.


Sr Manager Data Scientist Emerging Merchant Businesses

Overview
11 West 19th Street (22008), United States of America, New York, New YorkSr. Manager, Data Scientist - Emerging Merchant Businesses (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
Emerging Merchant Businesses is a new team dedicated to discovering and accelerating high-growth opportunities at Capital One.  Our newly formed organization is composed of incredibly exciting Capital One businesses, including Capital One Shopping, Flex Pay, and Apollo.  As part of the EMB team, you will  work alongside experts across customer experience, data, technology (and more!) who are moving quickly to find the next big business at the company.  We are looking for talented associates who are motivated to be part of this journey and help us shape the future of Capital One, growing and learning with a team who will invest in your development, foster an inclusive environment, and lead with heart to change banking for good.
As a Sr. Manager Data Scientist on the Apollo team in Emerging Merchant Businesses, you are a part of a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business.  You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
Role Description
In this role, you will:
Manage and lead a data science and engineering team and the quality of all technical deliverables: functional application, reporting, and documentation.Play a vital role in the conception, planning, and prioritizing of data projects.Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveFlex your interpersonal skills to translate the complexity of your work into tangible business goalsLeverage a broad stack of technologies — Python, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
The Ideal Candidate is:
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Capital One is open to hiring a Remote Employee for this opportunity.
Basic Qualifications:
Bachelor’s Degree plus 7 years of experience in data analytics, or Master’s Degree plus 5 years in data analytics, or PhD plus 2 years of experience in data analyticsAt least 3 years of experience in open source programming languages for large scale data analysisAt least 3 years of experience with machine learningAt least 3 years of experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience leading a teamAt least 1 year of experience with version control, CI/CD, and containerization/deployment technologiesAt least 5 years experience in Python, Scala, or R for large scale data analysisAt least 5 years experience with machine learningAt least 5 years experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Manager Data Scientist Emerging Merchant Businesses

Overview
11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Scientist - Emerging Merchant Businesses  (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
Emerging Merchant Businesses is a new team dedicated to discovering and accelerating high-growth opportunities at Capital One.  Our newly formed organization is composed of incredibly exciting Capital One businesses, including Capital One Shopping, Flex Pay, and Apollo.  As part of the EMB team, you will  work alongside experts across customer experience, data, technology (and more!) who are moving quickly to find the next big business at the company.  We are looking for talented associates who are motivated to be part of this journey and help us shape the future of Capital One, growing and learning with a team who will invest in your development, foster an inclusive environment, and lead with heart to change banking for good.
As a Manager Data Scientist on the Apollo team in Emerging Merchant Businesses, you are a part of a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business.  You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Capital One is open to hiring a Remote Employee for this opportunity.
Basic Qualifications:
Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years in data analytics, or PhD plus 1 year of experience in data analyticsAt least 2 years of experience in open source programming languages for large scale data analysisAt least 2 years of experience with machine learningAt least 2 years of experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience with version control, CI/CD, and containerization/deployment technologiesAt least 4 years experience in Python, Scala, or R for large scale data analysisAt least 4 years experience with machine learningAt least 4 years experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Data Scientist

Who We Are
At OtterTune, we make database optimization simple. Our main offering is a cloud service that uses machine learning (ML) to automate the difficult process of database performance tuning. Based on cutting-edge database and ML research at Carnegie Mellon University, OtterTune analyzes a customer's database activity and learns the best configuration for it, thereby boosting database performance and lowering costs. OtterTune's recommendations frequently outperform those of experienced database administrators.

About the Role
We are hiring a Data Scientist to power up our product and business decision-making abilities. This position will involve setting up data models and extracting new knowledge from the database telemetry data (e.g., AWS Performance Insights metrics) that OtterTune collects. An example of a question that our Data Scientist could answer with this data is what is the most common performance problem in a category of databases. Another could be how a customer's database changes when they upgrade versions. Such information will guide critical strategic decisions as we scale up our product. You will work closely with leadership, the product team, and the engineering team to carry out your work. You will also work with the marketing team to publicly discuss and present findings from your analysis outside of the company to promote OtterTune's ability to help database users.

This role is a unique opportunity to join OtterTune in the early stages of its development where you can make a significant impact on the growth and adoption of our state-of-the-art product.

You Will

Design, build, and deploy analytics pipelines to empower business and product analysis and help us better understand our users.
Build dashboards and visualizations for both internal and external consumption (e.g., blog posts, social media, presentations).
Watch data trends and work with leadership to drive prioritization decisions.
Work with the marketing team to develop novel insights about how customers use databases across different application domains.

You Might be a Fit for the Role if You Have

3+ years working as a Data Scientist (or related role).
A degree in a quantitative field (such as Statistics, Mathematics, Computer Science, Engineering, or related field).
Experience building data visualizations and dashboards powered by statistical analysis used to inform business decisions.
Experience with implementing anomaly detection pipelines.
Experience with scripting languages such as Python, R, or a similar language.
Advanced experience with SQL and using data warehouse or database technologies (e.g., dbt, Legend).
Some experience using and administering MySQL or PostgreSQL databases (only a bonus).

We Would Still Like to Hear From You
Humans never stop learning. Everyone learns on the job, no matter what job it is. OtterTune employees are encouraged to take time to level up their skills. Even if you do not check all of the boxes, please reach out to us about this position if you are interested.

Building an Inclusive Workplace
OtterTune is an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. OtterTune embraces diversity and provides equal employment opportunities to all employees and applicants for employment. OtterTune prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Senior Data Scientist Machine Learning Platform

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

We’re a remote-first team and output is more important than facetime, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.

Data Science & Engineering

The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:

Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions

The Role - Machine Learning Platform Team

We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products.

As a Software Engineer on the Machine Learning Platform team, you will play a pivotal role in our mission to build a self-serve ML Platform to enable data scientists to do their best work. As such, you will work closely with the area owners, data scientists and other software engineers to improve our ML-ops tooling and support the launch of new data products.

In this role, you will have the opportunity to:

- Partner with stakeholders across different product domains, infrastructure to tackle technical problems at scale, which includes building framework agnostic services to support all of Wealthsimple’s machine learning needs
- Establish roadmap and architecture for Wealthsimple’s Machine Learning platform
- Contribute to the suite of tools and services that power our platform: Airflow, tensorflow-serving, FastAPI, MLflow, etc.
- Work with a large amount of autonomy to set the technical direction for scalable projects

We are looking for people who have:

- Excellent Python skills
- Experience with design and implementation of high performance systems with reliable monitoring and logging
- Experience owning an application end-to-end and are able to understand and address infrastructure concerns
- Bonus points for hands-on experience in machine learning and data modeling


Staff Data Scientist

The Role:

The Included Health Data Science Team is at the heart of the company’s mission to remove the frustration that exists today in navigating the healthcare system and improving the health and lives of everyone.  We are developing systems and models to identify the highest quality doctors in the country as well as methodologies to uncover the subtle differences between each physician’s clinical expertise.  Additionally, patient-level modeling allows us to understand the specific healthcare needs of every person.  With a high fidelity understanding of both patients and physicians we are able to route patients to the most appropriate and highest quality care in line with their specific needs.

In addition to developing the company’s core technologies, data scientists provide decision support analysis for many teams across the organization including product development, sales, marketing, and strategy.  Data scale ranges from small data sets that fit on a single laptop to large multi-terabyte clinical information in distributed database systems. We regularly deal with class imbalance, noisy data, huge feature sets, and balancing advanced solutions with interpretable results. We write production code that is tested and maintainable, and look for machine learning implementations that balance cutting edge solutions with maintainability and simplicity.

Example Projects:

Driving Clinical Outcomes and Savings. You will play a key role in optimizing the quality of care delivered to Included Health members and customers and minimizing the total cost of that care. You will develop new machine learning models to understand how care is delivered to patients, and help patients discover the providers and services that will deliver the best care for them. Data Science can be an important partner in helping the Care Team provide the best experience to members. Measurement across interactions can help to identify opportunities for efficiency improvements, inform product opportunities, and help drive high quality care. This role provides the opportunity to join an early stage research effort and be instrumental in setting the direction of future initiatives.

Modeling of Member Journey. As Included Health has expanded its product offerings, the Data Science team has access to a wealth of data about how people use these products. Modeling work in this area ranges from identifying members that are most in need of specific services to predicting the expected value of interactions with a member. Using these models and systems we can customize services to a member’s unique needs and optimize their path through the healthcare system in order to provide them better care. In this role you will develop creative solutions to drive personalization throughout the member experience and work cross-functionally with product, engineering, marketing and clinical teams.

Responsibilities:

Develop creative solutions to diverse problems including engineering challenges, unstructured data messes, ontology development, and machine learning applications
Lead and develop major projects from end-to-end encompassing planning, design, technical implementation, roll-out to Product & Engineering, measurement, and iteration
Operate at a high level of sophistication in statistics and machine learning
Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering
Evaluate and experiment with new technologies and facilitate adoption by the team
Work closely with analysts, data scientists, product managers, and engineers
Drive business impact across the organization by identifying underserved opportunities and implementing robust technical solutions

Qualifications:

Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Experience as a Technical Lead on cross-functional initiatives and the ability to demonstrate success in driving impact with cross-functional partners and stakeholders

Required: Python, SQL, linux shell scripting, end-to-end model development development and deployment
Experience with SQL relational databases as well as big data: the Hadoop ecosystem, Hive, Spark, Presto, etc
Prior experience with Amazon Web Services or Google Cloud Platform
Degree(s) should be in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Math, quantitative social science. MS or PhD with leadership experience preferred.
Cherry on Top: previous work on medical applications and/or with claims data

#LI-Remote
#LI-MJ1

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

-----
Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Senior Data Scientist

The Role
Data Scientists at Included Health focus on contributing robust code to our machine learning platform in order to support our modeling of clinical outcomes, cost of care, and engagement. You’ll contribute to a production Python codebase and develop models in challenging datasets. We regularly deal with class imbalance, noisy data, huge feature sets, and balancing advanced solutions with interpretable results. We write production code that is tested and maintainable, and look for machine learning implementations that balance cutting edge solutions with maintainability and simplicity. This role will use insurance claims, free text, product data, and other data sources to help identify members’ needs, match members to top providers, and determine which providers have the experience in particular domains.

You will have the opportunity to work on projects like...

Predict a provider’s sub-specialization. A member’s care can be greatly enhanced if a clinician is particularly skilled in the treatment of specific conditions. For example, some neurologists might specialize in treating migraines, while others are generalists. While we can easily tell that a provider is a neurologist, we need to apply statistical techniques to insurance claims to infer their more nuanced expertise. Work like this helps us recommend the ideal physicians to meet our members’ needs, whether those be general or highly specialized.

Recommending High Value Care. With an expanding list of products and services, we want to be able to guide our members to the best care for their needs. We’re building a platform that can understand a patient’s needs and make recommendations that satisfy those needs. This work involves analyses to understand the problem and scope approaches, modeling, prototyping, and developing an API that production services can make use of. Finally, we’ll need to partner closely with application teams to roll out this tooling

Areas of ownership...

Lead and develop projects from end-to-end encompassing planning, design, technical implementation, debugging, roll-out to Product & Engineering, testing, and iteration
Help maintain our clinical measurement and modeling tools, including our PySpark ML platform
Train and improve clinical, cost, and recommendation models
Evaluate and experiment with new technologies and tools prior to wider adoption by the team
Operate at a level of sophistication in statistics, machine learning, or computer science that is publication-worthy
Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering
Work closely with analysts, data scientists, product managers, clinicians, and engineers
Solve problems and build solutions that have a direct impact on improved clinical outcomes and longer, healthier lives for millions of people

What we look for...

Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Business intuition and product sense that help you identify the most impactful projects to work on to address current and future business needs (think, Data Science embedded in Product)
More than a few years of production coding and modeling experience, and a track record of leading teams or projects with a few other individuals involved
Work experience on a team, coordinating deliverables across complex efforts
Experience with SQL relational databases, as well as big data

Required: Python, SQL, linux shell scripting
Prior experience with Amazon Web Services
Nice-to-Have: background in Behavioral Health or HealthTech; PySpark experience

Why join us?

Hop on a rocketship: Included Health has recently become the second-biggest digital health company in the US.  With a $3B+ valuation, a recent merger and acquisition completed, we are primed for continued success in a big way.

Accelerate your career: Forbes’ recently named us a Best Startup Employer, we’ve been voted a Glassdoor Best Places to work, and a 4x Career-Launching Company by Wealthfront.

Roll up your sleeves and partner with experts with all kinds of experience: We hire for intellectual curiosity, humility, and hunger for impact. In this role you’ll get exposure across the company in many strategic projects where you’ll work closely with partners across data science, product and engineering who share a singular goal: make healthcare better for everyone.

Make healthcare work for millions of people: We’re taking on healthcare head-on. End each day knowing that your work is transforming a $3.6 trillion industry and millions of people’s lives for the better.

#LI-Remote

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

-----
Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Sr Data Scientist Marketing Acquisition

About The Role
At Rippling, one of our core competitive advantages is the sheer number of products that we are able to offer our clients — over 20 SKUs and counting. This means that driving expansion revenue from cross-sell and upsell is critical to the company’s growth. We are investing heavily in this motion. That’s where you come in!
We’re looking for a seasoned analyst to help us answer questions such as: what types of customers are likely to purchase which products? What channels should we use to target what customers using what messaging and when?? This role will also partner closely with cross-functional teams to identify what metrics to measure for campaign success and deep dive into the data to provide insights for future campaigns/optimization.
As an early Data hire at Rippling, you’ll have the opportunity to dive into datasets to influence decision-making & impact strategy. If you are a self-starter who enjoys finding patterns and speaking through data, we’re looking for someone like you!

What You’ll Do:

Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools and present insights & learnings in verbal and written forms through BI tools, such as Tableau.
Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress.
Proactively provide insights to help business and business leaders understand marketplace dynamics, user behaviors, and long-term trends.
Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
Identify and measure levers to help move essential metrics and make recommendations.
Collaborate with marketing teams (e.g. growth marketers, PMMs, and PMs) and product analytics teams to identify campaign success metrics, analyze campaign performance and user experience, and provide insights for campaigns/optimization.
Work autonomously as an individual contributor as well as showcase horizontal leadership, driving initiatives to completion and proactively identifying opportunities that will move the needle in the long run.

Qualifications:

5+ years of marketing analytics work experience with a Bachelor's Degree in Analytics, Data Science, Economics, Statistics or a related field.
Or 3+ years of marketing analytics work experience with a Master's Degree in Analytics, Data Science, Economics, Statistics or a related field.
Strong proficiency in SQL, R/Python, Tableau, or other Business Intelligence tools.
Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers.
Ability to actively manage and influence stakeholders through strong business communication skills, both verbal and written forms.
Ruthless prioritization and time management.
Organized, attentive to detail, and intellectually curious.
Experience in marketing campaign analysis focusing on cross-sell and up-sell through email & in-product channels preferred.
Experience with B2B SaaS companies preferred.


Sr Data Scientist Marketing Analytics Cross Sell


Senior Manager Data Analytics

Job Category
As a key member of the Strategic Marketing & Analytics team, you will be responsible for data-driven insights that enable QuinStreets Marketing and Media teams to maximize profitability while developing customer relationships. You will gather, organize, and aggregate complex sets of data in order to produce meaningful business insight in areas such as ad network optimization, ad merchandising, marketing performance, quality monitoring, partner development, product testing, and more. You will also communicate your insights and findings to various members of our Client, Media, Analytics, and Executive teams.

Responsibilities

Work closely with media and client managers to understand business opportunities for media, client and market growth.
Actively mine data to develop actionable insights from our proprietary datasets using various statistical techniques.
Evaluate strategies and forecast their expected impact to the key performance indicators.
Support analysis and monitoring of business metrics and trends.
Key liaison between business and technical teams in managing day to day data analytics.

Qualifications:

Record of high academic achievement with a BS degree in Business, Economics, Engineering, Math/Science, or otherwise proven background in business/analytics. MS preferred.
5+ years of work experience in data analytics/science.
Strong understanding of statistical methods used in to elicit insights from data.
Strong analytical mindset with a drive toward actionable insights from data.
Deep interest in online marketing and media industry. Industry experience a plus.
High internal motivation with ability to understand the full stack of product development.
Willingness to initiate and own research, exploration, and analysis from start to finish for any business problem.
Good interpersonal skills and ability to remain focused-yet-flexible in a fast-paced internet company environment.
Proficiency in MS Excel, Tableau and SQL.
Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc analysis.

#LI-REMOTE


Data Scientist

Are you passionate about solving real-world challenges using cutting-edge artificial intelligence (AI) and machine learning (ML) technology? You will be part of an ambitious team of scientists and software engineers with the goal of creating better products for our customers. You and your team will work to develop proof of concepts and transition promising new technology into products. As a Data Scientist, you will have the opportunity to explore exciting and diverse data, work with cutting-edge algorithms and technologies and participate in the development of solutions that generate new insights and products for the gaming industry.

If you are a self-driven, highly motivated and driven by success then this is the role for you.

Responsibilities:
Manage and execute analysis pipelines using cloud computing platforms such as AWS
Independent creation of forecast models and support for the implementation of these models in the existing processes
Use of state-of-the-art methods for data analysis and modelling (especially from the areas of machine learning, statistics, data mining and time series)
Independent management of data projects and coordination with the requirements of various stakeholders
Communication of the results obtained to the management
Collaborate with talented data scientists, data engineers, software developers, and other stakeholders in an agile environment.


Senior Data Scientist Growth Analytics

"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.
The Growth team plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through data initiatives like understanding our user segments, how to personalize Reddit’s communication to our users, and present the most relevant content to users.
As the team’s Data Scientist, you will play an influential role in guiding product strategy through proactively surfacing insights, conducting exploratory analyses and executing advanced experimentation.
How You’ll Have Impact:

Today, Growth touches a large swatch of features at Reddit. As a key member of the team that owns notifications (email and mobile), you’ll help us refine our Growth strategy through playing with one of the richest datasets at Reddit and uncovering user insights. Your work will help us understand how we reach out to our diverse users and communities, different user types and top Reddit use cases that will propel the next wave of Growth.

What You’ll Learn:

You will be deeply integrated with our tight-knit team, which moves quickly and runs experiments on a variety of initiatives at Reddit. You’ll play a key role in determining the notification strategy and other improvements for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation and user funnels that will impact the entire company.
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Growth levers)
Conduct exploratory analyses to size new opportunities for how Reddit communicates w/ users or deepen their engagement with Reddit communities
Partner with Engineering and Product to define and execute Growth’s roadmap and initiatives
Design and evaluate A/B tests and product feature experiments to influence product strategy
Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards
Present findings to senior leadership and inform product decisions

Who You Might Be:

6+ years of experience in data analytics or related quantitative role
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Familiarity with causal inference techniques and causal models
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)


Quantitative Markets Analyst

We’re looking for a smart, driven individual to join our Quantitative Markets team. The Quantitative Markets team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate has the strong technical skills required to develop and implement quantitative and/or machine learning models.

What you'll do

Ensure the resiliency of new and existing funding agreements by enhancing and expanding the team's suite of structuring, monitoring, and analysis capabilities
Develop automation tools and optimize models to create operating leverage for the team and the business
Provide insights on capital markets deals to cross-functional teams to enable more optimal and efficient funding strategy and merchant pricing
Work closely with the Capital Markets team to evaluate, structure and price consumer asset-backed transactions
Build data-driven models to analyze and predict the performance of Affirm’s consumer loans
Partner cross-functionally with our Treasury, Capital Markets, Risk, Commercial, Product and Engineering teams to evaluate funding, product, and business decisions

What we look for

1-3 years of relevant experience in technical areas (e.g. data science, data analytics, quantitative finance).
Intellectual curiosity, a growth mindset, and an emphasis on relentless self improvement
Strong data-manipulation and model development and implementation skills using tools such as Python/R
Experience building quantitative models or implementing machine learning models is a plus
Strong interpersonal and communication skills, and ability to collaborate and influence across different teams in the organization
Desire to understand the broader context of business decisions
Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment

Location - Remote U.S.
Grade - USA28

#LI-Remote


Senior Data Scientist Insights And Data Enablement

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian is looking for a Senior Data Scientist in our newly formed Insights and Data Enablement team part of our Open Toolchain organisation. We're looking for someone with business instincts, creativity, analytics mastery, and great understanding of software engineering teams; someone who is passionate about applying these skills to help build data and insights features for our product to influence how our customers work.
You'll be part of the Insights and Data Enablement team where our mission is to unleash a new wave of team growth through actionable data and insights for our customers at every level of the organisation. We care deeply about how our customers work and seek to build data and insights features to discover, improve and amplify our customers work and team health. As an emerging space, you will have leverage to change our business and influence the whole industry.
In this role you will get to:
Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our customers to influence the way they workWork with Product and Engineering Leaders in the Insights and Data Enablement team to identify opportunities they should add to their roadmapBuild on our initial efforts to understand what drives successful team outcomes for our customers, utilise the data we have from our products to prototype product features to help our customers become more successfulPromote a measurement culture and understand the impact of our strategy; including designing and analysing experiments and feature launchesEnvision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and other data scientistsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decision
On your first day, we expect you to have:
Experience working with software and data engineering teams, an understanding of the software development lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).Experience working on prototyping and building data and insights product featuresExperience applying your analytics skills to identify and lead projects that have had proven impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementA very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers), and creating compelling storiesProject management and prioritisation experience; preferably with Data Engineering, Product Management, and Software Engineering teamsExperience using statistics as part of your roleA degree in a quantitative discipline (e.g. statistics, mathematics, physics, engineering, computer science, econometrics)
It's a bonus, but not required, if you have
Previously worked in global teams and high-growth businessesAppreciation and understanding of industry metrics that track and measure developer productivity (e.g. Dora, Space metrics)Advanced degree (Masters, PhD) in Computer Science, Mathematics, Statistics or other STEM fieldAn understanding of SaaS development, business model and metricsExperience building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community


Principal Decision Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is looking for a Principal Decision Scientist with technical skills to join the Decision
Science team and own our total customer potential model(s) and strategy.
What you'll do
Work with both technical and non-technical partners across Marketing and Product to clarify Atlassian's future potential and identify levers to access that potential.Expand the existing model to use dynamic features and flexible outputs to solve the use cases of more partners.Find ways to measure the incrementality of levering the model through experimentation and funnel analysisEmpower partners by giving them the ability to self-serve using Tableau dashboardsApply creative analytical skills to several types of business questions to deepen our understanding around the potential and propensity of each Atlassian customer
Your background
8 + years of experience in analytics or related fields4 + years of experience in potential/projection modeling2 + years of experience in attribution, incrementality or experimentationA track record for creating raw data and analysis into well-written contentComfort with structuring and coaching others to work through open-ended business questions through analyticsAdvanced proficiency in SQLA willingness to learn and adapt to new technologies and methods as needed


Senior Manager Data Management

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
We're looking for a Data leader with business instincts, management experience, analytics mastery, and experienced in improving data science efficiency. Someone who is passionate about applying these skills to lead data quality, reduce the need for data scientists to perform data engineering tasks, working across the organization to create the proper data layer to increase data science productivity.
What you'll do
Develop relationships with leaders across data science, data engineering, data platform, and other teams to understand and influence requirements that support the strategic goals of Atlassian.Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.Develop business cases and roadmaps for transformational data projects that unlock the potential of the team.Partner with the data engineering and platform teams to Identify, and support short, medium and long-term portfolio of projects that satisfies the data layer and quality roadmapsWork across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)Lead, coach, and build the data quality team within the Data Science teamCollaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.Contribute into overall Data Science team OKRsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisionsAbility to explain data science concepts to diverse audiences, and build decision confidence by sharing expertise of facts and uncertainties
Your background
3+ years of data science, analytics and/or data engineering leadership experienceExperience applying analytics knowledge to work across data science, engineering, and platform teams to deliver foundational data layers.An Agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speedFamiliarity working with Data Engineering, Product Management, Engineering, and Data Platform teams.Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)An understanding of the SaaS development, business model and metricsExperience in A/B experimentationA degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)


Senior Manager Web Analytics And Data Science

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Our Customer Analytics team is comprised of individuals with backgrounds in data science and analytics. We collect, organize and analyze data to help our business partners make informed decisions.
We're looking for an Analytics & Data Science leader (Manager or Senior Manager) with business instincts, team development, creativity and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, guide smarter product decisions, and delight our customers. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
What you'll do
Collaborate with Atlassian's product leaders (responsible for www.atlassian.com, support.atlassian.com & community.atlassian.com) to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmapLead a team of data scientists and plan roadmaps by collaborating with product partners, customer research, data engineers, machine learning engineers and other data scientistsDesign targeted explorations of our big data, to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueAccelerate web experimentation through best practices, tooling and clear recommendationsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
3+ years leading analytics or data science teamsExperience applying your analytics to projects which have had a positive impact to company level business and product decisionsA very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speedCraft compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertaintiesFamiliarity partnering with multiple departments. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsExperience encouraging teamwork in a "work from anywhere" environmentPrevious experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Varied experience applying a range of data science techniques (eg: exploratory data analysis, experiment design, propensity modeling or attribution)An Agile development mentality, appreciating the benefit of constant iteration and improvement


Senior Data Scientist Data Scientist

Pixelberry Studios is a top mobile games developer, creating fun and engaging games with heart for over nine years. We’re a division of Nexon, one of the Top 10 largest gaming companies in the world. Our studio is 3-for-3 launching games into the App Store's Top 25 Grossing chart. Our market-leading, award-winning mobile game, Choices: Stories You Play,  broke into the Top 5 in the App Store. Our vision for success is based around innovative game design, diversity, and putting our players first!

We've seen firsthand the positive impact that games can make. Because of that, we leverage our commercial success to make a real difference: we have partnered with numerous non-profits, saved actual lives with our games, and donated hundreds of thousands of dollars to charities. Players love our games’ focus on racial, gender, sexual, and identity diversity while holding us accountable when they expect more.

Some of us at Pixelberry have worked together for over 10 years through multiple companies. As a result, we strive to create long-term relationships that help sustain our success. We continue to add new individuals who aren’t just searching for another stepping stone but a place to put down roots and actively make a difference. We love what we do and are looking for passionate, like-minded people who want to grow, learn, and make a difference together.

SUMMARY OF POSITION
Pixelberry Studios is looking for a Senior Data Scientist / Data Scientist.
Our headquarters are in Mountain View, CA but we can accommodate a remote work environment for a candidate from the following states: California, Colorado, Florida, Indiana, Maryland, Massachusetts, Michigan, Nevada, New York, Oregon, Pennsylvania, South Dakota, Texas, and Washington.
Currently, all Pixelberry staff work remotely with the option to work in-office, if desired.
RESPONSIBILITIES
Interpret both internal and external data to influence strategic, tactical, and operational decision-making
Brainstorm, build and productionize statistical/ML models to drive business decisions
Design scientific experiments to evaluate the impact of different product/data features
Collaborate with business leaders to optimize player experience
Utilize data science techniques/ statistical knowledge to conduct ad-hoc analyses to predict and optimize business outcomes
REQUIREMENTS
3-4+ years of experience in consulting, strategy, business development, operations, technology, investment banking, analytics or related experience; mobile-first direct to consumer tech company (ideally mobile games) is a plus
Advanced expertise in SQL, R, and/or Python
Practical knowledge of Stats and/or Machine Learning
Familiarity with experiment design and evaluation concepts and practices
BA or BS degree (ideally in a quantitative or social scientific field)
POSITIVES
Advanced degrees (MA / MS / MBA / PhD)
Familiarity with cloud deployment
Have experience driving data/ML projects from end-to-end
Experience in casual and/or female-focused mobile games
BENEFITS & PERKS
Competitive salary
High level of autonomy and freedom
Rich & flexible health, disability, and employee assistance offerings to meet the needs of a diverse workforce
401(K) with matching program
Paid Year-End Break
For local employees that elect to work in-studio, a relaxed office environment with free food and snacks
Virtual escape rooms, video game nights, trivia parties, and other team-building activities throughout the year!
HOW THIS JOB IS DIFFERENT
Learn about the business side of mobile games. Our team is very good at what we do.
Good work/life balance. We are family-friendly and look at things in the long term.
That warm fuzzy feeling that you’re not just making a difference at a company, but in the lives of people all over the world.

Pixelberry Studios values a diverse workplace and strongly encourages women, Black/BIPOC, LGBT individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Pixelberry is also an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.


Staff Data Scientist Customer Experience

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are looking for an experienced data scientist to support the Customer Experience team at Slack. At Slack, our mission is to make people’s working lives simpler, more pleasant, and more productive. The Customer Experience team lives this every day, providing a delightful experience to our customers. In this role, you will work closely with the Customer Experience organization to understand and improve the experience people have with Slack across every stage of the customer journey. You will have the opportunity to influence key business and product decisions through your analysis and insights. Your credibility will be strengthened through deep technical skills, strong business sense, and a clear dedication to improving our customers’ experiences. You will bring a solid understanding of SaaS businesses, forecasting models, and ways to process natural language. You can also tell compelling stories with data.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand usage patterns of Slack Support
Perform evidence-based evaluations of the most important drivers of satisfaction with Slack and Slack Support
Build out key success metrics and reporting for the Customer Experience organization
Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for Customer Experience metrics
Identify and clearly communicate potential opportunities to improve the experience of people using Slack
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product and support strategy
What you should have
A passion for customer support and the role it plays in making a customer-centric team successful
Expertise in scoping work requested by diverse sets of stakeholders
Data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools.
Expertise in at least one programming language for data analysis (e.g. Python, R, Scala)
Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow is a plus.
Comfortable and skilled at written and verbal communication to varied audiences
Experience collaborating with and influencing cross functional partners
Experience in building advanced data pipelines and designing data scheme and table infrastructure
Experience in cleaning sets of data so accurate decisions and forecasts can be made
Plus: An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics)
Plus: Experience with statistical and machine learning methods to build descriptive and predictive models
*LI-YAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.


Senior Machine Learning Researcher For Copilot

GitHub is looking for a research engineer in the area of machine learning to join GitHub Next.
We are a growing team of engineers and researchers. Having made our mark with high-impact success stories like GitHub Copilot, we want to keep leveraging the power of Machine Learning to revolutionize GitHub and hence the world-wide community of developers and creators who rely on it for their daily work. We continue to build on these foundations while at the same time exploring new projects in different areas including AI-enhanced static analysis, supply-chain security, innovative approaches to CI, and many more.
You will be working with other members of our team as well as colleagues from elsewhere in  GitHub and Microsoft on providing machine learning solutions to these challenges. Some of the projects at the Innovation Lab are a sustained effort to put an idea that has proven its worth into production and at the fingertips of the world’s developer community, whereas others are an experimental evaluation of a new idea where we iterate quickly to separate ideas that show promise from those that need some more time to mature. While we are not primarily a research outfit, our work does regularly yield novel results and insights along the way, which we publish at academic conferences where applicable.
Responsibilities:

Participate in our ongoing projects in the area of code intelligence.
Conceive, design, train and deploy machine learning models.
Extend and fine-tune deep learning architectures.
Help out in the day-to-day running of the Innovation Lab: organizing our webinar series, interviewing new candidates, and disseminating research results.

Minimum Qualifications:

Firm theoretical background in machine learning.
3 years+ hands-on machine learning experience.
Previous experience with deep learning, sequence models and NLP.
Inclination to prototype quickly and make fast decisions on experiment failure.

A creative mindset and good practical skills are more important to us than formal experience.
Preferred Qualifications:

PhD in computer science, mathematics, or a related field, or other evidence of the ability to do independent, innovative research.
Previous experience at working with large, distributed machine learning pipelines, e.g. using Microsoft Azure or k8s.
Experience training large language models for code generation.
Ability to communicate complex ideas clearly, both in spoken and written form, for expert as well as novice audiences.

(Colorado only*) Minimum salary of $118,100 to maximum $286,000 + bonus + equity + benefits.· Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado.

Location: In this role, you can work remotely from anywhere in the United States or onsite in one of GitHub’s U.S. offices (San Francisco, Bellevue, Raleigh)
#LI-Remote


Principal Data Scientist

Company Description
Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service.
Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g.
Job Description
Afterpay's Principal Analyst is responsible for helping to lead a team to identify, model, understand and predict sales/customer/industry trends, provide insights supporting Afterpay NA Sales and Global leadership teams.
You will also analyze business performance in the competition, deliver data driven business insights for decision making, and provide insights on product features, customer behavior, and communicate findings with internal stakeholders and external clients.
You can think strategically and deep dive into data sets to deliver high level, or detailed well-structured models and analysis. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams.
You will:
Work closely with Sales leaders to develop business strategies using internal and external data. Provide analytics support to discover, diagnose and predict business outcomes, articulate recommendations to business stakeholders.Develop an OKR tracking framework. Break down the business goals into actionable targets for different domains and operational teams. Work with the Sales and Global BI to deliver regular trading updates.Lead the team to build self-service tools for the Sales team to deliver regular business reviews with enterprise merchants. Understand business problems, conduct quantitative analysis and help Sales and Client Success team to translate data insights into narratives in the commercial context. Be personally involved in the commercial discussions with our critical client partners.Act as a subject expert in designing and recommending appropriate analytical approaches and methodology. Lead the new technology researches, tool and data source validation, and process automation to improve operational efficiency and quality.Explore ways to improve competitive analysis. Lead the data validation and vendor vetting. Develop third-party data strategy.  Help actively recruit for the team. Contribute to training sessions, hold technical educational talks that reach beyond your immediate team.
Qualifications
Have excellent business acumen skills. Good at strategic thinking and critical thinking. Have a proven history of supporting executives and Growth from an analytics domain.Stay current on data science trends and best practices. Influence and recommend changes to critical modelling/analytical methodologies, including but not limited to tagging, experimentation, forecasting. You use excellent professional judgement to make the correct decisions or recommendations based on data under ambiguity.Have the ability to coach, mentor, and develop technical and management talents. Have advanced analytic and programing (R/Python/SQL) skills and can write, troubleshoot, simplify and optimize complex queries and analytical tasks. Can automate complicated & repetitive tasks and can provide practical training to team members to drive efficiency.A fast learner. You can quickly develop deep knowledge about internal systems and processes across multiple domains and effectively influence the product/tech solutions that provide a solid data foundation for the team to build on.Typically has a master degree from quantitative fields with 8+ year relevant experience, or Ph.D degree from quantitative fields with 5+ year experience.Experience in e-commerce/FinTech/Sales Analytics is preferred.Take an active interest in the success of those around you. You're seen as a thought leader and subject matter expert to more junior people on the team. People management experience is a plus.
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Point Of Sale Customers Invoices

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the Point of Sale & Customers team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. While reporting to the head of data, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Manager Commerce Platform

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then, Square has been building an entire business toolkit of both hardware and software products, and an ecosystem of solutions that serve our sellers as they grow and scale their businesses. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
We are looking for a Data Science Manager to join our team and help us build a differentiated platform which allows developers to extend our ecosystem of solutions to serve our sellers. You will report to the General Manager of Commerce Platform and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process which optimizes for both leadership and technical skills.
You will:
Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partnersProvide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growthPartner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Qualifications
You have:
2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Nice to have:
M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retention
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Sales Analytics

Company Description
Join a movement in which everyone can win. We started a movement in which everyone can win – shoppers, retailers, society and every person on our team. To play fair, trust people and reward them for doing the right thing. We see and feel the impact of our work as more and more people gain financial freedom and retailers grow across the globe.
Founded seven years ago in Sydney, Australia, Afterpay has millions of active customers globally and is offered at the world’s best retailers around the world including Anthropologie, Revolve, DSW, GOAT, Finish Line, Levi’s, Mac Cosmetics, Ray-Ban and many others. Afterpay is on a mission to power an economy in which everyone wins.
Afterpay is completely free for customers who pay on time – helping people spend responsibly without incurring interest, fees or extended debt. Afterpay empowers customers to access the things they want and need, while still allowing them to maintain financial wellness and control, by splitting payments in four, for both online and in-store purchases. Afterpay is deeply committed to delivering positive outcomes for customers. We are focused on supporting our community of shoppers.
We trust in the next generation and share a vision of a more accessible and sustainable world in which people are rewarded for doing the right thing.
Job Description
North America is a key battleground in the increasingly competitive buy-now-pay-later (BNPL) space. Afterpay is a global leader in the category and is seeking an experienced professional to serve as a key analytics partner to the North America sales team as we defend and grow our position in the region. You will work on a small and nimble team and have the opportunity to perform novel, high-impact analyses for a hungry and supportive group of stakeholders.
You are just as comfortable diving deep into data sets to deliver detailed and well-structured models and analyses as you are turning around scrappy but well thought out insights to support a fast-moving business. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams.
You will:
Work closely with Sales stakeholders to understand their needs and pain points and proactively propose, develop, and deploy scalable solutionsAssist the Sales team in developing methodologies and frameworks to accurately assess and measure the projected and realized business impact of various operational strategiesProvide tailored input to propel key business initiatives forward, working on small cross-functional teams as the key analytics point of contact Isolate, identify and communicate data issues to technical and non-technical audiences and clearly convey impact and remediation plans verbally and in writingWork with partner teams to establish tracking, metric definition and data warehousing requests with an eye for data clarity, completeness, and integrity
Qualifications
5+ years relevant experience or 3+ years relevant experience with a pertinent master’s degreeQuantitative background in statistics, mathematics, computer science, or related disciplinesWork experience with analytics tools like Python, R, and SQL and data visualization tools like Tableau, Looker, or Power BI. Ability to influence senior stakeholders, stand up for yourself, and express disagreements in a constructive and gracious mannerStrong project management skills and ability to work effectively in a fast-paced environment with multiple competing priorities and tight deadlinesPrior experience partnering with Sales teams is ideal but not required
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.