Data Scientist

About the RoleAt Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice.  Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
Responsibilities:

Compile, clean, manage, analyze, and visualize large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
Innovate and help engineer data pipelines and infrastructure to enable product development and educational research
Apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
Imagine and help implement data-driven products that aid educators to better support students
Collaborate closely with other data scientists, researchers, engineers, designers, and product managers
Concisely summarize extant scholarship and best practices to make that knowledge usable for other team members
Work with colleagues and company leadership to develop our data science strategy, priorities, and practices

Our Ideal Candidate Has:

Has 3+ years of experience as a Data Scientist
Have demonstrable expertise in using data and analytics to reveal insights and improve decision-making
Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Have broad expertise in traditional and modern statistical methods including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, and causal inference
Are fluent in one or more relevant programming languages (e.g., Python, R), data manipulation tools within programming language(s) (e.g., Pandas, dplyr) and RDBMSs (e.g, PostgreSQL)
Can program scripts (e.g., for data cleaning) not available in existing packages
Are a team player who thrives in a collaborative, small-team environment
Have formal education or training in data engineering, data science, or statistics
Have prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Bonus: Prior experience working with K-12 educational data or at an ed tech company


Data Scientist Experimentation

About the Team
The Experimentation and Inference Frameworks team leverages expert experimental design, statistical modeling, and causal inference to help Stitch Fix rigorously evaluate our actions and technology. Our team develops tools and frameworks to address complex experimental designs and observational analyses.  We work closely with cross-functional partners both on the business side and within the Algorithms team to identify opportunities to improve and scale experimentation.
About the Role
In this role you will have the chance to build experimentation and inferential frameworks and drive research into human-in-the-loop behavior through experimental design, implementation, and analysis to drive strategic business decisions. You will have autonomy to help shape the direction of experimentation and inference at Stitch Fix through your ideas to improve what we do and how we do it.
You’re excited about this opportunity because you will get the chance to…

Identify, develop, and evangelize tooling, approaches, and data products that raise the bar of validity in experiment design and analyses across the company
Frame slippery business problems and innovate a path forward
Research and implement statistical approaches to solve unique business challenges
Collaborate with multiple teams and functions to deliver deep-dive analyses and experiment design for new initiatives and high-priority business areas
Develop and iterate on our processes to empower more efficient and rigorous experimentation

We’re excited about you because…

You have an advanced degree in a quantitative field with an emphasis on experimentation and/or inferential statistics
You have 3+ years of work experience in data science
You have experience designing/conducting experiments in an industry setting
You have experience partnering cross-functionally and enjoy gathering input from stakeholders
You are a proactive communicator who helps simplify and move complex problems forward
You have experience coding at a production level in Python or R
You are innovative and inspired to take on new challenges and you do not shy away from potential failure

Why You’ll Love Working at Stitch Fix

We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day

About Stitch Fix
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy


Manager Of Analytics And Data Science

Who We Are

At Statespace we’re using cognitive science, artificial intelligence, and video games to revolutionize the way that humans improve.

Our first product, Aim Lab, is a personalized training platform that helps gamers learn about their strengths and weaknesses and train for the game they love. Aim Lab has over 20 million players around the world and is available for free on Steam and even on Roblox. Aim Lab also has official partnerships with some of the biggest publishers, including Riot, and Ubisoft.

Our team consists of scientists, designers, engineers, and game industry vets coming together from places like NYU, MTV, NASA, Yale, Nintendo, and the NFL. We are well-funded and supported by some of the world’s best investors and entrepreneurs, including Khosla Ventures, FirstMark Capital, Lux Capital, Expa Capital, and WndrCo.

Our Culture

Weird. Non-traditional background. Underdog. Outcast. If people have used any of these words or phrases to describe you...welcome home. Kick-ass engineer or designer without a degree? Come join our team.

We hire talented, self-motivated people and get out of their way. We are based in NYC but have a remote work culture and are looking for exceptional people to join our team regardless of their physical location.

We value performance, not hours worked (or when you work them). We believe you shouldn’t have to miss your kid’s play or doctor’s appointment for the sake of adhering to an arbitrary work schedule.

However, if you are looking for a job where you are happy to just collect a nice paycheck and/or nap under your desk like George Costanza, we are not the right fit for you (we don’t even have desks).

The work we do is hard, and therefore, a key company goal is to mitigate needless obstacles that prevent our team members from accomplishing their goals. To that end, our vacation policy is “take it whenever you want to”, our PTO policy is “take it whenever you need to”. We offer very generous medical, dental, vision, and retirement plans.

Manager of Analytics and Data Science

We're looking for a smart, self-directed Manager of Analytics and Data Science who is comfortable bringing new ideas to the table and can stay calm under the uncertainty of building something totally new. We're always balancing our efforts between young and mature projects, so you'll get along great with us if you aren't afraid to iterate quickly on fresh ideas, but also take pride in running a stable ship.

Key Responsibilities

Serve as a strategic partner to various business units with emphasis on 3rd party data partnerships and integrations
Participate in buildout and maintenance of data ETL
Analysis and deliverables resulting in production output such as: player skill metrics, win expectancy, wins above replacement
Ownership of all 3rd party data integrations and transformations

Ideal Skills

Must be passionate and actively engaged in gaming/video gaming/esports culture
6-10+ years of experience in data analytics/data science role
High level proficiency of SQL
Experience performing data analysis and statistical modeling using the R or Python
Ability to created scalable, accurate, and appropriate models based on complex business problems and data sets
Comfortable presenting analytical findings resulting in recommendations for change
Can collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
Self-motivated, thrives in environments of ambiguity, experience initiating and driving projects with minimal oversight and guidance
Experience developing ETL pipelines leveraging SQL and Python

We believe in hiring the best, the brightest, and cultivating a culture of collaboration and appreciation. You will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, religion, sex, sexual orientation, gender identity, national origin, marital status, citizen status, age, disability, military or protected veteran status, genetic predisposition or carrier status or any other legally protected status.

This job may be performed remotely from anywhere in the United states, except that this job may not be filled or performed in Colorado.


Staff Data Scientist Ecosystem Analytics

The mission of our newly formed Ecosystem team is to support Reddit’s strategy through the independent evaluation of new initiatives & by being the source of truth of company-level product performance metrics. We are looking for a Staff Data Scientist who would like to join our organization and help build our Ecosystem vertical. If you would like to join a thriving new area that is driving the conversation on the most strategic decisions Reddit will take at the executive level over the next months and years, we have a role for you!
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
You will be the eyes and brain behind getting a foundational understanding of how Reddit works, and the expected impact of various different strategic initiatives. You will steer Reddit’s strategy and guide the company’s investment so we can fulfill our mission of bringing a sense of community and belonging to everybody in the world.
What You’ll Learn:

You will be exposed to the ins and outs of everything that is happening at Reddit, and as a result will learn about every single strategic area that is being created
You will work directly with senior leadership and every Data Science team embedded across the organization

What You’ll Do:

Lead the definition and reporting of Reddit’s core product metrics across all levels of leadership, including Reddit executives
Create and evangelize the analytical frameworks, metrics strategy and data models to evaluate product/company performance and guide strategic decisions
Leverage your experience in causal inference and analytics to understand the impact of various products, features and launches on Reddit’s core business metrics
Collaborate with your peers across Data Science and Data Platform to guide an overarching data strategy for Reddit, including a plan for robust data validation and data quality
Establish yourself as a leader and mentor within the broader Data organization

Who You Might Be:

8+ years of experience (6+ years of experience with an advanced quantitative degree) in Data Science or Analytics function in a tech consumer company
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Familiarity with causal inference techniques and experimentation
Experience writing ETLs
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience with product metrics across different areas, including new metrics definition
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Experience working with senior cross-functional stakeholders (VP, C-level)
Bonus Points: Experience working with Finance and/or Corporate Strategy teams


Data Scientist Analytics Ads Measurement

We are looking for a Data Scientist to work within the Ads Data team and support Marketing Sciences initiatives. You will work closely with engineers and product owners from our Ads and Marketing teams to build measurement solutions for advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases.
Test out various statistical approaches to deal with data insufficiency and under-powered tests.
Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.

What We Can Expect From You:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science)
Proficiency in Statistics
Proficiency with Python programming languages
Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
Experience with dashboarding tools and data visualization
Experience with workflow scheduling (such as Airflow) and data pipelining
Familiarity with experimentation and causal inference analyses
Master’s degree preferred but not required
2+ years of experience in analytics roles, preferably in the Ads domain


Data Science Manager Growth

We are looking for a Data Science Manager to lead the User Growth analytics team. You will partner closely with cross functional team leaders such as Product, Engineering, Design, UXR and other leaders in utilizing data to drive decision making.  In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our User Growth strategy in a data driven manner.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
The Growth team oversees onboarding efforts for new users, push notifications and emails for new and existing users, as well as top of funnel efforts such as SEO. You will manage a team of high-performing, highly motivated data scientists to unlock user growth for the company.
As a data science leader, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Your work will not only impact millions of users and thousands of advertisers but also act as a data foundation for our rapidly growing business.
What You’ll Learn:

You will closely partner with our Product and Engineering teams to drive user growth for the company. Your team will play a key role in developing user product strategy and experiments. You’ll partner with senior stakeholders to share data insights with the company.
In addition, your team will work side by side with a world-class organization of Engineering, Machine Learning, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Own the vision and roadmap for the Growth Data Science team to focus on high impact levers that inform product decision making
Build and mentor a team of highly motivated, high-performing data scientists and deliver business outcomes
Partner closely with Product and Engineering directors on org processes, learnings, and opportunities to establish a data-driven product lifecycle culture
Lead the team in conducting exploratory analysis for millions of users to understand their lifecycle, retention patterns and how we can serve them better
Lead the team in conducting product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Who You Might Be:

6+ years of experience in data analytics or related quantitative role
2+ years of experience in the tech growth space
2+ years of experience managing a team of 5 or more Data Scientists.
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Good understanding of Machine Learning techniques and platforms.


Manager Data Science

At Udacity, the Data Team is deployed to inform and empower the business with insight, and we use machine learning to help more students have a delightful experience reaching their learning goals. We are looking for a Data Science Manager to help advance that vision as both the leader for our data science group and a practitioner of Machine learning techniques including: Deep Learning, Natural Language Processing, Recommendation Systems, and Computer Vision. You will manage a growing team of data scientists to partner with Product and other business stakeholders to develop predictive models and algorithms to power data products.  You will provide direction & thought leadership to continuously increase the quality & impact of our data science efforts. This is a chance to improve lives and transform talent around the world at Udacity, and your success as part of a world-class analytics organization will be visible up to the highest levels of the company.
Your Responsibilities:

You will report to Udacity’s Head of Data (based in California) as the owner of Udacity’s Data Science function, part of the larger central Data Team consisting also of analytics, data engineering and BI. You will work closely with business leadership to ensure that your team’s work supports business objectives and growth.
The ideal candidate is excited to be a player/coach at this stage of our Data Science team’s growth.

Be a leader.  Form a vision & roadmap for how data science will create value.   Identify priorities and overcome blockers.  Drive quality project delivery, engage with senior business partners and enforce best practices.  Manage, develop and grow a team of high performing data scientists.
Be a productive data scientist.  Explore data, develop models, deploy to production, monitor & measure the impact.  Enhance our ML platform and system designs with the aim of bringing together various open-source and in-house tools to streamline ML workflows.

Influence and execute Udacity’s strategy for an AI-powered personalized talent platform.  Address machine learning problems around recommendation engines, personalization, and other classification/regression problems.
Work cross functionally with other data functions and leadership to contribute to our team and company culture.
Drive ML projects from end to end. Translate a business need into a framework, effectively collaborate with stakeholders, deliver a robust solution and drive measurable impact & adoption.
Identify new opportunities to experiment and build new algorithmic capabilities from the ground up.

What we value:

Bring 6+ years of professional data science or related experience and a team-player attitude.  You have experience with both leading people and collaborating with a global team.
You have advanced programming experience (Python, R, SAS, Matlab). Familiarity with Sagemaker is a plus.
You have advanced database knowledge (SQL, Redshift, Postgres, Presto, AWS).
Experience with machine learning frameworks including scikit-learn, TensorFlow and Pytorch.
Experience deploying machine learning models into production.
You have superior critical thinking skills to develop novel data solutions, and you’re able to both produce immediate value while still keeping an eye on long-term strategy and scalability.
You are an excellent leader, having proven your ability to direct teams and apply best practices of project management, and you have effective communication and influence skills with both technical and business personas.
You take ownership seriously and hold yourself accountable to always deliver in a reliable manner. You thrive at a fast pace and managing multiple work streams.

Preferred Experience:

Experience deploying ETLs with Airflow and/or Spark.
As an inspiring data scientist, you apply business understanding to deliver truly impactful data solutions.
You are a curious self-starter, driven to solve problems and find answers. You take charge and flourish when meeting a challenge.
You are excited to ask questions, push boundaries and follow where data leads in pursuit of new opportunities.
You enjoy working in a highly dynamic environment where your decisions have a significant impact.
Knowledge of Deep Learning, Natural Language Processing, Reinforcement Learning or Self Learning.


Senior Data Scientist

About Us:

Cart.com is an ecommerce software and services company on a mission to democratize ecommerce and give digital merchants the freedom to grow. We are integrating all the pieces of the ecommerce value chain brands need to thrive, creating a truly end-to-end Ecommerce-as-a-Service platform that helps third party brands move faster, grow more quickly, and deliver on their promises more completely.

Job Summary:

The Data Science team at Cart.com is a centralized team that reports directly to the CEO and is responsible for all things data, analytics, and ML/AI of Cart.com. The Data Science department consists of four separate departments. Our team consists of Cloud Architects, Data Engineers, Software Engineers, Data Scientists, Machine Learning Engineers, and Data Viz specialists.

This role sits in the Data Science Solutions department while working cross-functionally with the Marketing as a Service team. Our Data Scientist will be providing service-based data science solutions to our brands and will be integral in turning service-based offerings into product-based solutions with our software & machine learning engineers by your side.

Prior experience with exposure to acquiring users in Direct to Consumer Brands cross-consumer products is a plus. This role will include projects ranging from: (Propensity models, Customer Profiling & Segmentation, Recommendation engine, Clustering, MMM, Incrementally, MTA, A/B Testing and Design, ad hoc advanced analysis, etc.)

Cart's vision and mission are to disrupt longstanding players in the value chain of e-commerce by designing a distributed network of capabilities that are 10x cheaper, 10x more convenient, and 10x better. This Data Scientist is integral to this mission.

Responsibilities:

Expert knowledge & presentation of advanced marketing analytics concepts & hands-on experience applying data science solutions to business problems
Manage data science modeling life cycle, - design, develop, evaluate, deploy, serve, monitor, and maintain
Ability to execute complex analytics projects where client objectives are ambiguous
Discover business problems & areas of opportunities by proactively collaborating with business teams and translate business questions into quantitative analyses that generate revenue for Cart.com
Develop data science products into the Cart.com platform, working with engineers & software developers to automate services into products including but not limited to: Marketing, Pricing and Merchandizing, Site Personalization, Logistics, and Supply Chain
Push the boundaries of what is believed to be possible concerning personal growth and technology to ensure the success of our team and the customers of Cart.com

Experience:

3-5+ years of experience as a Data Scientist in an eCommerce Environment with substantial exposure to working with advertising
Expert working knowledge of advanced data science tools & scripting skills in R or Python. (Clean document in-line code for replicability) with exposure to some flavor of a SQL database
Experience creating useful predictive models: examples of using predictive analysis effectively to solve critical business problems
Exposure and comfort working with core Machine Learning foundational algorithms - specifically including all unsupervised and supervised

OUR CORE VALUES:

These aren’t just buried somewhere in an employee manual. We live and breathe them.  They are on the walls and live in our hearts. They come up constantly in conversations and actions. They govern the decisions of the newest hire all the way up to our CEO:

WE ARE OBSESSED WITH BRANDS
We live for brands and are fanatical about their success.

WE THINK BEYOND THE BOX
We explore new ideas and discover creative solutions. We think openly about how to serve brands and solve problems.

WE DON'T GIVE UP
No one expected this to be easy. We are resilient— we dig in and keep going.

WE SPEAK UP
Every person here has an obligation to question norms, voice concerns, and offer their perspective.

WE WORK TOGETHER
We work with integrity and respect, ask for help, and extend the same help to others.

WE ARE HUMAN
Our people are our biggest strength. We have fun and make real connections with one another and with the brands we serve.

Cart.com is deeply committed to building a diverse and inclusive workplace. We’re proud to be an equal opportunity employer, seeking to identify and onboard people from all walks of life. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

#LI[SD1]


Principal Data Scientist Us

What you’ll do:

Understand Andela’s platform, value proposition, and roadmap by working with stakeholders across the entire organization - from commercial leaders, to business operators, to product and engineering teams.
Take ownership of high-visibility projects across the product and engineering organization to help create innovative solutions for a category-defining platform
This role is founded in research and development, so you’ll be tasked with, and have the opportunity to define, unique phenomena that occur at Andela - and will be responsible for informing and guiding technology solutions to drive efficiencies here at scale
Drive a culture of experimentation-driven product development. A/B testing and variance analysis should be core to your skillset
Own the excitement of entropy! Our platform, products, and offerings are constantly changing and expanding. We encourage and enable each individual at Andela to drive a commercial idea when they identify one, which creates an ever-changing data landscape.

Who you are:

At home in an environment where you are responsible for taking action with stakeholders to drive change!
4+ years experience working in data-driven analytics/predictive analytics/statistical modeling/data mining
Ability to code in Python and write complex, efficient SQL queries to extract data
Experience with A/B testing and ability to run rigorous experiments to come up with scientifically sound recommendations
Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making
Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact

Preferred Qualifications:

Bonus points but not required, having worked on Search ranking, Ad-tech, Supply Chain, Risk or Fraud
Experience building ML models
PhD or MS in computer science, machine learning, statistics, physics
Interesting side projects or Kaggle competition results


Senior Data Scientist

Webflow is a visual web development platform that empowers non-coders to create incredible experiences for the web.
We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. As an early member of our data team, you will also be working to improve our data warehouse by thoughtfully developing clean and reliable data pipelines for lasting impact. We are looking for an empathetic, humble, curious and collaborative team member who is excited to provide meaningful, actionable insight to teams at Webflow while helping to shape our foundational data capabilities.
About the role

Location: San Francisco HQ or remote (US timezone)

Full time

As a Data Scientist you’ll…

Enable our product teams with quantitative analysis to understand how customers engage with Webflow, diving deep into impactful questions alongside key stakeholders and delivering actionable insights

Analyze product and business success metrics, monitoring and surfacing drivers of KPIs (Key Performance Indicators)

Partner with technical and non-technical team members to execute experiments, answer open ended business questions with data, and research levers for improving our product

Develop our data foundation, experimentation and machine learning capabilities, contributing to pipelines and tools that scale to our connected, complete understanding of our customer journey and improve our customer experience. We currently use stitch, dbt, snowflake and Tableau and are working with our new data engineering team to dream big about our infrastructure and feedback loops!

That said, these responsibilities are just the start! At Webflow, we encourage you to contribute wherever your interests take you — and shape your role accordingly.
About you
You’ll thrive as a Senior Data Scientist if you:

Have demonstrated experience working as a Data Scientist (or the equivalent in product analytics), providing high quality, reproducible analysis that impacts decision making

Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting

Have proficiency in SQL, and experience with a programming language like Python or R

Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems

Engage both technical and nontechnical audiences with clear and compelling communication

If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
About us
At Webflow, we believe that what we’re doing doesn’t define our success — so we focus on our “why" and "how". Our MissionTo empower everyone to create for the web — and lead impactful, fulfilling lives while we do it.Our Core Behaviors

Earn customer trust
Get it done, do it right
Practice candor with care
Dream big, ship often

Our commitments to you

We’ll pay you! This is a full-time, salaried position that includes equity
We’ll invest in your physical and mental well-being with health, dental, and vision benefits and a monthly stipend for health and wellness expenses
We’ll pay you to take a vacation … seriously. We’ll give you a $1,000 bonus for taking your first vacation with us that is more than 5 days
We offer flexible parental leave
We provide remote employees with the equipment they need to create a great remote work environment

We will offer you the support you need to help you grow as an impactful Senior Data Scientist and a human being

Ready to apply?
If you share our values and enthusiasm for empowering the world, we’d love to review your application! We promise we do take the time and care to review every application we receive. However, as much as we wish we could interview everyone who submits an application, we cannot guarantee an interview or feedback due to the unprecedented volume of applications we are receiving today. We are rooting for you, and hope you do consider applying.
Please note that a background check and employment verification is required for this position. We may obtain one or more background screening reports about you, solely for employment purposes.


Data Scientist

Data Scientist
Grow Progress is hiring a Data Scientist to be part of a team that is building cutting-edge persuasion technology for social good.

We’re looking for someone who wants to help pioneer a new approach to persuasion: giving our customers the power to persuade more people based on how they think — not just how they look.

If you want to make a big social impact and grow your skill set by building products from the ground up, we hope you’ll apply.
Who We Are
We’ve built powerful software that offers our customers unprecedented access to run scientific message tests quickly and affordably, so they can unlock the most effective messages. This capability powers campaigns, causes, and companies that make the world a better place. We currently work with some of the biggest Democratic pollsters, marketing agencies, advocacy groups, and labor unions in the country.
Grow Progress gives our customers the power to persuade more people by tailoring their messages to match each audience member’s identity. We help customers harness the latest persuasion science to create messaging that’s typically 200% to 500% more effective than their existing ads. We do this by predicting which personality traits and values are most important to each individual.
We’re a team of experienced campaigners, storytellers, and data scientists who are obsessed with harnessing the power of evidence to make social good advocates more effective. We’re ambitious, efficient, low-ego, and we like to make each other laugh.
About The Position
You will be a member of the data science team and report to the Lead Data Scientist.

You will also be an active member of a product development team and work on product sprints with engineers, designers, and product managers to build out our automated testing and audience understanding tools.

You will work on challenging technical problems with the goal of building lean and innovative solutions.

By being at the ground floor of a rapidly expanding company, you will get the opportunity to learn new skills, make important decisions, and work closely with team leaders.
As a data scientist at Grow Progress you will:
Work with our product and engineering teams to build out the data analysis and visualization functions of our software products.
Work with the data science team to ensure that our software products use rigorous analytical methods.
Monitor and improve the performance and data quality of our surveys and tests.

You may also be asked to:
Set up, run, and analyze custom surveys and experiments to test different persuasion strategies.
Present analysis results to internal and external audiences.

We primarily work in R, with some Python as well. Basic SQL is a must for database work.

You’ll bring the following skills and experience:
Fluency in R or Python (with some knowledge of both) and basic SQL knowledge.
Experience writing production-ready analysis code and working with engineers to deploy code into a production environment.
Experience analyzing surveys and experiments and/or building predictive models.
Ability to work in a small team environment, taking ownership of your projects, and effectively advocating for your ideas.
Ability to communicate technical issues with both technical and non-technical teammates and clients.
Capable of providing and receiving constructive feedback.
Authorization to work in the US.
Progressive values and an interest in politics.

You have some of the following bonus skills:
Familiarity with the product development process, including ideation and lean experimentation.
Familiarity with AWS infrastructure.
Experience working with campaigns or advocacy organizations.
Familiarity with social science research related to political psychology, persuasion, and/or voting.

More About Grow Progress
Our culture is fun, fast-paced, and focused on evidence. We aim to cultivate an environment where creative hypotheses and evidence drive our decisions rather than just anecdotes, and where everyone feels comfortable contributing ideas — even if it’s on a topic outside of their expertise. We work hard to get smarter together by giving each other feedback that’s direct, actionable, and respectful. We’re deeply motivated by the work we do and committed to using this technology ethically, so we’re looking for teammates who feel the same way.

We’re an equal opportunity employer committed to building a diverse company. Qualified people of any race, ethnicity, culture, age, sex, gender identity or expression, sexual orientation, social class, marital status, religion, veteran status, or disability status are strongly encouraged to apply.
Location: Washington, DC or Remote
Salary Range: $85,000 - $110,000 plus equity, depending on skill level, location, and experience. Company benefits include a company-sponsored health insurance plan (also dental and vision coverage), a flexible PTO plan, and a 401(k) with employer matching, among others.
To Apply: Fill out the form at the link below. Applications will be evaluated on a rolling basis. Please note that if you email your resume to our team directly rather than applying through the link, you will not be considered for the position.
Apply for this job


Senior Data Scientist

The Team
The Data Team at Cometeer exists to help make decisions data-driven. Data is a horizontal team that serves all business units across the company. Cometeer seeks to be data driven at its core and across all business functions. This is a foundational principle that is shared across founders, leadership, and all parts of the organization. The vision is that Cometeer wins in great part due to its ability to leverage data to drive rather than simply measure strategy and execution. The Data Team exists to execute on this vision.
The Role
We are looking for a detail-oriented and analytical deep-thinker to closely partner with non-technical and technical stakeholders. A successful candidate should have a strong quantitative foundation as well as a demonstrated ability to directly own business outcomes end-to-end. You will be one of the first hires on the Data Team, reporting to the Head of Data.
What you’ll do:

Partner with internal teams to leverage data and quantitative methods such as hypothesis testing to enable strategic decision-making and operationalize rapid growth.
Discover, understand, and integrate disparate data sources from every corner of the business, and structure them into clean data models that fuel self-service analytics for internal teams as well as advanced data science.
Partner with the engineering team to shape product roadmap, scoping and improving upstream systems and backend data sources.

What we’re looking for:

You have 5+ years experience in a data science role, using quantitative analysis to solve challenging, real-world problems (background in e-commerce or operations is a plus).
You have a strong quantitative or technical academic background, such as mathematics, computer science, statistics, economics, finance, or physics.
Expert on running SQL in production: you write complex joins and window functions in your sleep; you're experienced in state of the art tools (e.g., GitHub, Fivetran, dbt); and you spearhead best practices (e.g., data unit tests, historization, snapshotting, etc.)
Experience writing statistical models in Python and/or R (e.g., linear regressions or classifiers).
Experience modeling data into logical objects and relations, with an eye towards broad accessibility across different skill levels, using modern tools such as Looker or Tableau.
Track record of building strong relationships with cross-functional partners and executives at multiple levels of technical proficiency.


Manager Of Data Science

We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud

Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As Manager of Data Science at Karat, you will drive data innovation in both a hands-on and strategic capacity, all with the purpose of extracting key insights from our data and providing actionable recommendations as we scale. Leading a team of Engineers, and Scientists, you will be responsible for innovating on top of existing and external data, carrying out complex analysis, and creating insight and building models and products that serve a variety of key end-users in the Interviewing Cloud space.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is available for this position.

Manage a growing team of Data Scientists by guiding their research and development and model development to optimally benefit the business and enhance our product.
Work closely with the broader data team to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Partner with leadership to optimize and build ways in which we can collect richer data about user interactions.
Build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Evangelize and nurture conversations around high quality software engineering methodologies towards developing data infrastructure and pipelines, ensuring a strong culture for both technical and non-technical business stakeholders.

The experience you will bring

5+ years of relevant data science work experience
Successful track record in building and leading high-functional data science teams
Strong data analysis and scientific thinking skills with deep knowledge of statistics and rigorous analytical techniques
Proven ability to operate in a fast-moving environment supporting a rapidly growing, Internet or Technology business
History delivering insights and ML models that have provided high-value to the business
Experience with modern batch and real-time data processing technologies

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.


Principal Data Scientist

About Figure
Figure is transforming the trillion dollar financial services industry using blockchain technology.
In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.
Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.
Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!
About the Role
Each member of the Data Science team plays an integral part of what we are building at Figure.  We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What You’ll Get To Do

Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
Understand and apply proper risk framework to your analysis and modeling.
Collaborate cross functionally to implement models and monitor outcomes.

What We Look For

8+ years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
Consumer finance or adtech background is a plus
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
Experienced in using Python for analysis and modeling (TensorFlow is a big plus)
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills.
Ability to thrive in a fast-paced environment.

Benefits and Perks

Competitive salary and growth opportunities
Company quarterly performance based bonus
Equity stock options package
Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
Employer funded life and disability insurance coverage
Company HSA, FSA, Dependent Care, 401k, and commuter benefits
Up to 12 weeks paid family leave
In office, remote, and hybrid work location options
Home office and technology stipend for those working outside of a traditional office more than 75% of the time
Flexible time-off plan to empower employees to take the time off that they want and need
Continuing education reimbursement
Routine Team swag deliveries!

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.
Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
#LI-CW1


Senior Data Scientist

ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
We're looking for a Senior Data Scientist to join our growing team. In this role, you'll collaborate closely with product, engineering, design, marketing and the data team to better understand the needs and usage patterns of our members, build and deploy new features and models, iterate and optimize existing product experiences to help our members take control of their finances and improve their financial health.

ABOUT THE ROLE 🤹♀
In this role, you will focus on the following types of problems:

Working with product and engineering to predict when a member might overdraft their account based on their spending habits and account balances so that we can warn them in advance

Working with a team to develop the next version of Autopilot - ensuring members have money in the right place at the right time for their near and long term goals

Working with our engineering and data team to develop the next advances in transaction classification and categorization to better detect subscriptions and power our spending insights
Working alongside our product and marketing teams to understand product usage and predict lifetime value and retention of our members and develop ways to serve them better

Regardless of the challenges you dive into, you will:

Become a subject matter expert in your area of specialty and be responsible for leading data projects from start to finish - making key decisions on both implementation and scope while balancing both technical and business goals
Become an expert on our members: understanding their needs and financial goals and work with the data team to measure both their progress and ours
Be a steward of good instrumentation and experimental design - designing analyses, models and products in such a way that they are measurable, testable, repeatable, and robust
Maintain a high technical bar by participating in code reviews, product and technical design discussions, and focusing on maintaining a high degree of quality in our production data

ABOUT YOU 🦄

You have 4+ years of professional experience working in a data science capacity with some combination of Python/scripting language and relational database production experience
You embrace the player and coach mindset - taking the lead on solving hard problems to further your own professional development while mentoring those around you in their growth trajectories
You care just as much about why you're solving a problem as the types of problems. You want to understand context and the bigger picture of how the problem you're working on is impacting and benefitting our members
Experience in one or more of the following in a professional capacity: customer modeling (LTV, Churn), time series prediction, natural language processing and classification, machine learning applied to consumer products
You find yourself often building tools to help others solve their problems and try to follow a philosophy of continuous improvement and automation
You want to continue to grow and optimize to your learning rate and are excited by hard problems and big challenges
Experience with fintech, banking, and consumer transaction data is a plus

WE OFFER 💫

Health, Dental & Vision Plans
Competitive Pay
Matching 401k
Unlimited PTO
Lunch daily
Snacks & Coffee
Commuter benefits

Additional information: Minimum salary of $150,000/year + bonus + benefits
*Note: Disclosure as required by sb19-085(8-5-20), however, base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

About Buildout
In 2010 Buildout pioneered commercial real estate (CRE) marketing automation. Today, with over 35,000 brokers and with 12 of the top 20 brokerages counted as customers, Buildout continues to be the leader in CRE marketing automation in addition to recently launching valuable, integrated back-office workflow and customer relationship management (CRM) solutions. Developed in close collaboration with our customers, Buildout allows brokerages to bring their expertise to every stage of their deals all from within one platform. Our vision is that CRE dealmaking will be tech-powered, but human-led. We have a “some-nonsense” culture that embodies nerds and humor. Learn more about who we are, what we do, and why we’re changing the face of CRE tech on our website: https://buildout.com/.
The Opportunity
Headquartered in Chicago with employees distributed across the country, we’re a fast-growing tech company that achieves our vision through our commitment to our Team, Customers, Product, and Continuous Improvement. It is our intention to create exceptional, high quality products that lead the Commercial Real Estate industry into the future and delight our customers.
We are searching for a strategic and inquisitive Data Scientist to develop and run with data-centered projects that inform and promote our continued growth and expansion. You will harness your deep experience of Data Science to turn data into strategic insights and meaningful solutions. Our ideal candidate has a strong quantitative and analytical background and is excited to build this function and contribute to a multitude of projects.
How You'll Contribute at Buildout

Build, improve and maintain data-driven projects to help build critical solutions to difficult problems
Collect and clean data from various sources and translate into strategic insights and actionable business recommendations
Select and employ advanced statistical procedures to obtain actionable insights
Produce and distribute non-technical reports that detail the successes and limitations of each project
Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant
Set and achieve Buildout sponsored personal and professional goals

What You’ll Bring to Buildout

Extensive experience as a Data Scientist
Proficiency in R, Python, and/or other relevant languages and frameworks
Strong experience with SQL database design, architecture and querying
Strong experience in machine learning principles, frameworks and technique
Demonstrable history of devising and overseeing data-centered projects
Ability to succinctly relay insights to inform business decisions
Excellent applied analytics and problem-solving skills
Strong project management and organizational skills
An ability to move quickly in an an agile and sometimes ambiguous environment
An openness to interfacing with your customers to better understand what they need
A wanting to learn-it-all personality (versus know-it-all)

We know there are great candidates who won’t check all of these boxes, and we also know you might bring important skills that we haven’t considered. If that’s you, don’t hesitate to apply and tell us about yourself.
We are based in Chicago, but this is a remote-friendly role open across most of the US. The salary range for this position starts at $110,00.
Perks & Benefits
We built a benefits program to match the quality of our team. This program includes:

Impactful insurance and benefit options, including covering 100% of employee health insurance premiums, FSA plan, STD, LTD, life insurance, and telemedicine
Policies that support a healthy work/life balance, including generous PTO, paid parental leave, and give back days
Equipment to set you up for success including laptop, monitor, keyboard, and mouse
401(k) with 4% company match and immediate vesting
Offices in Chicago and Austin for those who prefer an office setting, plus a monthly remote work reimbursement
Challenging problems to solve with a committed and supportive team who are invested in your growth and development
A wonderfully quirky culture where you’re encouraged to bring your whole self to work

Buildout is proud to be an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, marital status, order of protection status, citizenship status, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at accommodations@buildout.com and let us know the nature of your request and your contact information and we will consider your request.
Below, you will be asked to complete identity information for the Equal Employment Opportunity Commission (EEOC). It is required by law that we ask these questions using the format provided by the EEOC. However, we want you to know that at Buildout, we understand that gender is not binary and welcome people of all identities.
For more information about our privacy practices please visit our Privacy Policy. California residents have additional rights and should review the Additional Disclosures for California Residents section in our Privacy Policy.


Data Scientist I

BlueChip Financial is looking for an entry-level ML data scientist to join our cutting edge team of analysts and engineers to expand our internal machine learning solutions. BlueChip continues to demonstrate rapid growth and increasing profit, yet our tech team is relatively small. We have a start-up-like mentality and atmosphere. We’re a team of really sharp people in a work environment that is fun, challenging, and rewarding. The focus of the work you’d be involved in is directly tied to the optimization of our machine learning/AI automation infrastructure , with a particular focus upon model performance evaluation and business impact. The compensation (base + bonus) and benefits package for this position is highly competitive. Our working environment is both casual and inclusive. BlueChip Financials primary technology team is located in Atlanta, Georgia, however, fully remote work is an option.Job DescriptionAs a Data Scientist I at BlueChip Financial, your primary responsibilities will be to: Contribute to specific data science projects and production ML pipelines (e.g., exploratory analysis, production ETL, code test/review, etc.) Utilize and help to improve our Machine Learning pipelines for our loan underwriting platform, fraud prevention, marketing, and more… Work both independently and as part of a team to solve problems and accomplish tasks in a logical, methodical, and time-efficient manner when given high-level tasks or objectives. Build and maintain ML specific dashboards and performance monitoring utilities Develop and integrate analytical methods for quantifying/optimizing model performance (e.g., cutoff/threshold optimization) Ad Hoc Analyses Minimum Requirements 0-2 years experience in Data Science or related field Proficiency in Python and associated data science related dependencies, such as pandas and sklearn. Strong skills in SQL and/or R are a plus. Strong mathematical skill and interest in using mathematics daily Experience/strong interest in evaluation of ML model performance from a production point-of-view (e.g., threshold assessments of classification/regression model output) Experience building, documenting, testing and deploying machine learning pipelines Ability to pass a background check. Clear and Strong communication skills, desire and ability to collaborate, and no ego Strong interest in analysis and finding new insights Preferred Qualifications: Experience with both larger scale relational and non-relational data frameworks Ability and strong interest for learning new things and collaborating well with others Baccalaureate (or higher) from an accredited and competitive University in a quantitatively-oriented discipline A genuine sense of enjoyment writing code and solving tough problems with data and programming Experience in financial services or other highly regulated environments. Mathematics/Statistics background is desirable  The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and performance bonus Robust healthcare plans, matching 401K, internet and cell phone line and data reimbursement and four weeks of PTO Company sponsored travel to conferences for professional development and training opportunities  About the CompanyBlueChip Financial (d/b/a Spotloan.com) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. BCF is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the “Tribe”).BlueChip Financial is an integral part of the Tribe’s economic development efforts, and it is an essential provider of employment opportunities on the Tribe’s reservation. Employment decisions at BCF are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is BCF’s policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.


Director Data Science

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsDepartment Description: Are you passionate about enabling Tableau internal customers and partners to get the most from their Big Data, Data Platform, Analytics, or Intelligence (AI) solutions? Do you enjoy collaborating across business units to find ways to realize the value of data?  Do you love seeing data drive business decisions?  Tableau’s Office of the CDO is seeking an experienced Director, Data Science. The candidate should have an extensive background in Analytics, Data Science/Machine Learning Models, Data Services, service-oriented architecture principles and business practices.  This position will report to the Tableau Sr. Director - Business Intelligence Lead in the AI & Analytics organization.  The leader will be a trusted advisor for our business partners and product teams, and work closely with the leaders within the Tableau Data and Analytics (TabDnA) team.  This role is critical for a trust Data-First culture, and a focus on the value of data. Role DescriptionThe Data Science leader will partner heavily with the business and product leaders, Customer Support Group and TabDNA’s Data Platform & Data Engineering, leaders to support Tableau business needs by enabling customer targeting, business/product insights and design quality experiments. Responsibilities
Lead and mentor a growing team of Data Scientists to discover insights, develop statistical/machine learning models and drive business impact. Examples include developing models that support customer targeting and optimizing customer lifetime value.
Identify business and product insights that improve our customer experience such as customer behavior/usage patterns, sticky features, service optimization, defect detection and network effect of publishers.
Partner with product and technology teams to make sure that we are capturing relevant data; collaborate with data engineering and analytics teams to get appropriate datasets and dashboards built in a format that enables self-serve analytics at scale.
Help us enhance our experimentation capabilities by constantly evaluating if we are measuring appropriate business metrics, implementing statistical best practices, and validating our approach is driving quality business outcomes.
Consult with business stakeholders and product managers on appropriate experimental design to answer important questions and ensure new features/initiatives are being tested rigorously
Define success and evaluate impact of experiments and other business changes/initiatives.
Desired Knowledge and Experience:
Bachelors in a quantitative field (engineering, computer science, statistics etc.) with relevant coursework in Data Science, Machine Learning, Statistics & Deep Learning or equivalent work experience
4 years of relevant work experience as a data scientist, including experience applying advanced analytics to planning and infrastructure problems.
Experience designing and building statistical forecasting models, optimization models and machine learning models.
Highly skilled in R or Python and database languages (e.g., SQL)
Ability to effectively use advanced algorithms to assess complex data resulting in practical insights
Preferred qualifications:
Masters or PhD in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.
Experience with graph databases, and data presentation of customer behavior.
3+ years of experience directly managing data scientists and analytics teams
 For Colorado-based roles: Minimum annual salary of $166,600. You may also be entitled to receive bonus, restricted stock units, and benefits. AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.


Head Of Data Science Analytics

Healthcare needs good data. At PicnicHealth, we are building deep real-world datasets to fuel cutting-edge research, while giving patients control of their own medical records data. These complete, clinically-rich datasets produce unique insights across dozens of diseases to ultimately get the right treatments into patients’ hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date we’ve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impact their lives.
We’re excited to announce $60 million in funding in a Series C led by B Capital Group. Our existing investors Felicis Ventures and Amplify Partners also joined the round, bringing the total we have raised to more than $100 million.
We are just getting started! If you are looking to join an award winning, mission-driven, motivated team that is making a real impact across millions of people’s lives, PicnicHealth might just be the place for you.
The Opportunity
PicnicHealth processes tens of thousands of pages of medical records each week using a variety of applications that allow us to communicate with patients, retrieve and label records, and generate high quality datasets. We also engage with patient communities to understand more about their care journey and to get our product into the hands of those excited to participate in research. In this context, our ability to measure, analyze, and strategically act on data is critical to the company’s success.
We are looking for a Head of Data Science & Analytics to drive impact and direction for our budding team. You will lead a team initially composed of 2-3 data scientists and analysts, and act at the outset as a player/coach while developing a vision for the future of analytics at PicnicHealth. You will collaborate closely with data engineering, operations, and our product squads to shape decision making across the company and be responsible for hands-on analysis, for producing forward-looking frameworks that quantify any and all aspects of PicnicHealth’s business, and for helping design the infrastructure needed to make quick, easy analysis possible for others. Your contributions will impact company strategy, foster a culture of excellence,  and solidify an analytics practice that can scale with company needs. You should be proficient in the tools of the trade, from basic spreadsheet and SQL modeling and data visualization, to advanced statistics, data pipelines (e.g. built using dbt, Airflow, and Python), and business intelligence tooling. As a leader, you should have significant experience with people management, planning, and strategy.
As Head of Data Science & Analytics, you will be responsible for:

Managing a small team of data analysts;
Modeling business processes and influencing decision making;
Producing long-term roadmaps, rituals, and resourcing plans for Data Science & Analytics at PicnicHealth;
Working with data engineers to shape infrastructure that makes analysis simple and repeatable;
Working with leaders across the company to define analytical needs and prioritize capacity; and

Continuing to build a world-class team by attracting, interviewing, and onboarding your future team members during this exciting time of growth.

You are a great fit if you:

Have 7+ years of full-time work experience as a data analyst or data scientist that includes 3+ years of people management;
Love diving into complex business processes and finding ways to accurately model them;
Are a clear and detailed communicator about your work, design, and tradeoff decisions;
Are driven to work on high impact (ROI) projects and thrive in a fast-paced environment; and
Are excited to manage, mentor, and grow a cohesive, collaborative team.

We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward.
Why join PicnicHealth?
At PicnicHealth you get to solve real problems with real solutions, great tech, and great people.
We offer a hybrid set up for our team: team members in the Bay Area can work from the SF office on a flexible schedule; remote team members are expected to travel to in-person meetings 4-6 times a year.
You also get:

Competitive salary
Comprehensive benefits including above market Health, Dental, Vision
Family friendly environment
Flexible time off
401k plan
Free PicnicHealth account
Equipment and internet funds for home office set up

COVID-19 Policy
We require proof of vaccination for COVID-19, except those with medical or religious exemptions.
Equal Opportunity Statement
PicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.


Senior Director Data Science Analytics

One in two people experience debilitating back, neck, shoulder, or joint pain — but traditional treatments have failed to meet their needs. Physical therapy can be expensive and hard to access; appointments often involve long commutes and missed work. Making matters worse, unresolved pain can trigger the overuse of opioids and surgeries.

Join us in reimagining healthcare from the ground up. We’re making high-quality care accessible by pairing wearable sensors and computer vision with a world-class clinical team. Hinge Health puts a digital clinic in every member's pocket. Now millions of people can access personalized digital care from a physical therapist, guidance on behavior change from a health coach, and expert consultations with an orthopedic surgeon. With a single app and wearable technology like our Enso device, we’re helping to reduce pain, surgeries, and opioid use.

Work from anywhere:

Hinge Health employees have the flexibility to work remotely in hubs across the US, Canada, and Latin America or work from our offices in San Francisco, Portland, and Montreal.

To Learn more  about our company & culture please visit:
http://www.hingehealth.com & https://www.hingehealth.com/diversity-equity-and-inclusion/

About the role:

We are looking for a Sr. Director, Data Science & AnalyticsAnalytics and Data Science to lead these functions into an exciting new chapter of company growth. This person will manage a team of data scientists and data analysts, scale our operating model, mature how we perform analyses, and overall help spread data literacy at Hinge Health. We are looking for a “player-coach” who both gets their hands dirty and has a track record of being a trusted partner aiding the company's biggest decisions. In addition, you’ll be working closely with both our data engineering team on infrastructure strategy and our AI/ML team on cross-functional initiatives.

#LI-JJ1

WHAT YOU’LL ACCOMPLISH

Establish a team structure and mechanisms that ensure your team has a seat at the table for strategic product and business decisions
Help us hit our analyst hiring goals to keep up with rapid company growth
Consistently mature the rigor of our analyses, processes, and tools, so that our output is timely, trusted, and reliable
Increase self-service to insights via a combination of tools, dashboards, analysis templates, and education
Help your team hit their professional development goals

WHAT WE'RE LOOKING FOR

Vision: articulates a clear vision for the role and structure of the organization and how it can earn a seat at the table for business decision making.

Cross-functional: fluent with all stakeholders across product, commercial, clinical, finance, and more.

Player-coach: enjoys getting their hands dirty and thrives in the “player-coach” model by hiring A players, coaching and guiding them, while at the same time diving deep to deliver key results if necessary

Learn-it-all: a strong background in business analytics, data science, or applied statistics

Technical: SQL mastery, fluency in Python and R (or other statistical analysis packages), and experience designing and analyzing hypothesis-driven experiments and multivariate tests
Knows enterprise data tool sets inside and out and could lead a purchasing decision

WHAT YOU'LL LOVE ABOUT US

Competitive compensation with meaningful equity
Medical, Dental, Vision, Disability and Life Insurance (We cover 100% of your premium and 75% for your dependents)
Flexible PTO
FSA/HSA accounts
Family & fertility benefit through Maven Clinic
401K match
3 months paid parental leave
Professional Development budget
Quarterly lifestyle benefit to use towards WFH equipment & fitness
Generous mental health stipend
Work from home policy
Opportunity to join a fantastically talented, diverse, and passionate team at a pivotal time in the company’s lifecycle

We want to make you aware that there continues to be a significant increase in phishing attempts across all industries where fraudsters are impersonating real HR employees and sending fictitious job offers to applicants in a scheme to obtain sensitive information.

Please note that we will never ask for your financial information at any part of the interview process including the post-offer stage, and will only correspond through @hingehealth.com domain email addresses.

If you encounter any suspicious activity, we recommend you cease all communication with the individual and consider reporting them to the US FBI Internet Crime Complaint Center.

If you would like to verify the legitimacy of an email you received from our recruiting team, please forward it to security@hingehealth.com.

About Hinge Health:

LinkedIn recently named Hinge Health one of the Top 50 Startups. Forbes, Fast Company, and Inc. have also recognized our technology, innovation, and culture.

Since our founding in 2014, we've raised more than $800 million from leading investors, including Coatue and Tiger Global. Today, Hinge Health is the leading Digital MSK Clinic, used by 4 in 5 employers and nearly 90% of health plans with a digital MSK solution. We work with 900+ customers across every industry and the public sector — including Salesforce, Verizon, and the State of New Jersey — to give more than 20 million people access to the care they need. We’re positioned to continue leading the market with unmatched investments in clinical research, care innovation, machine learning, AI, and computer vision.

Diversity and inclusion:

We’re committed to building diverse teams that reflect the communities we serve. Visit hingehealth.com/diversity-equity-and-inclusion to learn more about what moves us.

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.

If you're interested - we'd love to hear from you. No recruiters, please.


Senior Data Scientist

Ready to make an impact? If so, please read on!
Based out of our Chevy Chase, MD/Washington DC office, GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.
As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders.  You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.
Expected Qualifications:
Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analyticsDeep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics.Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying languageStrong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or SparkExcellent communication skills and experience in working with stakeholdersPassion for extracting hidden insights and building machine learning systems that enhance business outcomes
To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.
Benefits:
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:
Premier Medical, Dental, and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) Profit Sharing PlanTuition Assistance including Direct Billing and Reimbursement payment plan optionsPaid Training, Licensures, and Certificates
*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
EEO Statement:
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruiting, developing, and retaining the most talented individuals to further grow our team.
#LI-AM1


Senior Data Scientist Telematics

Ready to make an impact? If so, read on!
GEICO's telematics team uses predictive analytics and machine learning methods to create innovative products and customer interactions using sensor data capturing customer driving behavior. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data cleaning, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.
As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will research, develop, and deploy telematics-based solutions to improve pricing, drive customer segmentation, and streamline claim resolution in order to create a competitive advantage for GEICO. You'll synthesize large sensor-based datasets and solve complex problems using advanced machine learning and statistical modeling. You'll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.
Expected Qualifications:
Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analyticsDeep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics.Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying languageStrong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or SparkExcellent communication skills and experience in working with stakeholdersPassion for extracting hidden insights and building machine learning systems that enhance business outcomes
Preferred Qualifications:
Deep understanding of insurance telematics (mobile, device, connected vehicle)Experience working with sensor data, signal processing, IoT solutionsExperience with geospatial data and specialized geospatial software tools including ESRI ArcGIS, OSM
To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.
Benefits:
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:
Premier Medical, Dental and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) Plan with Profit SharingTuition ReimbursementPaid Training and Licensures
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team.
#LI-AM1


Data Scientist Natural Language Processing

Ready to make an impact? If so, read on!
GEICO is on the cutting-edge of smart marketing and advertising. We have a culture of experimentation, rapid iterations and feedbacks, and lean delivery, complimented with strong partnership and collaboration with product, marketing, tech, and data teams. We are looking for an Natural Language Processing (NLP) researcher who has experience and passion for innovation at the intersection of data, experimentation, and marketing.
Responsibilities:
You will help drive growth in GEICO’s various lines of business, and help evolve our marketing programs through message customization and optimization by means of NLP, machine learning, and dynamic testing. You will work with large-scale data across variety of channels and customer touch points, conduct in-depth quantitative analysis, build and validate Machine Learning models, and deliver impactful and useful products that will drive key marketing decisions.
Research and design solutions for various insurance NLP use cases Insurance specific corpus generation and language modeling Design and architect word/sentence/document embeddings of insurance content Perform context sensing and context-group discrimination on insurance content Build solutions for domain specific NER, functional component tagging Build solutions for domain specific text generation
Qualifications:
Technical Capabilities
Linguistics knowledge Demonstrated experience with NLP including  Corpus preparation Word embeddings Language modeling Use cases like NER, Q/A systems, text generation etc. Experience in supervised and unsupervised modeling, transfer learning Experience in deep learning MLP, CNN LSTM/GRU, attention, transformers Sequence-to-sequence learning Keras, Tensorflow, PyTorch, SpaCy Pre-trained NLP solutions BERT, GPT3 and other variants Strong coding skills (Python/R) Experience with data science product life-cycle
Professional Capabilities
Strong sense of curiosity and ability to self-learn; willingness to research, design and test novel solutions and learn from failures Ability to research and offer solutions related to novel problems Ability to build, test, and iterate on medium to large scale projects of moderate complexity  Strong analytical and quantitative problem-solving skills Strong oral and written communication, ability to create presentations with a logical flow to tell a compelling story Excellent attention to detail
Preferred Qualifications:
Three or more years of data science experience Experience with Dynamic Multivariate Search/optimization algorithms: e.g. Multiarmed bandit, reinforcement learning, evolutionary algorithms Strong statistics knowledge Experience with Bayesian learning (e.g. Bayesian regression, Bayesian Networks) Experience with design of experiments Experience with clustering and segmentation methods
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* includes:
Premier Medical, Dental and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) Plan with Profit SharingTuition ReimbursementPaid Training and Licensures
*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers.
To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team.
#LI-AM1