Senior Data Science Manager Customer Support

About the role
We are looking for a Senior Data Science Manager to be part of and lead a team of Data Scientists that partners with our Customer Support Delivery, Service Design & Support Technology teams. The Customer Support Org is the largest organization within Shopify and deeply cares about merchant success through impactful self help & live help interactions with our customers. Access to Shopify’s Support is cited as one of the major reasons for merchants to choose and stay with Shopify as they scale their businesses. The Support org is there to help our merchants from early in their entrepreneurial journey right from helping choose the right plan to all the way as they scale and provide sophisticated business coaching sessions. Support Data Science is a key enabler here and our Mission is to use data to enable all Merchants to have highly relevant, highly satisfactory & value accretive interactions with self-help and live-help.
What your role will look like:
Working closely with an interdisciplinary team, you and your team will be responsible for the evolution of Customer Support tools & technology using data for decision support  (conversations tools for email, chat & phone interactions, self help tools such as Help Center Search & Concierge, Community & Social support tools, etc. etc.) across all surfaces that merchants interact with. Your team will focus on developing strong data foundations, data-driven products, and reporting and experimentation frameworks to empower the Support organization to make great decisions quickly.
Qualifications
You will need to have:
Team development: You’ll need a demonstrated track record of attracting top data professionals (data engineers, data scientists, ML engineers, statisticians, etc.), developing those people (both ICs and managers) to make them even better, and managing the growth of teams. You have several years of experience managing and scaling multiple teams.
Data Experience at scale: You’ve been a leader in companies where data science was used on top of massive data sets to drive product/business decisions and resulted in powerful data products. You have extensive experience with languages like SQL, Spark, and Python.
Analytics expertise: You’ll need to be amazing at coming up with new, meaningful metrics to measure the success of our operations; you'll be equally strong at making sure the data needed to support those metrics are available. You have multiple years of experience managing decisions at scale, including causal inference and experimentation.
Well-balanced skills: People have trouble pinning you down. Business, product, and technical teams claim you as their own.  You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
Passionate about business strategy: You’ve experienced and thrived in similar channel-related environments and have a knack for working with business users that are responsible for top-line growth.
Key technology stack and tools we work with:
Python
SQL
Spark
Google Cloud Platform
Mode/Tableau
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Quantitative Analyst

We are Mythical Games. A venture-backed next-generation game technology company at the intersection of video games and economics led by industry veterans. Our goal is to lead the industry with the launch of exceptional video game experiences that leverage distributed ledger technology while also providing a platform of robust tools that will allow any other game developers to do the same.
We are seeking a Quantitative Analyst to join our growing marketplace team of quants, developers and product leaders. This role will be primarily responsible for the design, development and operation of pricing and market-making algorithms across a growing portfolio of digital assets. We are looking for someone who is passionate about data, and knows how to solve problems using a mix of economic theory, quantitative modeling and their industry experience in a financial or ecommerce setting.
Responsibilities:

Develop, monitor, and improve algorithms that provide liquidity on our marketplace; including models for asset valuation, pricing and fee optimization
Develop causal and predictive models to estimate supply and demand and improve fundamental understanding of the market
Design, execute and evaluate pricing and economic experiments
Analyze and assess new sources of internal and external data
Collaborate with product managers and ML engineers to productize data solutions

Basic Qualifications

Bachelor's degree in a technical field with exceptional academic credentials (e.g., Mathematics, EE/CS, Statistics, or Operations Research)
Intermediate to advanced Python development skills
Experience working with Python scientific computing packages (NumPy, SciPy, pandas, sklearn, PyTorch, JAX)
Proficiency with SQL
Knowledge of optimization methods, statistics, econometrics, and machine learning
Experience contributing to risk and profitability decisions in a marketplace or ecommerce setting

Preferred Qualifications

MA/MS. in a technical field such as Mathematics, Statistics, Economics/Finance, EE/CS, or Operations Research, or bachelor’s degree with 1-3 years of experience in a similar role
Familiarity with the GCP suite, including BigQuery, Composer, and Cloud Functions
Interest in and proficiency with blockchain solutions
Passion for video games

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.


Data Scientist Germany

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.

Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it!

As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, it's installation and configuration, to training users and co-developing data science applications, from design to deployment.

You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases.

Our ideal candidate is comfortable learning new languages, technologies, and modeling techniques while being able to explain their work to other data scientists and clients.

What you'll do...

Co-develop data science projects with our customers
Crunch, analyze and investigate various kinds of data, across industries and use cases
Explore new machine learning algorithms, and apply them to real-world business applications
Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp)
Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc…)
Communicate results to non-technical colleagues and clients
Provide data science expertise to customers and internally to Dataiku’s sales, marketing, and R&D teams

Who you are...

Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
2+ years of experience with R or Python
2+ years of experience with predictive modeling
Familiarity with data visualization in Python, R or JavaScript
Understanding of relational data structures and SQL
Fluent German is required

Bonus points for any of these

Experience with PySpark, SparkR or Scala
Experience developing WebApps
Experience building APIs
Experience with cloud infrastructures, especially Kubernetes
Passion for teaching or public speaking

Benefits

Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini.
A wide diversity of projects and tasks ensures that no two days will be alike
Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence
Exposure to the latest, open-source technologies that Dataiku integrates. See here our release notes for our latest developments.
Trips in Europe and worldwide for company-wide and team summits
Opportunity to work with a smart, passionate and driven team in hypergrowth mode

Please make sure to submit your resume in English

#LI-Remote

About Dataiku:

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.


Director Of Biomedical Data Science

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do.
The biomedical data science (BDS) team is focused on solving problems at the interface of biomedicine, statistics, and machine learning. The BDS team is composed of a diverse set of  scientists with a wide range of backgrounds and experiences, who are passionate about solving translational problems and driving PathAI’s mission of realizing precision medicine with digital pathology. Biomedical data science is central to this effort contributing to efforts ranging from the development of novel machine learning methods to experimental design for model validation. We are looking for a Director of Data Science to lead these efforts at PathAI.
What you’ll do:

Facilitate the development of bio-statistical analysis plans in a team setting with a diverse set of stakeholders
Build and grow the BDS team through hiring, management, and mentorship. .
Operate cross-functionally to enable PathAI to integrate large-scale datasets and generate translational insights.
Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products
 Envision and create scalable computational solutions and processes to further our  clinical data analysis. Develop materials with members of the team to present at academic conferences, publish in journals, and develop new business opportunities.

What you’ll need:

Ph.D. in computational biology, biostatistics, bioinformatics, biomedical engineering, cancer biology, immunology, genetics, or similar with 5+ years of industry experience
Demonstrated history of leadership in managing high impact data science and engineering projects and teams either in business or in academia.
Demonstrated ability of scoping, leading, prioritizing, and contributing to multi-disciplinary team projects.
Familiarity with programming languages such as R AND Python for complex data analysis and reproducible research practices.
Mastery in integrating and analyzing diverse high-dimensional data sets relevant to oncology, immunology, and other areas of clinical relevance.
Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.
Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
Background in clinical data/oncology/immuno-oncology and/or experience working with clinical trial data is a plus.

Benefits
For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:

Flexible work hours, with work-from-home options available
Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
Ten days of 100% subsidized childcare per year
Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
Commuter benefit available for public transit or parking

Most importantly, you'll be doing important work with a team of people you'll genuinely enjoy spending the day with.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
PathAI does not accept unsolicited submissions from third-parties.


Biomedical Data Scientist Summer Internship

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.
We're looking for Biomedical data science interns to join our team and help us solve and achieve our translational research goals.
What you’ll do:

Understanding PathAI’s products and strategic goals, and working towards those goals by innovating on our methods with respect to model performance, translational relevance, rigor, and robustness.
Developing the statistical software that powers retrospective biomarker discovery in clinical trials and prospective evaluation of models at PathAI.
Performing translational research and the development of novel algorithms that enable us to quantify novel morphologic features.
Participating in scientific discovery, which leverages existing products to develop publications which reveal novel disease biology.
Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative deep learning tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside leading innovators in the field of deep learning and medicine, and play a critical role in algorithm development. Unlike other internships, the majority of your time will be focused on doing our most impactful work in the machine learning space.

What you’ll need:

Intellectual curiosity and the ability to learn quickly in a complex space

pursuing master’s degree or PhD in computational biology or related field, preferably with a focus on computational pathology, machine & statistical learning, and/or biostatistics.

At least one+ years of relevant work experience
Computational science software development experience using Python or R

Benefits:

Flexible work hours
Your choice of computer equipment
Fun team events especially for interns
Mentorship from statistics and machine learning experts at PathAI
You will have the opportunity to work in a company culture that puts employees first, is relaxed, focused and hard-working.

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

PathAI does not accept unsolicited submissions from third-parties.


Biomedical Data Scientist

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. Data Science and biostatistics play central roles in this effort. We are looking for a Data Scientist to lead these efforts at PathAI.
What you’ll do:

Lead biostatistics efforts in a team setting of fellow scientists and machine learning engineers
Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance
Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products
Identify scientifically relevant findings within datasets spanning multiple modalities
Develop scalable computational solutions to further clinical data analysis automation across projects
Communicate findings both internally and externally and recommend follow up actions

What you’ll need:

Ph.D. in bioinformatics, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics, or similar with 3+ years of industry experience or strong academic record.
Demonstrated ability of contributing to multi-disciplinary team projects.
Expertise with programming language such as R AND Python for complex data analysis and reproducible research practices.
Mastery in integrating and analyzing diverse high-dimensional data sets relevant to oncology, immunology, and other areas of clinical relevance.
Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.
Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
Excellent problem-solving and collaboration skills.
Strong communication, data presentation, and visualization skills.
Strong publication record.
Background in clinical data/oncology/immuno-oncology and/or experience working with clinical trial data is a plus.

Benefits
For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:

Flexible work hours, with work-from-home options available
Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
Ten days of 100% subsidized childcare per year
Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
Commuter benefit available for public transit or parking

Most importantly, you'll be doing important work with a team of people you'll genuinely enjoy spending the day with.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
PathAI does not accept unsolicited submissions from third-parties.
With the rise of employment phishing scams, especially during the current COVID-19 situation, we ask candidates to be extra vigilant. Be careful about providing any kind of personal information, such as location, age, or financial information to recruiters who may be impersonating PathAI employees. PathAI does not require payment for interviews or for applicants to purchase their own work supplies for reimbursement.

#LI-Remote


Data Scientist Marketing

We are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization. The ideal candidate will have a strong track record of executing analytical projects as well as partnering closely with business peers to guide decision making.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you’ll do at Figma:

Refine attribution logic and create data-backed approaches to measure effectiveness of marketing spend
Design and evaluate conversion lift experiments to optimize campaigns and measure their incremental impact
Perform impact analysis and modeling for a variety of different marketing initiatives and projects
Evaluate and size the projected impact of new marketing strategies and how they connect to broader company goals
Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization

We'd love to hear from you if you have:

2+ years relevant work experience supporting a Marketing or similar function
Fluency in SQL
Proficiency in Python, R, or similar scripting language
Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
Firm knowledge around statistical methods and experiment design
Excellent judgment and problem solving skills
A self-starting mindset along with strong communication and collaboration skills

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team

By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values


Data Science Manager

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

Your Role:

TrueAccord is looking for a Data Science Manager to head its growing data science team.

You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance.

We’re looking for a driven, hands-on data science manager to lead, mentor and manage contributors on the team. You should have an excellent grasp of core machine learning techniques, possess a product-focused mindset, and a track record of growing and empowering data scientists to drive business value through modeling and experimentation.

You will work cross-functionally with Product Management, Engineering, and the business at large to identify trends and drive opportunities. Importantly, you will help to strike the optimal balance between research into new areas and practical application of those insights.

What You'll Do:

Build and lead the data science team to deliver world-class products
Lead the technical strategy of the data science team
Drive for shared context and understanding with the business
Oversee modeling efforts, from providing code reviews to launch support
Drive for impact and accountability
Grow the team’s capabilities through education and tooling
Roll up your sleeves to code, build and integrate models as needed

You have:

Previous experience as a manager of data scientists and ML engineers
Strong sense of partnership with business leadership
Drive to educate both scientists and the business to achieve goals in common
Experienced at building, productizing and iterating models
Advanced degree in quantitative studies or computer science
Strong foundational skills in Python, pandas and SQL

Ideally, you also have:

Solid understanding of experiment design
Experience with natural language processing techniques
FinTech background

Benefits, Perks, and Culture

- Everything you need to work remotely
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, remote positions
- Unlimited PTO
- Transportation benefits
- Employee assistance program (EAP) + Wellness Coach for you and 5 others
- Paid time off to do volunteer work in your community!

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Senior Data Scientist

At Medium, words matter. We are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers.

We are looking for a Senior Data Scientist who will help us build a new future for the written word on the web as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product.
We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet.

You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features.

You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content.

Day to day, you will:

Be a strategic partner to a diverse range of stakeholders in editorial, engineering, marketing, and product management, generating data-driven insights to influence the direction of our product roadmap and critical operating decisions.
Partner with the organization to define our goals and the portfolio of metrics to measure performance against
Identify the level and cadence of information needed to operate key business areas and build dashboards and reports to drive decisions.
Leverage a range of sophisticated ML techniques to uncover deeper insights about our users and content
Design and analyze experiments to answer key business questions.
Build data pipelines and models that enable incisive analyses and performant data visualizations
Provide mentorship and guidance to team members, identify and recommend best practices, and help level up overall team capabilities
Be a champion for Data Science and evidence-based decision-making throughout the organization, educating and advocating for its use.

Requirements:

6+ years of experience doing quantitative analysis and ML at a consumer-facing technology company
Experience with stakeholder management; effectively driving shared priorities and persuading through storytelling with data
Strong Python skills at running data analytics using Pandas, Jupyter Notebook, and the Python ecosystem
Experience writing and optimizing complex SQL queries on large data sets
Experience with data pipeline, from data preparation to analysis to deployment
Strong in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
Skilled in building machine learning models, including classification models, natural language processing, and training models on large data sets
Experience manipulating large data sets through SQL, Python

Skills & Experience that is "Nice to Have" includes:

Experience leading others in a data/analytics function
Experience developing in Looker
Natural Language Processing (NLP) with large data sets
Experience in big data technologies like Spark
Experience with production model deployment in cloud environments like AWS
Management consulting or similar internal strategy experience

At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.

Interested? We'd love to hear from you.


Data Scientist Tx Adobe Auto

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. Responsible for Customer acquisition via digital channels experience. Responsible for Personalization outreach to customers 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 3+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Experience with Adobe Auto Target Software or similar software like Adobe Sensei, Adobe Analytics, Adobe Marketo Engage, AB Tasty, Google Optimize, Oracle Maxymiser, VWO Testing Ability to implement ML best practices for the entire Data Science lifecycle 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 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.


Data Scientist

Job Description:

We have a new Data Science team seeking an experienced and hands-on Data Scientist to join us. You’ll leverage your extraordinary analytical and technical skills in this role. You’ll also support the team’s effort around managing the project lifecycle from data exploration to modeling and analysis through model selection, validation, evaluation, and deployment.

You will be joining a team of especially smart, funny, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Associate Director of Data Science.

As our Data Scientist, you will help deliver analysis and predictive model with a large data set relevant to the health care system in the United States. Additionally, you’ll provide near real-time business intelligence tools and build data products for internal consumption.

What You'll Do:

Leverage Phreesia’s massive and ever-growing dataset to build data products that provide actionable business insights
Optimize targeted engagement strategies through modeling, forecasting, and evaluation
Develop methods to efficiently classify and characterize patient populations
Navigate and use diverse machine learning stacks in Python and R

Use NLP techniques to parse, process, and structure textual data
Quickly prototype ideas and solve complex problems by adopting creative approaches
Take ownership of data products, ensure they are properly tracked throughout their lifecycle and build customized dashboards for internal and external clients

What You'll Bring:

MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
2+ years of experience in an operational Data Science role and Strong SQL Skills
Professional command of Data Science and Machine Learning toolsets such as Python (Numpy, Scipy, Pandas, Scikit-learn), R (dplyr, tidyverse, ggplot).

Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing)
Excellent interpersonal and communication skills, both written and verbal
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Experience contributing professional-level code using version control

Who We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:

100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Unlimited PTO + 8 company holidays
Monthly allowance for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement

We strive to provide a diverse and inclusive environment and are an equal opportunity employer.


Data Scientist

POSITION:
We’re looking for energetic, collaborative, and entrepreneurial data scientists, with a proven track record of developing innovative data solutions and machine learning models. As a data scientist, you will tackle and solve some challenging problems to enhance user experiences in the Predictive Index platform. You will take a leading role in design, code, quality, and release planning for new features within your scrum team, as you redesign the platform powering Talent Optimization.  We are implementing new features in a service-oriented architecture. We have ambitious goals and encourage engineers to think boldly with colleagues, as well as partners on the Product team. We work in a fast-moving environment and provide the autonomy to innovate in your areas of expertise.
YOUR DAY-TO-DAY:

Primary technologies include Azure Machine Learning, NLP, Python, Databricks,  .NET backend and API layer with Angular and Node.js frontend, hosted in Azure Cloud
Research and build practical machine learning algorithms
Develop application software, databases, and APIs in Azure
Support development, launch, and rollout of new features to over 7,000 clients
Partner closely with Product and other teams to anticipate user needs
Lead design sessions about problem solving, application architecture and database design
Create and drive process improvement to increase team velocity
Drive best-in-class site performance

SHOULD YOU APPLY?
If you’ve got all the below skills, drop what you’re doing right now and reach out. If you’ve got some of these skills, we still want to hear from you

Strong background in Computer Science, Data Science, or related fields
Strong track record in data engineering and developing NLP, machine learning models or recommendation systems (3+ years experience)
Highly proficient in the Microsoft Stack or similar technologies
Experience with some or all of the following:
MLOps processes
Cloud hosted applications in Azure and AWS
Agile development processes
Continuous Integration and deployment with automated testing
Database design using relational, document, and graph databases
Architectural design for highly scalable applications
Fluency with a wide variety of languages – we love to experiment in production and we’re interested in which technologies excite you.
Entrepreneurial spirit – we expect all our engineers to provide leadership at every level and to push to improve everyday.


Data Scientist

Data Scientist

JustWatch offers data-driven movie marketing for the film industry. Based on user data from justwatch.com and our apps - now the largest streaming guide worldwide - we run data-driven digital marketing campaigns for Hollywood’s latest blockbusters, most popular shows as well as independent movies. We are also building a new proxy that measures movies and tv show success: we are seeking to create a new industry standard combining modern methods of measurement and machine learning.

Who we are looking for

We are looking for someone that shares our passion for movies and tv shows, with a result-driven mindset, that is able to effectively communicate complex topics to non-technical audiences, and with extensive knowledge in the field of predictive analytics.

We love challenging goals. We question everything. We are always learning, and we are excellent in execution. We believe in the 80/20 rule and try to apply common sense and pragmatism to everything.

Here's what you will do

Develop and iterate a model that uses extensive survey data to predict how many streamers will actually watch the movie or show in the end
Help develop an extensive benchmarking system for our surveys that spans multiple platforms and employ statistical methods to gain insights from survey results
Make sure we gather the right data points needed to achieve this and assist our survey team to improve their process
Develop reports with visualization, summarize findings, and communicate with the stakeholders

What you will need

Passion for movies and tv shows and eagerness to build a predictive model to forecast the performance of movies & tv shows on streaming services
Solid knowledge of statistics e.g. population vs sample, credible interval vs confidence interval, bootstrapping, hypothesis testing
Hands-on experience with data modeling/prediction techniques and tools:

Techniques: unsupervised and supervised Machine Learning, including clustering methods, predictive models, outlier detection, sentiment analysis, and recommender systems

Languages: Python

ML and Visualisation: sklearn, XGboost, pandas, AUTOML, Plotly, Altair, Seaborn

Model Explainability: SHAP, Explainerdashboard,  EVALM
Interest in gathering insights from historical data and passion for predicting the future from this data in general
Ability to apply data cleaning, feature engineering, statistics, machine learning, and common sense to predict future behavior
Readiness and curiosity to learn new tools and methods
Team player mindset. You enjoy working with talented and inspiring people.
Ability to cope with imperfect data sets
Excellent English communication skills, with the ability to synthesize, simplify and explain complex topics to different types of audiences

If you feel like you are missing some of the hard skills – don’t worry, we are hiring for the attitude, values, and personality.

We embrace our entrepreneurial responsibilities. Through our 6-figure environmental and social impact budget, we offset every employee’s carbon footprint, give back to the community, support causes that matter, and have recently implemented a wellbeing and mental health programme.

Read more about our culture in our blog post and Talent page:https://www.justwatch.com/de/Talent

How to apply:

Show your interest in any way that works for you, we simplified the application process -  send us whatever you have or just your Linkedin and a message explaining why you are a great fit for this role. We won’t look at one-click applications.

 If you have any questions, please reach out to our talent team via LinkedIn or apply to this role directly through this listing.

JustWatch takes diversity and equal opportunity in a serious way. Our goal is to build a team that represents a variety of backgrounds, perspectives, and skills. We commit to being inclusive.


Data Scientist

At Teachable we empower creators to transform their knowledge into income.  To accomplish this, our products enable individuals and small businesses to create, host and sell online courses and coaching.  Teachable Creators have tens of thousands of active creators who’ve reached more than 45 million students around the world, teaching a diverse array of topics,  ranging from crafting to card tricks to coding. Fifty million people worldwide consider themselves to be creators. More than two million people earn enough from their passion projects to consider it their full-time income. The rise of the creator economy means more people than ever want to share what they know and monetize it. Teachable is poised to offer best-in-class solutions to this ever-growing market.

In 2020, Teachable was acquired by Hotmart Company, a global leader in the Creator Economy with a shared mission of empowering creators to live out their passions. With offices in eight countries and more than 35 million users worldwide, Hotmart’s partnership ensures our creators—current and future—have access to best-in-class technology tools, so they can scale their online businesses with ease and truly make an impact on their students’ lives.

We’re looking for an experienced Data Scientist to work alongside our Product team in collaborating on our product roadmap and design in order to empower creators to transform their knowledge into income.

Primarily a Python shop, our team uses Apache Airflow for ETL, a rest endpoint, and Kafka for collecting events, and we deploy in Kubernetes. The data warehouse is Amazon Redshift with federated Postgres tables, and we have plenty of data in s3 in a variety of formats. This role has a major impact on the entire organization, as the Data Scientist is the primary owner of key pieces of infrastructure and is expected to make recommendations about what technologies we should be employing in the data platform and what patterns we should be following in data engineering.

This role will report to the Senior Business Intelligence Manager.

What you’ll do

Collaborate with engineering and product development teams
Apply advanced statistical and predictive modeling techniques to data related to the optimization of checkout and user experiences
Make recommendations on focus areas in the product to improve the customer journey
Collect and clean data from various sources and translate into strategic insights and actionable product recommendations
Build, improve and maintain data-driven projects to help build critical solutions to difficult problems

What We’re Looking For

2+ years of experience as a Data Scientist
Expert level of knowledge of Python or R
Experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
Experience preparing and cleaning data autonomously
Ability to translate business needs and requirements into technical solutions
Solid analytical and problem-solving skills
Who upholds Teachable values, including working as part of a diverse team

Additional Details:

This role is open to remote candidates in the U.S.
Applicants must be currently authorized to work in the United States on a full-time basis.
For this role, the base salary range is $125,000 - $140,000. Total compensation also includes a competitive benefits package and Restricted Stock Units (RSUs). A salary offer will be determined by a number of factors including experience, skill level, education, internal pay equity, and other relevant business considerations. We review all teammate pay and compensation programs regularly to ensure competitive and fair pay.

At Teachable, we are committed to providing fair and competitive pay (using market data to inform our pay bands), rewarding high performance, and ensuring all employees have the opportunity and ability to impact Teachable’s overall company value. Base salaries will be reviewed at regular intervals throughout the year, typically following performance review cycles currently conducted bi-annually or in conjunction with a promotion.

While Teachable maintains our NY office for local employees to use, we operate as a remote-first culture in order to give our employees added flexibility. In order to maintain connection and create a community beyond the screen, Teachable holds company-wide, in-person events 2-3 times per year, where employees and teams can come together for team bonding, strategic alignment, goal-setting, and celebrations!

Benefits:
Comprehensive Health, Dental, & Vision benefits with an option covering up to 100% of monthly premiums Generous Vacation, Personal, and Sick Time
Parental leave, 16 weeks fully paid after three months of service
4% 401(k) with match after three months of service
Supplemental student loan repayment assistance or a professional education stipend
Tax-free commuter benefit
Gym/Wellness reimbursement up to $100 in pre-tax dollars per month
One-time $500 Work from Home (WFH) purchase card for new hires and ongoing WFH monthly reimbursement for certain home expenses of up to $100 per month
Headspace subscription
$250 Donation Match Program

Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.


Director Data Science And Analytics

ABOUT THE ROLE AND OUR TEAM
TKWW is looking for a Director of Data Science & Analytics to build statistical models, reports, and analytical tools that will increase our operational efficiency and drive incremental revenue. A key focus of this role will be on monetization and pricing of our marketplace, but the role also encompasses supporting a variety of business stakeholders, including Sales, Operations, Finance, and certain product lines internationally and in the US. This is a highly technical position where data science, statistics, and machine learning play a major role, but knowledge of analytics and data engineering are also required. The Director will report to the Head of Data and will be responsible for growing and setting the strategy and vision for their team.

RESPONSIBILITIES

Manage, grow, and mentor a global team of data scientists and analysts.
Inform our pricing strategy and develop algorithmic methods to optimize product pricing across different countries, markets, and categories.
Build statistical and machine learning models to solve core business problems, such as pricing optimization, elasticity modeling, customer churn, lead scoring, lifetime value, and recommender systems.
Build a reporting stack tailored to the stakeholder needs, including high-level executive reports and domain-specific operational reports.
Lead vendor segmentation efforts to generate insights that can inform our sales and acquisition strategy.
Improve upon existing methodologies for measuring marketplace performance in a subscription-based plan scenario.
Explore and experiment with alternative auction-based monetization plans, including pay-per-lead and pay-per-booking approaches.
Think holistically about the data needs of the organization across data science & analytics, business intelligence, machine learning, and data engineering.
Design and conduct A/B testing experiments and advocate for an iterative learning culture.
Develop tools and data products that automate manual work, increase operational efficiency, and empower users via self-service.

SUCCESSFUL CANDIDATES HAVE

Experience with implementing pricing optimization and elasticity models with demonstrable business impact.
Advanced degree in statistics, data science, operations research, engineering, or computer science (PhD highly desired).
Excellent communicator with ability to translate technical concepts to non-technical audiences.
Strong SQL and Python programming skills.
Strong knowledge of applied statistics and machine learning.
Experience working at a two-sided marketplace or eCommerce company.
High-level understanding of data architecture, data pipelines, and database design.
Knowledge of visualization and proficiency in at least one visualization tool.
4 years of data science leadership.
Strong track record of influencing the organization and driving tangible business impact.

#LI-XM1 #LI-Remote


Data Scientist Marketing

ABOUT THE ROLE AND OUR TEAM:
The Knot Worldwide is in search of a talented and driven Marketing Data Scientist to join our brand new Marketing Science team. The Knot is making significant investments in Marketing across the board and is looking to bring in top talent who can leverage scientific principles and advanced analytics to solve critical business problems, such as media mix modeling, multi-touch attribution, and customer lifetime value. As a Marketing Data Scientist, you’ll be part of the broader Data organization within The Knot and will spend most of your time building statistical and machine learning models, in addition to designing and analyzing experiments to measure the impact of your work.
RESPONSIBILITIES:

Create solutions to drive marketing decision making and automation, including Media Mix and Multi-touch Attribution Models
Develop methodologies for measuring marketing performance across different parts of customer journeys and make recommendations for next best marketing actions at the user- or segment-level to drive Lifetime Value
Answer strategic marketing questions by analyzing behavioral data
Partner with business stakeholders to drive experimentation in practice
Communicate, collaborate, and present results to marketing stakeholders within The Knot Worldwide
Explore novel ways to look at our data

SUCCESSFUL DATA SCIENTIST CANDIDATES HAVE:

Master's Degree or Ph.D. preferred
Experience building MMM, MTA, or LTV models
Strong knowledge of marketing concepts
Proficiency in key statistical and machine learning techniques (predictive modeling, classification, clustering, text analytics, recommender systems, data mining methods, forecasting, and other advanced techniques)
Proficiency with R or Python
Familiarity with common Linux command line tasks and version control software like git or svn preferable
Ability to communicate effectively and influence others
Ability to work in a fast paced environment and shift gears quickly

#LI-KS1 #LI-Remote


Senior Data Scientist

ezCater is the most trusted provider of corporate food solutions – a $300+ billion market in the US alone. ezCater is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille, and had an up-round in December of 2021 when we were valued at $1.6 billion.

ezCater values technology, and particularly data, as a differentiator and a key component of our success. It powers everything we do. We push ourselves every day to better the codebase, improve performance, and deliver an amazing customer experience. Check out this CBS Boston article for a glimpse into our culture.

As a data-driven company pursuing an IPO we’re looking for an experienced Data Scientist, reporting directly to the Chief Data Officer (CDO), to be primarily responsible for leading the development and application of Data Science models across our business.

This Principal Data Scientist position will spearhead modeling efforts across our business everything from experimentation methodologies to predictive and causal impact models to accelerate our growth engine.  The Principal Data Scientist will be responsible for selecting the appropriate approach, designing and evaluating methodologies and guiding analysts in applying Data Science to our business.  Our ideal candidate will have proven, hands-on experience implementing a range of Data Science methods in a business setting, who is enthusiastic about working across our growing team of Analysts in coaching and establishing best practices in applying sophisticated models.

What you'll do:

Be the thought leader for elucidating and demonstrating the business opportunities that can be solved with applying advanced Data Science models to ezCater’s business. Coach and mentor a advanced analysts in applying models.
Lead the design and implementation of advanced statistical and Data Science models across ezCater’s growing business.
Select the most appropriate modeling approach, design models and evaluate effectiveness.
Establish foundational Data Science methodologies and frameworks (e.g., casual inference models, random forrest,  etc) for Analysts across the company to use with oversight.
Set the technical direction and standards for coding and designing models across ezCater’s business.
Collaborate with analysts embedded in business teams in applying vetted methodologies, quality checking output to ensure high standards. Work directly wit business to understand challenges, guide approaches and explain results.

What you'll have:

5+ years of experience in a quantitative or technical work environment with advanced degree (Masters or Phd) in a quantitative field
Experience designing and applying Data Science and/or ML methodologies in a business setting  (such as Bayesian Optimal Experimental Design, Casual inference models. Random Forests  etc.)
High comfort level with R or Python (prefered)
Proven track record of collaborating with Analysts and business leaders in explaining methodologies and vetting applications for performance, accuracy and quality.
A disposition that is friendly, flexible and pragmatic, and the desire to learn something new every day and continue to grow.

The national cash compensation range for this role is $127,000 - $208,000*  per year.

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

ezCater does not sponsor applicants for work visas or legal permanent residence.

What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.

Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.

Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.

ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.

For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.

#LI-Remote
#BI-Remote


Senior Applied Scientist Nlp

Who We Are

Kensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (Named Entity Disambiguation), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us build and deploy state-of-the-art models across a variety of domains!

At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/DC/MA) will be required for team meetings or company events.

About The Role

Kensho is seeking a Senior Machine Learning Scientist to join our NLP Team, a product and research organization applying and extending the state of the art of textual and document-based AI across a variety of domains. The ideal candidate has deep industry or research experience and is a recognized expert in one or more core NLP fields, for example:

- Named entity recognition (NER)
- Entity linking and coreference resolution
- Extreme multiclass text classification
- Open-domain question answering
- Relationship and fact extraction
- Summarization

What You’ll Do

Develop novel NLP algorithms and models using state-of-the-art techniques like deep learning and knowledge base-augmented ML
Move the needle on unsolved problems in cross-domain NLP by conducting original research into replicating and augmenting human expert behavior with machine intelligence
Write production-ready modeling code that can be scaled out to billions of documents and millions of users
Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code
Collaborate with senior product and engineering leaders to identify the most promising problems to go after
Share your results with your colleagues (presentations), senior executives (board meetings), and the world (published papers, patents, and blog posts)
Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!

Who You Are

Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you.

That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:

You hold a degree in Computer Science, Applied Math, or a similar field
You have experience designing, executing and evaluating ML experiments with real-world applications
You have mastery of the techniques required to work effectively with real-world data and have developed a successful track record training ML models on large, messy datasets
You have a deep understanding of what makes for well engineered software systems and understand that even superlative ML coupled with poor code will not go far
You prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently
You have a love for learning new skills and domains and share your knowledge freely, proactively, and effectively with others who are interested
You are a generous and fun teammate and can take your work seriously without taking yourself too seriously

Technologies We Love

ML: Pytorch, Hugging Face, Weights & Biases

Deployment: Airflow, Docker, AWS

Datastores: Postgres, Elasticsearch, S3

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance
-       100% company paid premiums
-       Unlimited Paid Time Off
-       26 weeks of 100% paid Parental Leave (paternity and maternity)
-       401(k) plan with 6% employer matching
-       Generous company matching on donations to non-profit charities
-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
-       Plentiful snacks, drinks, and regularly catered lunches
-       Dog-friendly office (CAM office)
-       In-office gyms and showers (CAM, DC)
-       Bike sharing program memberships
-       Compassion leave and elder care leave
-       Mentoring and additional learning opportunities
-       Opportunity to expand professional network and participate in conferences and events

About Kensho
Kensho uses machine learning, artificial intelligence, natural language processing and data visualization techniques to solve some of the hardest analytical problems and create breakthrough financial intelligence solutions for our parent company, S&P Global.

Kensho was founded in 2013 by Harvard & MIT alums and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.


Sr Manager Data Science External Data Intelligence

Overview
Locations: VA - McLean, United States of America, McLean, VirginiaSr. Manager, Data Science -  External Data Intelligence (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The External Data Intelligence Team centrally manages R&D, feature exploration and development, vendor engagements, and analytical and product support for a variety of  key external data sources used across multiple Card decisioning and analytic use cases. The team aims to drive value generation from new data and new features, and to deliver exceedingly well-managed data products to modeling and business teams.
Role Description:
You will lead the Bureau Data Intelligence function of the External Data Intelligence team, delivering a great customer experience for users of credit bureau data, maintaining subject matter expertise on this centralized data source, and creating high value credit features for use in predictive modeling in underwriting and other customer decisioning. The team keeps abreast of new developments in the industry and engages with multiple vendors, business teams, and modeling teams. Fast-paced and customer-oriented, the team continuously drives new value and sets the standard for centrally managed predictive features in the Capital One Card business.
This role will require a hybrid skill set of strong analytical skills that enables effective insight extraction from complex data, strong interest and curiosity in credit data and the credit data ecosystem, deep familiarity with modeling and credit underwriting, and a product-oriented mindset to build and maintain collaborative relationships with internal partners, and the ability to become a subject matter expert in the credit data industry in order to better support our large internal user base.
In this role, you will:
Partner with a cross-functional team of data scientists, analysts, engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of dataBuild data engineering solutions through all phases of development, from design through development, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Bachelor’s Degree plus 7 years of experience in data analytics, or Master’s Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analyticsAt least 3 years’ experience in open source programming languages for large scale data analysisAt least 3 years’ experience with machine learningAt least 3 years’ experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience managing peopleAt least 5 years’ experience in Python, Scala, or R for large scale data analysisAt least 5 years’ experience with machine learning
Capital One is open to hiring a Remote Employee for this opportunity.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Location is New York City- $222,589 and $262,605 for Sr Mgr, Data ScienceLocation is Colorado- $188,636 and $222,548 for Sr Mgr, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Director Of Data Science And Engineering Rv Travel

In this role, you will have the opportunity to have a major impact on the value created from our AI product suite, data pipelines and analytics capabilities. You will be responsible for overseeing the team that owns data best practices and data science throughout Travel, having direct ownership of the strategy that we execute to meaningfully impact revenue across our Travel businesses. You will also play a key role in driving adoption of these tools across the industry group, working closely with other leaders to consult and showcase how to apply these tools to maximize effect. We’re looking for someone who has strong analytical/ML skills and a keen sense of how to apply these to solve business problems.
This role will provide visibility and access to senior-level leadership as you help drive behavior change across our organization. You will work closely with the AI Product’s GM setting strategy and action plans while getting reps pitching those to SLT members for buy-in.
We believe that diverse, inclusive teams are better teams. Think of the bullets below as guidelines: if you only partially meet the qualifications on this posting, we encourage you to apply anyway!
What You'll Do:

Set and execute the strategy of the Travel data team
Be responsible for product integration and value creation of our machine learning-driven products in key BUs to showcase revenue opportunities
Work with your team to Ideate, opportunity size, and pitch wholistic AI Products opportunities to get senior leadership buy-in
Oversee multiple on-going work streams and experiments – allocating your time effectively to ensure highest priority work is accomplished
Train your team to build and launch templated data components to enhance likelihood of success for an implementation – this may come in the form of visualizations, notebooks, and/or algorithms
Actively involved in product roadmapping and/or feature prioritization to provide perspective and expertise on sophisticated ways to leverage our data
Own data pipelines for Travel BUs
Oversee daily operations of the data team across Travel
Own implementation of advanced data practices across Travel

What We're Looking For:

7+ years of experience blending product expertise and machine learning practitioner background.
Demonstrated experience developing and delivering high business value strategic initiatives
Demonstrated ability to lead high-performing, analytical teams
Demonstrated ability to drive business decisions and behavior changes through analytical capabilities
Strong knowledge of machine learning, statistical modeling and optimization, with experience working directly or indirectly on a specific business-application in this field
Analytical skill-set with a data-centric approach to problem solving. You take in information and prioritize effectively to maximize lasting impact
Entrepreneurial mindset with strong business acumen and capability of innovating and executing solutions to create value for consumers
A results-oriented thinker who enjoys figuring out new problems and are regularly showing results with a positive attitude
You thrive in ambiguity. You can ingest various data points and feedback to form a new playbook and framework in situations where there isn’t a perfect solution
Bring a roll-up-your-sleeves attitude and develop a deep understanding of how our editorial, SEO, and marketing functions operate to ensure alignment with your product roadmap and their needs/opportunity areas.
Blend a deep understanding of state-of-the-art AI methods (large language models, deep learning, reinforcement learning) with deep business context to set a technical product roadmap.
Present ML product roadmap and vision to key business executives to gain alignment around core milestones and resourcing.

Compensation

Cash Compensation Range: $145,000 - $260,000* *Note actual salary is based on geographic location, qualifications, and experience.

Enrollment in Red Ventures Long Term Incentive Plan (Equity)

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

Who We Are:
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com.For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
#TPG


Senior Data Scientist Data Science Products Bankrate

We are looking to hire a senior data scientist to join our Data Science Product team in our FinTech industry group. Recently formed, we are charged with building AI-powered solutions that will change how our teammates operate and how our brands go to market. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, software engineers, designers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do:

Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.

What We're Looking For:

4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:

text and video content generation - using natural language processing and generation, deep learning, computer vision and explainable supervised learning.

website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.

marketplace optimization - using forecasting, multi-level modeling, linear programming, and other constraint-based optimization approaches.
Candidates with specific expertise in any of these areas will be highly preferred.

Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.

Who We Are:
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
#li-cm1


Senior Data Scientist Bankrate

Red Ventures’ Financial Services industry group is looking for a senior data scientist to join our team. As a member of our team, you’ll be empowered to develop data science solutions from ideation all the way to putting your solution into production and seeing the real impact it has on our business. Our solutions aim to improve the financial journeys of the users who interact with our websites and digital products. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do:

Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.

What We're Looking For:

4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.

Who We Are:
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
Compensation: Cash Compensation Range: $100,000 - $185,000* *Note actual salary is based on geographic location, qualifications, and experience.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

#li-cm1
#BR