Data Scientist Manager Pricing R D Auto

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
In this role as the Data Scientist Manager, Pricing R&D (Auto):
Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a strong leader to build products that create confident, happy customers.
What will you do as the Data Scientist Manager, Pricing R&D (Auto)?

Roll up your sleeves to design, gain alignment, and execute on impactful initiatives spanning our customers’ journey
Lead a small but mighty team to build the future of our insurance product
Collaborate with the State Product Management, Product and Technology, Legal and Compliance, Growth, Marketing, and the ClearAI team to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making across Clearcover
Embrace and champion agile development practices and function as the day to day scrum master on directly managed team(s)

What do you need as the Data Scientist Manager, Pricing R&D (Auto)?

7+ years of experience applying advanced quantitative or predictive modeling techniques
Successful track record of managing small teams in an Agile framework
Strong intellectual curiosity with a bias towards action
Deep insurance knowledge with Auto and Property experience preferred
Strong communication skills with the ability to understand and explain P&L concepts to a non-technical audience

What would make you an exceptional candidate as the Data Scientist Manager, Pricing R&D (Auto)?

Strong programming skills with experience in SQL, and R or Python
Extensive product development experience from concept through post launch monitoring

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected.
With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!


Auto Data Scientist Pricing R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
In this role as the Auto Data Scientist, Pricing R&D
Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a technical insurance pro to build products that create confident, happy customers.
What will you do as the Auto Data Scientist, Pricing R&D?

Roll up your sleeves to execute on the most important initiatives spanning our customers’ journey
Apply your predictive modeling skills to create the future of our insurance product
Drive analyses that maximize portfolio lifetime value through individual risk selection
Democratize data and insights to facilitate data-driven decision-making across Clearcover
Present your technical recommendations to Clearcover’s senior leaders

What do you need as the Auto Data Scientist, Pricing R&D?

3+ years of experience applying predictive modeling techniques

Strong intellectual curiosity with a bias towards action
Insurance knowledge with Auto and Property experience is a must
Excellent programming skills with experience in SQL, and R or Python
Strong communication skills with the ability to explain insurance concepts to both technical and non-technical audiences

What would make you an exceptional candidate as the Auto Data Scientist, Pricing R&D?

Product development experience from concept through post launch monitoring

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected.
With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!


Staff Data Scientist

Responsibilities

Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build machine learning infrastructure, data pipelines and production ready services to serve live traffic
Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business

Requirements

MS in Computer Science, Computer Engineering, or related field
4+ years of experience building large scale recommendation engines, ranking, and personalization systems
Thorough understanding of machine learning fundamentals and methodologies
Experience building and deploying machine learning models in an applied setting
Strong understanding of how to build scalable ML systems supporting online and offline applications
Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML
Familiarity with best practices of lifecycle management for ML models in industry
Mastery of a programming language such as Python, Java, Scala

Preferred

PhD in computer science or related field
Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc.
Industry experience in building large-scale recommendation systems in a consumer-based setting.

Technical Experience

AWS Lambda for data ingestion and Kinesis Firehose to transport them into S3
Step functions and Lambdas to coordinate workflows
AWS Redshift as the data warehouse + Spark on EMR for doing ETL
Terraform for maintaining infra
Jenkins & CircleCI for build pipelines
Postgres RDS is our application database
Our code base is primarily in Golang & Typescript. However, our data bits are mostly in Python.

Check out our Engineering Blog!


Data Science Internship Fall

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.

As our team is reimagining what it means to manage your money, Wealthsimple interns are able to be at the forefront of Canada's leading digital financial products and work with smart, high-performing team members who will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for people who love a fast-paced environment and want to ship often and make an impact with groundbreaking ideas.

Internships @ Wealthsimple
At Wealthsimple, we offer 4 to 12-month internships that are open to co-op and non-co-op students, recent grads, and career changers. During your remote-first internship, you will be able to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth and provides mentorship while also connecting to the broader Wealthsimple community!

Data Science @ Wealthsimple
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

What you can expect from the interview process:

First Interview: 30-minute technical interview (in your language of choice) with two interviewers. We are looking for technical proficiency and judgement, adaptability, communication, and teamwork!

Second Interview: 45-minute Interview with a Hiring Manager where you will be walking through a project review and also find out more about your potential team.

Last Stage: Offer! 🎉

Interns @ Wealthsimple are completely integrated into the teams they join and get to work on meaningful projects during their time with us! This Fall, we're looking to add Data scientists across our times! Throughout the interview process, we’ll learn more about your skills and interests to match you with the right team at Wealthsimple 🙌

Applications are due on May 16th, 2022.

We're looking for people who:

Are driven to ship frequently
Take ownership in working on projects to successful completion
Enjoy tackling new, complex challenges on a regular basis
Are comfortable with self-directed learning
Believe that debate, inclusivity and transparency result in better products
Are eager to learn from your team and others. We value making one another successful!

Things you should know about our tech before applying:

Familiarity with Python, SQL
Basic understanding of statistics: either frequentist and Bayesian approaches
Basic understanding of fundamental machine-learning algorithms: regression and decision trees
First-hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Excellent communicator

We’re a remote-first team and output is more important than face time, 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 embrace difference. We believe that getting to the best outcomes requires diverse perspectives and backgrounds. We create space where all voices can be heard so that we can all do our life's best work. We’re committed to openness, curiosity and creating an inclusive culture as we know that diverse teams build better products and generate better ideas. 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 Intern

Introduction to 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!
About the Data Science Team:
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:

Help 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:

Current students or those who have graduated within the past year are encouraged to apply
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.
Able to break down complex problems and come up with simple innovative solutions
Data is your thing, you love metrics and use metrics to drive projects


Data Science Lead

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    Magic Eden

Engineering

    ·

    Fully Remote
Data Science Lead
Apply for this job
Magic Eden is the #1 NFT marketplace on Solana. Our mission is to be the destination for discovering, trading, and creating NFTs. Magic Eden has been a community-first marketplace since day 1 and strives to be the most customer-centric NFT marketplace.
Magic Eden is a remote first company with competitive benefits and perks; all the roles are open for global talent.
We're looking for an experienced Data Science Lead to develop insights and frameworks that guide our product roadmap, and to build and maintain data driven optimization models that help elevate our business at scale. The ideal candidate will be passionate about Magic Eden, have strong analytical skills and have experience using data analytic software. You will work closely with our product and engineering teams to get a better understanding of our customers' needs, and use that knowledge to drive and expand growth within our company.
Responsibilities
Build and maintain data products to generate business insights and improve operational efficiency
Use quantitative analysis and the presentation of data to understand what drives our company
Provide insights in marketplace dynamics, users behaviors, and long-term trends
Work closely with our data engineering team to make effective decisions and build pipelines
Building machine learning models that help improve our customer experience and enhance operational efficiency
Design data modeling processes, create algorithms and predictive models
Work closely with a team of engineers to implement, document and monitor our evolving data infrastructure

Qualifications
7 years of experience in the data science/data analytics industry
Understanding of statistical concepts and proficient experience in applying them
Great professional experience in analytics, business analysis or comparable consumer analytics position
Proficient in tableau, SQL and other industry standard software
Strong cross-functional skills and the ability to thrive in a fast-paced work environment
Strong analytical skills and ability to to develop, and implement analytical data models and dashboards
Strong communication and interpersonal skills

Preferred Qualifications
Knowledge in database, big data and modeling concepts
A strong passion and in-depth understanding of the NFT ecosystem
Knowledge of blockchain, crypto and web3 applications

Magic Eden Offers
Competitive compensation and profit-sharing equity
Getting to work in a dynamic environment and be part of an international team
Working in a high impact environment with a fast feedback loop to implement immense personal growth

Magic Eden is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Magic Eden is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at hrops@magiceden.io

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Data Scientist

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    Magic Eden

Engineering

    ·

    Fully Remote
Data Scientist
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Magic Eden is the #1 NFT marketplace on Solana. Our mission is to be the destination for discovering, trading, and creating NFTs. Magic Eden has been a community-first marketplace since day 1 and strives to be the most customer-centric NFT marketplace.
Magic Eden is a remote first company with competitive benefits and perks; all the roles are open for global talent.

We're looking for an experienced Data Scientist to develop insights and frameworks that guide our product roadmap, and to build and maintain data driven optimization models that help elevate our business at scale. The ideal candidate will be passionate about Magic Eden, have strong analytical skills like experimental design, statistical modeling and dashboarding/data visualization. You will work closely with our product and engineering teams to get a better understanding of our customers' needs, and use that knowledge to drive and expand growth within our company.
Responsibilities
Build and maintain data products to generate business insights and improve operational efficiency Use quantitative analysis and the presentation of data to understand what drives our company Provide insights in marketplace dynamics, users behaviors, and long-term trends Work closely with our data engineering team to make effective decisions and build pipelines Building advanced statistical modeling, machine learning, or data mining techniques that help improve our customer experience and enhance operational efficiency Design data modeling processes, create algorithms and predictive models  Work closely with a team of engineers to implement, document and monitor our evolving data infrastructure
Qualifications
Required Qualifications
3-5 years of experience in the data science/data analytics industry Basic understanding of experimental design (such as A/B testing) and statistical methods Ability and experience in extracting insights from data, and summarizing learnings / takeaways Proficient in SQL and some dashboarding/data visualization (i.e Tableau, Mixpanel, Looker, or similar) Strong cross-functional skills and the ability to thrive in a fast-paced work environment Strong analytical skills and ability to develop, and implement models and dashboards Strong communication and interpersonal skills
Preferred Qualifications
Knowledge in database, big data and modeling concepts  A strong passion and in-depth understanding of the NFT ecosystem Knowledge of blockchain, crypto and web3 applications
Magic Eden Offers
Competitive compensation and profit-sharing equity  Getting to work in a dynamic environment and be part of an international team Working in a high impact environment with a fast feedback loop to implement immense personal growth
Magic Eden is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Magic Eden is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at hrops@magiceden.io
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Principal Data Scientist

Synergy Sports, A Division of Sportradar, is looking for a talented Principal Data Scientist to join our software team.
Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.
Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as:
Sports Workflow ApplicationsSports Analytics Systems
Synergy Sports is a globally distributed company, with employees working from home offices. The Director of Data Science must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.
The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.
Objectives & Responsibilities
The Principal Data Scientist will work on the following types of projects and tasks:
Lead and grow a global squad of data scientists and data engineers,Collaborate closely across the sport verticals (basketball, baseball, hockey), sales, and product teams to prioritize a roadmap for the data science team,Promote best practices in all aspects of the engineering and modeling lifecycles,Deliver ML models and data pipelines that solve challenging problems,Build trust and foster a collaborative team culture of engineering excellence, andMentor and develop people across all levels through fostering exploration, knowledge-sharing, and leveraging the skills of others.
Requirements
Key Requirements and Attributes:
5+ years leading data science or software engineering teamsExperience with the full ML development lifecycle using modern technology in a business-critical settingStrong understanding of state-of-the-art data science techniquesInspiring leadership style that will attract and develop a high-performing teamAbility to stimulate collaboration across technical groupsExcellent communication skills for technical and non-technical audiences.
Bonus Superpowers:
MS or PhD in a quantitative field (e.g. engineering, mathematics, computer science, physics, etc…)Experience with leading geographically diverse teamsFamiliarity with Amazon AWSExperience with geospatial and time series data setsAn interest in sports
Benefits
Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.Competitive salary based on your experience.


Data Scientist

Synergy Sports, A Division of Sportradar, is looking for a talented Data Scientist to join our software team.
Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.
Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as:
Sports Workflow ApplicationsSports Analytics Systems
Synergy Sports is a globally distributed company, with employees working from home offices. The role must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.
The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.
Requirements
5+ years of experience in data science or data engineering related roleDemonstrated, creative problem-solving using data analysisApplied experience with regression analysis and other statistical modeling techniquesStrong proficiency in PythonFundamental understanding of Machine learning concepts (e.g. cross-validation, statistical basis for ML algorithms, etc..)
Bonus Superpowers:
Experience scaling and operationalizing data science models in production settingsExperience working with MongoDB, MySQL, or other relational/noSQL databasesSoftware engineering backgroundSport-specific analytics experiencePrevious experience leading a team
Benefits
Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.Competitive salary based on your experience.


Sr Data Scientist Machine Learning Ads Quality

We are looking for a Machine Learning Data Scientist to work within the Ads Data team. You will work closely with engineers and product owners from our Ads team to 1) optimize ads delivery and auction systems, 2) shape product roadmap and strategy of ads quality and relevance. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Research, design and develop contextual ad relevance models. Reddit ad is a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality.
You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations.
Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

What We Can Expect From You:

Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
Master’s or PhD degree is preferred but not required
4+ years of experience (for Bachelor’s/Master’s); 2+ years of experience (for Phd) in quantitative/modeling roles, preferably for a consumer-facing service/app
Proficiency in machine learning, statistical modeling, and optimization
Understanding of experimentation and causal inference analyses
Strong analytical and communication skills
Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
Computer vision experience strongly preferred
Strong skills in SQL and programming (Python or R)
Experience in online advertising is preferred but not required


Sr Data Scientist Analytics Ads Measurement

We are looking for a Data Scientist to work with our Ads Measurement product team. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product decision and strategy.  In addition to strong analytical skills, you will have an interest in data quality and collaborating with engineers to ensure we have the data we need to assess product performance.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We have spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data team you’ll be a key player in ensuring we make the right product decisions based on data insights, play with the large datasets from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:

You will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company.  You’ll play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
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:

Analyze conversations and behaviors across Reddit's 10,000 interest-based communities, and convert them into insights and product recommendations.
Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers.
Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Who You Might Be:

2+ 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
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising or marketing attribution


Data Scientist Lead Payments

What You'll Do:

Build, optimize, and scale money-moving systems across all of our products and users
Drive strategic deals and integrations with partners across the payments ecosystem, including banks, credit card networks, and processors
Reconcile payments data between systems, banks, and processors
Develop a data-driven roadmap for new financial products
Collaborate with cross-functional teams including engineering, data science, finance, and operations
Help us rethink how businesses and people pay for and use their employee benefits
Identify and scope product challenges that are ripe for data science solutions—like risk modeling, data-informed insurance plan design, dentist search optimizations
Work cross-functionally to inform data collection, productionize data science work, and integrate machine learning into the product

Who You Are:

4+ years of payments, finance, or consulting experience
5+ years of industry experience in relevant roles such as data scientist, data analyst, or data engineer
Expertise with payments infrastructure (ACH) and reconciliation (AR/AP)
Experience working with and building API integrations with large partners
Strategic thinking, problem solving, and analytical skills
Clear and effective communication style
An ownership mentality, eager to grow in an early-stage company
Prior experience in risk modeling, forecasting, or working with time series data
Prior experience working with dirty or high-dimensional, categorical data
Experience with SQL, proficiency in one scripting language like R or Python working in a collaborative development environment, and willingness to pick up new programming languages.
Experience working with highly confidential information.
Bonus: Prior experience working with healthcare and insurance data, and experience leading a team of Data Scientists and Data Analysts.

Our technologies:

These are some of the technologies we use today. You don’t need to be familiar with all of these; many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.

Languages and libraries - Python, Go, Protobuf, gRPC
Amazon Web Services (AWS) - Relational Database Service (RDS), S3, Elastic Kubernetes Service (EKS), Sagemaker
Google Cloud Platform (GCP) - BigQuery
GitLab
ElasticSearch
Looker

What We Offer:

Have the chance to work at a leading innovator and trailblazer in the world of insurance and payments.
Competitive salary and equity
100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
Flexible vacation policy - take the time you need when you need it!
Fully Paid Parental leave for 3 months
Quarterly Company sponsored events
Internal learning and development programs


Data Scientist Risk

What You'll Do:

Identify and scope product challenges that are ripe for data science solutions—like risk modeling, data-informed insurance plan design, dentist search optimizations
Work cross-functionally to inform data collection, productionize data science work, and integrate machine learning into the product
Drive new features and improvements across all our products and services by finding innovative ways to use data to help customers
Build the infrastructure that allows us to scale by defining analytic requirements, developing analysis plans, and ensuring data quality standards

Who You Are:

5+ years of industry experience in relevant roles such as data scientist, data analyst, or data engineer
Strong product sensibilities
Critical thinking, problem solving, and analytical skills
Clear and effective communication style
Prior experience in risk modeling, forecasting, or working with time series data
Prior experience working with dirty or high-dimensional, categorical data
Prior experience productionizing data science work
Experience with SQL, proficiency in one scripting language like R or Python working in a collaborative development environment, and willingness to pick up new programming languages
Bonus: Prior experience working with healthcare and insurance data, and experience leading a team of Data Scientists and Data Analysts

Our technologies
These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.

Python
MySQL
GitLab
Amazon Web Services (AWS)
ElasticSearch
Kubernetes
Looker
Go
Protobuf / gRPC

What We Offer:

Have the chance to work at a leading innovator and trailblazer in the world of insurance and payments.
Competitive salary and equity
100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
Flexible vacation policy - take the time you need when you need it!
Fully Paid Parental leave for 3 months
Quarterly Company sponsored events
Internal learning and development programs


Data Science Intern

Please Note: This is a Fall 2022 (Sept - Dec 2022) Internship

What You'll Do:

Build data-driven products such as fraud detection systems, insurance plans, and dentist search optimizations.
Work cross-functionally with engineering, clinical, and operations to inform data collection, productionize data science work, and integrate machine learning into the product
Drive new features and improvements across all our products and services by finding innovative ways to use data to help customers
Work on building the data model our platform will use to organize information for online and offline use

Our technologies:
These are some of the technologies we use today, but they aren't a requirement. Many successful members of our team learned them with us. During our interview process, you are free to use any language you're most comfortable with.
- Python
- Go
- Kubernetes
- Protobuf / gRPC
- AWS
- SQL
- ElasticSearch
What We Offer:

Mentorship from day 1 to help acclimate you to the company and ensure you're set up to succeed
Frequent feedback on projects to help fuel growth and success
Ability to learn new technologies and work on projects based on your current skillset and growth goals
Participation in decisions that go into launching the product
Opportunity to work closely with a team that collectively has decades of experience in the tech industry
Social hour every two weeks
Competitive compensation
Travel to NYC for team events
$100 monthly food stipend
$200 home/office set-up reimbursement


Senior Data Scientist

Liveperson B3E7D1B9 E969 4833 Ad29 0B075Ce3Cfe8

Senior Data Scientist- Remote
United States | Data Science & ML
Apply
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou can build partnerships that move our business forward You see feedback or failure as motivation to learn and to grow You believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role, you will work with one of the world’s largest goal-oriented conversational datasets to push the boundaries of computational linguistics and drive innovative new products. In addition to a world-class data set, you’ll also have an at-scale population of expert data annotators (contact center agents) to help drive investigation and learning.
In this role you will:
Analyzing and drawing insights from large scale conversational datasetsChoosing between many available state-of-the-art methods and tools, and consistently finding the most effective, efficient, stable, explainable, and where possible, simple approachesDesigning and building modern, flexible pipelines and services for delivering and navigating insights Creating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to intent and dialog management, and create pipelines to accelerate and scale this effortUsing and presenting research findings in ways that inform and sometimes guide business and product strategyCommunicate the research findings to the internal business stakeholders.
Your qualifications are:
Masters/PhD in Mathematics, Statistics, Operations Research, Computer Science, Machine Learning or a related field, or BSc + ExperienceAnalysis, problem-solving, communication, and critical-thinking skillsCore strength in Statistical models, e.g., for significance testing, forecasting, regression, hypothesis testing,  causal inference, and AB testingUnderstanding of ML fundamentals, ideally including Deep LearningStrong hands-on programming skills, e.g., Python and SQL, Experience with frameworks for Statistical Analysis, Machine Learning (Pandas, Scikit-Learn, etc.)Ability to efficiently write, test, monitor, and improve production-quality codeCuriosity and interest in learning new applications and toolingAbility to work closely with teammates in a highly collaborative environment, as well as providing strong individual contributionsProduction ML evaluation and monitoring performance once completedUnderstanding of NLP/NLU is preferred
#LI- Remote
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits and  flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Data Scientist Ii Dialogue Management

Data Scientist II - Dialogue Management- Remote
United States | Data Science & ML
Smart Apply
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou can build partnerships that move our business forwardYou build code that is simple, understandable, and clean  You see feedback or failure as motivation to learn and to grow You believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role you will:
Develop and apply machine learning approaches to conversational decision making and dialogue management in both a commercial and research settingUse your expert knowledge of state-of-the-art methods and tools to consistently find the most effective, efficient, stable, explainable, and elegant approachesDesign and build modern, flexible machine learning training pipelinesAnalyze large scale conversational datasetsBringing research-driven models to life within production systemsCreating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to dialog management, and create pipelines to accelerate and scale this effortUse and present research findings in ways that inform and sometimes guide business and product strategyLead publication efforts in top dialogue conferences such as ACL, SIGdial, Neurips, Interspeech…etc
Your qualifications are:
Masters/PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related fieldPublication history in AI/ML/NLP conference with a focus on dialogue management research or extensive experience within the commercial space working on production dialogue management systems.Hands on experience with Deep Learning for dialogue management Analysis, problem-solving, communication, and critical-thinking skillsStrong understanding of Machine Learning fundamentalsStrong programming experience in PythonStrong communication skills and a team player
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits and flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
By clicking apply for this job you acknowledge that information submitted to LivePerson is subject to LivePerson's  General Data Protection Regulation Candidate Privacy Notice  (applicable only to EU candidates) and  California Consumer Privacy Act Privacy Notice  (applicable only to California candidates). For all other applicants, you may disregard this notice and click confirm to submit your application.
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Lead Data Scientist Risk And Fraud

Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck.

As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii.

Team Overview

Dave is looking for an experienced and passionate lead data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers.

What You'll Do

Be constantly curious and continue to pursue in-depth explorations of our datasets and business.
Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders.
Independently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on.
Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current- and next-generation GPU, network and compute architecture.
Partner with the Engineering and Product teams to develop and deploy ML solutions into production.
Participate in production ML infrastructure design or enhancement with holistic vision and best practices in the industry.
Enforce and enhance the high quality and high performance principles to the team.

What You'll Need

Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus.
7+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on.
7+ years experience as an ML scientist/engineer with proven ability in developing ML models in Python/R
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms
Ability to communicate your ideas/code clearly to business stakeholders.
Enjoy working with multiple levels and teams across organizations (engineering, product and marketing teams etc.)
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Preferred Experience

ML model deployment in production experience plus
Experience in Financial Services or FinTech plus
Experience in credit, fraud, automation and personalization/recommendation system

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums 100% covered for you and 80% for your dependents
• Company provided Basic Life and Short-Term and Long-Term Disability plans
• Generous paid parental and caregiver leave
• Voluntary Life Insurance
• 401(k) savings plan with matching contributions
• Unlimited PTO and generous company holidays
• Company laptop and home office stipend
• Personal financial advisor

Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE #BI-Remote


Senior Data Scientist

Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck.

As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii.

Team Overview

Dave is looking for experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers.

What You'll Do

Be constantly curious and continue to learn/pursue in-depth explorations of our datasets and business.
Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders with/without direction from a tech lead.
Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on.
Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current and next generation GPU, network and compute architectures
Partner with our Engineering and Product teams to develop and deploy ML solutions into production.
Continuous monitoring and evaluating model performance
Conduct model related analyses to provide comprehensive insights about ML solutions with high quality principles in mind.

What You'll Need

Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus.
5+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on.
5+ years of experience as an ML scientist/engineer with proven ability in developing ML models in Python/R
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms
Ability to communicate your ideas/code clearly to business stakeholders.
Enjoy working with multiple levels and teams across organizations (engineering, product, business and marketing teams etc.)
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Preferred Experience

ML model deployment in production experience plus
Experience in Financial Services or FinTech plus
Experience in credit, fraud, automation and personalization/recommendation system

#LI-KM1

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums 100% covered for you and 80% for your dependents
• Company provided Basic Life and Short-Term and Long-Term Disability plans
• Generous paid parental and caregiver leave
• Voluntary Life Insurance
• 401(k) savings plan with matching contributions
• Unlimited PTO and generous company holidays
• Company laptop and home office stipend
• Personal financial advisor

Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE #BI-Remote


Data Scientist Ii

Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck.

As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii.

Team Overview

Dave is looking for experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers.

What You'll Do

Be constantly curious and continue to learn/pursue in-depth explorations of our datasets and business.
Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders with/without direction from a tech lead.
Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on.
Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current and next generation GPU, network and compute architectures
Partner with our Engineering and Product teams to develop and deploy ML solutions into production.
Continuous monitoring and evaluating model performance
Conduct model related analyses to provide comprehensive insights about ML solutions with high quality principles in mind.

What You'll Need

Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus.
3+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on.
3+ years of experience as an ML scientist/engineer with proven ability in developing ML models in Python/R
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms
Ability to communicate your ideas/code clearly to business stakeholders.
Enjoy working with multiple levels and teams across organizations (engineering, product, business and marketing teams etc.)
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Preferred Experience

ML model deployment in production experience plus
Experience in Financial Services or FinTech plus
Experience in credit, fraud, automation and personalization/recommendation system

#LI-KM1

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums 100% covered for you and 80% for your dependents
• Company provided Basic Life and Short-Term and Long-Term Disability plans
• Generous paid parental and caregiver leave
• Voluntary Life Insurance
• 401(k) savings plan with matching contributions
• Unlimited PTO and generous company holidays
• Company laptop and home office stipend
• Personal financial advisor

Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE #BI-Remote


Data Scientist I

Dave is a banking app on a mission to build products that level the financial playing field. To date, we've helped more than 11 million customers bank, budget, avoid overdraft fees, find work, and build credit—and we're just getting started. We believe in a world where everyone has access to financial opportunity and the ability to reach their personal financial goals. With a growing suite of tools and services, we provide a superior banking experience for anyone living paycheck to paycheck.

As a virtual-first company, there is no preference on where we get our work done. You are able to live anywhere in the United States, with the exception of Hawaii.

Team Overview

Dave is looking for experienced and passionate full-stack data scientists for our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers.

What You'll Do

Be constantly curious and continue to learn/pursue in-depth explorations of our datasets and business.
Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders with/without direction from a tech lead.
Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on.
Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current and next generation GPU, network and compute architectures
Partner with our Engineering and Product teams to develop and deploy ML solutions into production.
Continuous monitoring and evaluating model performance
Conduct model related analyses to provide comprehensive insights about ML solutions with high quality principles in mind.

What You'll Need

Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required. PhD plus.
1+ year of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on.
1+ years of experience as an ML scientist/engineer with proven ability in developing ML models in Python/R
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms
Ability to communicate your ideas/code clearly to business stakeholders.
Enjoy working with multiple levels and teams across organizations (engineering, product, business and marketing teams etc.)
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Preferred Experience

ML model deployment in production experience plus
Experience in Financial Services or FinTech plus
Experience in credit, fraud, automation and personalization/recommendation system

#LI-KM1

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums 100% covered for you and 80% for your dependents
• Company provided Basic Life and Short-Term and Long-Term Disability plans
• Generous paid parental and caregiver leave
• Voluntary Life Insurance
• 401(k) savings plan with matching contributions
• Unlimited PTO and generous company holidays
• Company laptop and home office stipend
• Personal financial advisor

Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE #BI-Remote


Senior Performance Marketing Data Science Manager

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.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a best-in-class product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the Marketing and Data Science organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role could be a great fit!
We're looking for a Senior Manager with strong technical and leadership skills to lead our Performance Marketing Data Science team. I
In this role, you will:
Partner with one of Atlassian's most data driven teams to measure performance and identify opportunities within Paid Advertising, Content Marketing & Email.Apply creative analytical problem solving skills to a wide variety of questions to deepen our understanding of marketing channel effectiveness.Work cross functionally with Data Engineering, Machine Learning and Operations teams to bring data to the forefront of marketing decision making.Build and lead a high performing team of data scientists (team of 5 today with significant growth planned).
On the first day, we'll expect you to have:
6 + years of experience in analytics or closely related fields2 + years of experience managing teamsA passion for building analytics frameworks to measure new and open ended business strategiesExperience with marketing measurement techniques including channel attribution, lifetime value/mROI and incrementality testing. A proven track record for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsComfort 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
It's great, but not required, if you have:
Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.Experience with scripting and analysis languages (Python, R)Familiarity with statistics and probability


Data Scientist Talent Acquisition

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.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will partner with other analysts to help support best-in-class talent acquisition with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the talent acquisition and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong then this role could be a great fit!
On the first day, we'll expect you to have:
3-5 years of experience in HR/recruiting analytics or closely related fieldsProficiency in reading and writing SQL queriesA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impactComfort working with remote teammates and remote-friendly workflowsExperience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required, if you have:
Experience with HR and recruiting in high-growth companiesExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for recruiters and leadership teamsFamiliarity with statistics and probability


Machine Learning 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.
Atlassian is looking for a Machine Learning Scientist specializing in search to join our Core ML team! You will be a member of the Core ML team but also partner with the Search Platform team to help to build out the machine learning and data science capabilities to provide our Atlassian customers with a fast, relevant search experience.
Your work will impact millions of users across a whole suite of Atlassian products as you define the foundations for how teams find what they are looking for. This position offers a unique opportunity to work in an exciting environment by implementing cutting-edge machine learning techniques to solve tough, yet unique problems in the enterprise search space.
In this role, you'll get to:
Tune the search strategy across a large variety of information retrieval use cases and query intentsApply and refine optimization and NLP techniques to enable a more personalized, customized search using behavioral data and user-generated contentDesign and execute experiments to test hypotheses for improving the relevance of search resultsWork with our seriously large volume of analytics data to understand insightful trends and behaviorsCraft machine learning and predictive models to drive intelligent product features
On your first day, we'll expect you to have:
Bachelor or higher degree (or equivalent) in a quantitative subject (statistics, mathematics, computer science, engineering, or physics)Industry experience in the data science or machine learning domainDevelopment experience in a programming language, Python is strongly preferredExpertise in SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience developing, building, and scaling machine learning models in business applications using large amounts of data. Previous experience in search or recommender systems is highly regardedAbility to communicate and explain data science and machine learning concepts to diverse audiences and craft a compelling storyFocus on business practicality and the 80/20 rule; very high bar for output quality but recognize the business benefit of “having something now” vs “perfection sometime in the future”Agile development approach, appreciating the benefit of review, constant iteration, and improvement within a collaborative team environment
It's great, but not required if you have:
Experience working in an enterprise or B2B space for a SaaS product provider, as well as the consumer or B2C spaceExperience with information retrieval and solving complex search relevance and ranking problemsFamiliarity with search technologies including ElasticSearch, Solr or otherwiseKnowledge of advanced machine learning and deep learning methods applied to digital user behaviours


Head Of Product Data Science Workplace 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.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us:
We're looking for an Analytics & Data Science leader (Group Manager) with strong business instincts, management experience, creativity, and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, drive smarter product decisions, and ultimately delight our customers.
In this role you'll get to:
Collaborate with Atlassian’s product leaders 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 science managers and plan insight and measurement roadmaps by collaborating with product partners, customer research, data engineers and other analystsDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueBe 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
On the first day, we'll expect you to have:
Extensive proven experience applying your analytics to initiatives which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality; with experience coaching teams to balance rigor, perfection and speedStrong ability to influence; crafting compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertaintiesFamiliarity partnering with multiple business functions. For example; Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsExtensive previous experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in A/B experimentationA degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
An understanding of SaaS business model and metricsPreviously worked in global teams and high growth companiesAre an active member of the broader analytics and data science community


Senior Product Data Scientist Work 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.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
We are looking for a Senior Data Scientist to join our Product Data Science team. We're seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to drive smarter product strategy and ultimately, delight our customers. You will partner with our Work Management leadership team (includes products Confluence and Trello) informing their strategies with data and insight as they define Atlassian's place in defining the future of work for all types of teams (beyond software and IT teams, our key markets). If you are looking to make a big impact, partner closely with senior product leadership, and take your career to the next level, we encourage you to join us in this exciting journey!
In this role, you'll get to:
Partner directly with product leadership on building strategies and product roadmaps for our Work Management offerings.Leverage our rich user and customer data to drive actionable analytics insights, build scalable solutions, define success metrics and measure the impact of various product and business initiatives.Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts.Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions.
On your first day, we'll expect you to have:
5+ years of experience in applying your analytics skills to projects which have had a positive impact on company-level business and product decisions.A passion and talent for product and business strategy. Being comfortable with open-ended questions and ambiguity.Excellent verbal & written communications skills. Explaining complex concepts to diverse audiences, and crafting compelling stories.Demonstrated ability to work in a fast-paced environment, build strong, influential cross-team and cross-functional partnershipsAn agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Expertise in data manipulation and statistical programming languages (e.g. SQL, R or Python).Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny).Experience in using statistics as part of your role (e.g. regressions, A/B tests, causal inference).
It's great, but not required of you to have:
An understanding of the SaaS development, business model, and metrics.Experience in product analytics, customer analytics or other analytics function within a tech company.Experience working in a global environment with remote teams.Experience across a broad set of statistical and machine learning methods to build descriptive and predictive models.


Data Scientist

Job Title: Data Scientist
Location: Remote (US-Only)

About InMarket
Since 2010 InMarket has been a leader in 360-degree consumer intelligence and real-time marketing for thousands of major brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate real-time, and measure success in driving sales.
InMarket, which raised no venture capital funding to date, holds more than 27 patents across location, attribution and digital marketing, and its GeoLink self-service marketing platform was awarded Best Location Marketing Platform at the 2021 MarTech Breakthrough Awards and best Location Platform at the 2020 Digiday Technology Awards. InMarket ranked 280 on the 2021 Deloitte Technology Fast 500 list and its nationwide team is united across more than 20 states.

Your Role
Data science is a core driver of InMarket’s product design and innovation. As a data science team member, you will have the opportunity to leverage cutting-edge machine learning on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.
Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading digital advertising and measurement products. These solutions will be intelligent, adaptive, operate at scale and make decisions on how to act within milliseconds. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.

Responsibilities and Duties

Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production
Take ownership of core machine learning products to expand our capabilities and push our performance boundaries
Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements
Collaborate closely with our engineering and product teams to expand our machine learning platform

Qualifications

Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
Solid understanding of modern data science and machine learning theory and methods
Professional or academic experience using statistical modeling and machine learning to solve complex, data-driven problems
Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus
Familiarity with the digital media / advertising industry is a big plus.

Benefits Summary

Competitive salary, stock options, flexible vacation
Medical, dental and Flexible Spending Account (FSA)
Company Matched 401(k)
Unlimited PTO (Within reason)
Talented co-workers and management
Agile Development Program (For continued learning/professional development)
Paid Paternity & Maternity Leave

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.


Manager Sr Manager Analytics Consulting

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.RESPONSIBILITIES: Applying management concepts such as pricing theory, operations and supply-chain management, demand forecasting methods, etc. to build data models Ability to understand the business context by discussing existing data models with senior client leaders Ability to break down a project into specific tasks involving business analysis, data science and engineering Ability to work with IT and Data Engineering teams to embed analytic outputs in business processes Direct teams of business analysts to create data driven solutions Architect data analytics frameworks and solutions to solve data driven business problems Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models Research the academic and industrial best practices in the data modeling and analytics field Develop use cases such as market-mix modeling, Bayesian modeling, Time-series modeling, natural language processing, and image analytics. Build quantitative programs using latest analytics or statistical modeling tools Extract, transform and organize the data into datasets using tools like SQL Develop solution algorithms using statistical modeling tools using R, SAS, etc. Report the results and insights using business intelligent tools like Tableau, Micro Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions Experience in Python/PySpark. Knowledge of traditional SQL databases like DB2 and Teradata as well as big data platforms like Azure Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc.  6-10 years of professional work experience with at least 5 years in business data analytics Bachelor's degree in business administration or a closely related field. MBA preferred. Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach Knowledge of statistical and machine learning algorithms Strong project management and team management skills and ability to work with global teams Strong SQL skills and excellent knowledge of visualization tools like Tableau Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.


Senior Data Scientist

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our consultants bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners.  Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements.  Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.