Senior Data Scientist Analytics

Do you believe that people should compassionately support one another to create a better world? Well, we do!
Serving as the world’s most trusted fundraising platform, GoFundMe is committed to creating a better world by making it safe and easy for people to support causes they’re passionate about. When someone sees a need—whether it’s in their neighborhood or across the globe—they can turn their compassion into action through GoFundMe. Our customers have raised over $15 billion for their personal causes, making GoFundMe a top 200 website in the US based on traffic, with a monthly audience of over 100 million people.
GoFundMe is searching for a Sr Data Analyst Scientist on the Data Insights team to work primarily with the product development and management teams.
The Job…

Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for several departments across the company with a focus on product development.
Advise on and analyze A/B test results for product optimizations
Monitor KPIs and present emerging trends and actionable insights to leadership team
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Develop dashboards and perform ad hoc analysis
Ensure data quality by testing tables, dashboards, models and analysis
Build forecasting and ROI models to project growth for various initiatives to assist with roadmap prioritization
Learn and assist data engineers with data transformations and ETL projects

You…

5+ years experience in data analysis and science using web, marketing, product and/or user behavior data
Expert SQL skills for data querying and manipulation
Experience with data analysis and statistical modeling using the R or Python ecosystems
Data visualization skills and experience with BI tools (Tableau/Looker)
Strong presentation skills, being able to author and present insights to the leadership team
Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs a plus
Wealth of experience in product and user behavior analysis a plus.
Master's degree in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas).

Why you’ll love it here...

Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses

A variety of  mental and wellness programs to support employees

Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
Learn more about GoFundMe...
A Year in Giving: 2021
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality


Sr Data Scientist

6 River Systems (6RS) is the Robotics division of Shopify (SHOP), leading the way to warehouse automation and faster fulfillment. E-commerce has changed the world and our solutions power the winning warehouses of the future. We’re disrupting the $100 billion fulfillment industry with our proprietary AI, collaborative mobile robots, and cloud-based enterprise software.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company. We are as passionate about hiring the right people as we are about building great products. 6 River Systems is ‘digital by default’, a digital-first way of thinking, working and operating. The office as we've known it has changed and the majority of our employees now work from home.
Position overview:
As a Sr. Data Scientist on the 6RS Data Insights Team, you will have the opportunity to work with the immense amount of data collected by our end-to-end 6RS warehouse automation system. We are looking for inquisitive and creative people who can use Analytics & Data Science to derive value from this data and provide insights into the behavior of the robots and find ways to increase the overall performance of our 6RS system. Our team’s mission is to help internal and external stakeholders make better data-informed decisions.Responsibilities:

Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Experiment with models, simulations, and even live warehouses to help identify improvement opportunities
Build tools for analyzing system data to provide insights to other less technical teams
Choose and use the appropriate data science methods (e.g. visualizations, dashboards, A/B testing, survival analysis, regression, survey design, machine learning, etc)
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define data collection and ETL processes
Define data models, build actionable KPIs and production-quality dashboards

Requirements:

BSc degree in Computer Science / Data Science or relevant (e.g. Physics, EE, MechEng)
5+ years of work experience, not including internships
Strong knowledge of Python and software engineering fundamentals
Deep understanding of advanced SQL techniques
Extensive experience with machine learning
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, and experimentation)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Strong sense of ownership and growth mindset

Bonus points for one or more of the following:

Master’s or PhD degree in science/engineering
Strong expertise with statistical techniques
Extensive experience with machine learning
Masterful data storytelling and strategic thinking
Domain experience in e-commerce, marketing or SaaS

Location:
Our Innovation Lab is based in Waltham, MA.  However, the office as we've known it has changed for everyone and the majority of our employees now work from home. So even if you are currently living outside of the greater Boston area, we encourage you to apply.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company.  As a team, we encourage open discussion about particularly challenging problems. We are as passionate about hiring the right people as we are about building great products.
6 River Systems is ‘digital by default’, a digital first way of thinking, working and operating. The office as we've known it has changed for everyone and the majority of our employees now work from home.
Why 6RS? Recognized by the Boston Globe as a Top Place to Work

Entrepreneurial spirit of a start-up combined with the stability of a global commerce company
Competitive compensation packages and Shopify RSUs
Company-paid health, dental, and vision coverage for all employees
Paid holidays, vacation/sick time, and parental leave
Annual 401k contribution from the company
Lifestyle spending account

About 6 River SystemsFounded in Waltham, Massachusetts in 2015, 6 River Systems is a leading collaborative mobile robotics fulfilment solution and part of global commerce company Shopify. Founders Jerome Dubois and Rylan Hamilton were previously executives at Kiva Systems (now Amazon Robotics). The 6 River Systems solution is operating in more than 20 facilities in the U.S., Canada and Europe, fulfilling millions of units each week for companies including Lockheed Martin, CSAT Solutions, ACT Fulfillment, DHL, XPO Logistics, and Office Depot. To learn more, visit www.6river.com.
About ShopifyShopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Headquartered in Ottawa, Canada, Shopify powers over one million businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. For more information, visit www.shopify.com.


Data Scientist

6 River Systems (6RS) is the Robotics division of Shopify (SHOP), leading the way to warehouse automation and faster fulfillment. E-commerce has changed the world and our solutions power the winning warehouses of the future. We’re disrupting the $100 billion fulfillment industry with our proprietary AI, collaborative mobile robots, and cloud-based enterprise software.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company. We are as passionate about hiring the right people as we are about building great products. 6 River Systems is ‘digital by default’, a digital-first way of thinking, working and operating. The office as we've known it has changed and the majority of our employees now work from home.
Position overview:
As a Data Scientist on the 6RS Data Insights Team, you will have the opportunity to work with the immense amount of data collected by our end-to-end 6RS warehouse automation system. We are looking for inquisitive and creative people who can use Analytics & Data Science to derive value from this data and provide insights into the behavior of the robots and find ways to increase the overall performance of our 6RS system. Our team’s mission is to help internal and external stakeholders make better data-informed decisions.Responsibilities:

Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Experiment with models, simulations, and even live warehouses to help identify improvement opportunities
Build tools for analyzing system data to provide insights to other less technical teams
Choose and use the appropriate data science methods (e.g. visualizations, dashboards, A/B testing, survival analysis, regression, survey design, machine learning, etc)
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define data collection and ETL processes
Define data models, build actionable KPIs and production-quality dashboards

Requirements:

BSc degree in Computer Science / Data Science or relevant (e.g. Physics, EE, MechEng)
2+ years of work experience, not including internships
Strong knowledge of Python and software engineering fundamentals
Extensive experience of SQL and databases
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Strong sense of ownership and growth mindset

Bonus points for one or more of the following:

Master’s or PhD degree in science/engineering
Deep understanding of advanced SQL techniques
Strong expertise with statistical techniques
Extensive experience with machine learning
Masterful data storytelling and strategic thinking
Domain experience in e-commerce, marketing or SaaS

Location:
Our Innovation Lab is based in Waltham, MA.  However, the office as we've known it has changed for everyone and the majority of our employees now work from home. So even if you are currently living outside of the greater Boston area, we encourage you to apply.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company.  As a team, we encourage open discussion about particularly challenging problems. We are as passionate about hiring the right people as we are about building great products.
6 River Systems is ‘digital by default’, a digital first way of thinking, working and operating. The office as we've known it has changed for everyone and the majority of our employees now work from home.
Why 6RS? Recognized by the Boston Globe as a Top Place to Work

Entrepreneurial spirit of a start-up combined with the stability of a global commerce company
Competitive compensation packages and Shopify RSUs
Company-paid health, dental, and vision coverage for all employees
Paid holidays, vacation/sick time, and parental leave
Annual 401k contribution from the company
Lifestyle spending account

About 6 River SystemsFounded in Waltham, Massachusetts in 2015, 6 River Systems is a leading collaborative mobile robotics fulfilment solution and part of global commerce company Shopify. Founders Jerome Dubois and Rylan Hamilton were previously executives at Kiva Systems (now Amazon Robotics). The 6 River Systems solution is operating in more than 20 facilities in the U.S., Canada and Europe, fulfilling millions of units each week for companies including Lockheed Martin, CSAT Solutions, ACT Fulfillment, DHL, XPO Logistics, and Office Depot. To learn more, visit www.6river.com.
About ShopifyShopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Headquartered in Ottawa, Canada, Shopify powers over one million businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. For more information, visit www.shopify.com.


Data Scientist

About Mystery

Mystery is on a mission to make people as happy as they can possibly be at work. To help us get there, we’re adding even more of the brightest minds to our team; could that be you?

Every year, companies spend billions trying to boost morale and improve retention—and with an increasingly remote workforce, that’s only getting harder. Combining highly curated, incredibly memorable team experiences with a world-class employee engagement platform, Mystery solves this problem for hundreds of the world’s top companies (Amazon, Apple, Stripe, Google, KPMG, and Uber to name a few).

We’ve just raised an $18.5M Series A from Greylock with participation from Zoom Ventures, Moving Capital, Endeavor, Gaingels, and others. This funding means we can continue to grow our team as we scale our product, all while still offering competitive pay and remote perks (more on that below).

Culture is at the heart of what we do—come join a dynamic and innovative team that’s bringing wonder to work!

This role will be one of the first Data Science hires at Mystery, reporting to the VP of Engineering. You'll play a vital role in shaping our data and analytics strategy as we work towards our mission of helping make work a happier place!

About You

Insatiably curious – your mind is brimming with questions and you find joy in learning the answers

Motivated by customer problems – you have deep empathy for your internal and external stakeholders

Master of your craft – you demonstrate pride, ownership and accountability for everything you do

Action oriented – you have a bias towards action and like to communicate complex concepts in a clear, precise, and actionable manner

Your Responsibilities

Partner closely with Product and Engineering to shape product strategy using rigorous scientific inputs
Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
Design, implement and interpret innovative data science experiments to empower data-driven decisions and products at scale
Drive the collection of new data and the refinement of existing data sources
Create analyses that tell a story focused on insights, not just data

Desired Skills and Qualifications

2+ years of industry experience in Data Science
A PhD or MS in a quantitative field (e.g., Economics, Statistics, Engineering, Natural Sciences, Operations Research)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Strong knowledge of statistics, experimentation, and causal inference
Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact

Compensation and perks
Because taking care of our employees doesn’t stop at having fun together.

Work from anywhere
The new definition of a “modern workspace” is whatever you make of it. Comfort of home? Great. A different beach each week? Do it. (As long as there’s wifi…) Our WFH stipend will help you outfit your office wherever it is.

Unlimited PTO
Seriously. Everyone at Mystery is passionate about solving the problems of remote work; as long as you make your contribution to that effort, take time whenever you need to.

Comprehensive healthcare
General, vision, dental, mental. You should bring your best self to work, and sometimes that means a visit with a professional. We have you covered.

Pay, 401K, and equity
Happiness doesn’t pay the bills or help you retire, so we offer competitive compensation to take care of those parts of your life.

Parental leave
We raise the standard with 12-weeks of paid parental leave for both birth and non-birth parents.

Bi-annual offsite
Connecting as a team—as a whole team—is important to us. Twice a year we put extra effort into getting everyone “together” for fun and professional development.

Learning and development
When you grow, we grow. Mystery offers an annual stipend to keep your skills sharp and help you reach your goals.

Mystery is proud to be an equal opportunity employer. We're committed to a diverse and inclusive workplace and welcome applicants from all backgrounds and walks of life to apply. Mystery requires background checks for all positions; criminal records do not automatically disqualify a candidate for the role.

#LI-Remote


Wayfair Data Science Machine Learning Opportunities

Location(s): Austin,TX- Boston, MA- San Francisco,CA- Toronto, Canada
Team Description: Wayfair’s Data Science team builds the algorithmic systems that drive our business.
With 8 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, our projects span from enormously broad to minutely specific. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment.
There is very little at Wayfair that our Data Science team does not touch. They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.  As a Data Scientist at Wayfair, you will have the opportunity to play a critical role in a growing company while also operating with a high level of executive visibility. The team is focused on creating strategic solutions that steer customer behavior, influence key decision making and quantify our impact within the e-commerce space. Our diverse and fun employees enjoy an environment of strong ownership and quick feedback from building, experimenting, and iterating on high-impact work.
What You'll Do
Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
Develop quantitative models, leveraging machine learning and advanced data analysis techniques to create novel solutions to complex business problems
Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
Drive measurable business value collaborating with business teams to change the course of Wayfair
Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
Work with a team of friendly and motivated scientists, engineers, and product managers to build novel solutions to business problems
What You'll Need
1-4+ years of experience in a quantitative or technical work environment and an advanced degree (PhD) or Masters in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning strongly preferred
Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives
Ability to thrive in a dynamic environment with ambiguity
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.


Senior Data Scientist Marketing Worldwide

Hi, we’re DuckDuckGo, the Internet privacy company for everyone who's had enough of hidden online tracking and wants to take back their privacy now. For over a decade, we've been building our product, including new privacy technology, and working with policymakers to make online privacy simple and accessible for all.

Our app is now downloaded more than 50M times a year, and our private search engine packaged with it has become the #2 search engine on mobile in the U.S., Canada, Australia and the Netherlands. Oh, and we've been profitable since 2014 with revenue currently exceeding $100 million a year! Now we’re rolling out major new features, such as Email Protection and App Tracking Protection, and we’re also working on a desktop browser version of our app for Windows and macOS.

We’re looking for a Marketing Data Scientist to help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.

The Opportunity
In this role You will bring a data science perspective to marketing campaigns to ensure we design tests optimally to gain statistically valid strategic insight. You will also improve, streamline, and apply our methods for analyzing data to assess the effectiveness of our marketing campaigns.

What You Will Bring to DuckDuckGo
Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem.
Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics.
Significant experience with data science with a focus on analytics.
Experience with statistical modelling and time series analysis
Experience designing experiments and interpreting results.
Experience with marketing campaigns
Comfortable working with internal funnel and usage data as well as survey-type metrics and ability to combine and synthesize takeaways across data sets.
Experience with segmentation and ability to tease out insights from large and sometimes ambiguous data sets and translate into hypothesis and media recommendations
Creative and curious, innate desire to pose questions of the data and seek novel findings that can help direct the company's strategy.
Enjoys working independently and collaboratively with agencies, media planners, media strategists, user insights and product experts etc.

How We Will Support You
Our core values -- build trust, question assumptions, and validate direction -- underpin how we work day-to-day and the support we give our team members. We strive to empower our team members to be self-directed and self-motivated in their work.

Remote First, Always: We've always been a fully distributed company with team members all over the world. We trust you to get your work done wherever, whenever.

Commitment to Personal Growth: Every team member has an annual budget of $1,250 USD to invest in their professional development. Every team member also has a dedicated Career Advisor, who serves as a guide to help you develop your strengths, identify your motivations, and understand your opportunities for growth.

Leadership: We have many different types of leaders and possible combinations of leadership roles, so you can grow your career in a way that aligns best with your personal goals. You can seek additional leadership roles by being directly responsible for projects, taking ownership of areas of the company, developing and maintaining internal processes, or pursuing advisory roles.

Work/Life Balance: Team members have the freedom and flexibility to organize their own work schedules. We want you to thrive both in and out of the office. We trust you to use good judgment and take the time off that you need to bring your best self to work.

We also offer paid parental leave, a co-working stipend, office setup reimbursement, and a wellness stipend. More support resources can be found in our, Team Member Support Guide, which explains how we make your well-being a priority.

For more information on how we collaborate worldwide, from leadership in our relatively flat organization to start-to-finish ownership, check out DuckDuckGo Culture: How We Work.

Compensation
Annual compensation: $160,000 USD and stock options.

Hiring Process
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo and envision your future role here. Find out more about how we hire.

Diversity, Equity, and Inclusion
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.

If you think you might thrive in this environment, we would love to hear from you.

Please note that:
Sometimes we meet up! Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While these plans were halted due to the COVID-19 pandemic, we plan to recommence all company meetups in 2022.
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate will be subject to a background check and must receive satisfactory results of the same, as a condition of joining the team.
By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.


Senior Data Scientist

We’re looking for a Senior Data Scientist to drive personalization and ML based services. In this role, you’ll work closely with Product to develop the foundation of Built In’s data science practices as part of the data engineering team. This is an exciting opportunity for someone who is eager to solve data problems of varying complexities with a focus on making our data actionable, and influencing the experience of our users.


Senior Data Scientist Core

We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data engineers are focused on enabling teams across the company to better understand and leverage data by building an accessible and intuitive data foundation.
You’ll spend part of your time collaborating closely with Coinbase product teams, including data scientists, product managers, and full stack engineers — to enable efficient data driven product development. And you’ll spend part of your time collaborating closely with data platform engineers and other data engineers to scale our capabilities, adopt new technologies and best practices, and develop your own contributions to our tech stack. We expect you to demonstrate strong ownership, desire to learn and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Develop data pipelines, datasets, and dashboards to support Coinbase product teams
Proactively improve table and pipeline architecture, optimize query performance, and leverage improvements in our tech stack
Build frameworks / scripts to perform common repeatable data patterns in generic, efficient manner
Adopt new data platform technologies as a power users and teach others to effectively leverage them
Work closely with data science to enable exploratory analysis, predictive modeling, and data driven decision making
Work closely with product engineering to design logging schemas to support new and changes to existing Coinbase products
Become a subject matter expert for your data domain and help teams across the company to access and understand your data
What we look for in you (ie. job requirements):
7+ years relevant experience
Knowledgeable about data architecture, data warehousing, and ETL design patterns
Highly proficient in SQL and Python
Experience manipulating large amounts of structured and unstructured data
Experience with pipeline orchestration tools, preferably Airflow
Experience designing and implementing efficient data pipelines and data warehouse models (schema design)
Be able to independently identify and develop data solutions in service of ever changing product requirements
Experience leading large scale projects with multiple stakeholders (product managers, data scientists, and full stack engineers)
BA / BS degree or equivalent practical experience
Positive energy and willingness to learn and elevate others around you
Nice to haves:
Experience with big data processing engines, preferably Spark
Experience with cloud based data warehousing applications, preferably Snowflake and Databricks
Experience with data visualization applications, preferably Looker, Redash, or Mode
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado, is $175,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
(G2296)
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, you will be required to be fully vaccinated from COVID-19 (as defined by applicable law).  If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
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Hr Decision Science Analyst

Job Summary:
Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to solve hard and interesting problems?  Imagine yourself as a Decision Science Engineer in People Insights where your curiosity for discovering insights and trends will help ensure we are making data-driven decisions. In this role, you will be able to blaze new paths in this data rich environment through Machine Learning, Data Engineering and Analytics. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex models, data, and engineering solutions.
You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to actionable insights to provide decision support for workforce related issues.
Responsibilities:
Analyze, design, build and maintain machine learning models, data pipelines and automated insights.Build and work with large and complex data sets and measures to be used in analyses that drive business decisions.Proactively identify opportunities and build solutions for optimization of machine Learning and Analytical models, forecast and insights.Manage and sustain analytical infrastructure/platform, technologies and solutions working across teams such as IT, Decision Scientists and Analytics Partners.Consult within a team of analyst, translating analytical needs into repeatable solutions.Proactively identify emerging trends in ML, data engineering, processing and public/external/third-party data usage and integration.
Basic Qualifications:
Applied knowledge in ML development workflow and algorithms including choosing/developing ML algorithms, hyper parameters, tuning, understanding bias and variance, model monitoring and deploying ML models.Strong programming skills in R/Python and SQL.Experience in building solutions on the cloud using AWS or Google cloud.Proficiency in data visualization / presentation skills, including the ability to simplify ML outputs, statistical concepts into simple and actionable insights.Ability to consult with non-technical teams and convert that to technical requirements.Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a related field.
Preferred Qualifications:
Experience in any of the following: Deep-Learning, NLP, parallel and distributed programming, HR / employee data (Workday).Working knowledge with analytics software such as Dataiku.Experience with leading and developing others.Contribution to Open-Source ML/Data projects.Advanced degree (Master’s or above) in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a related field.
Required Education
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a related field.

This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
About The Walt Disney Company (Corporate):
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Human Resources Services Co., LLC, which is part of a business we call The Walt Disney Company (Corporate).
Disney Human Resources Services Co., LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.


Hr Decision Scientist

Job Summary:
Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to solve hard and interesting problems?  Imagine yourself as a Decision Scientist in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources (HR) and across The Walt Disney Company. In this role, you will be able to blaze new paths in this data rich environment through statistical modeling, forecasting and employee research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through advanced analysis, data visualization, and compelling storytelling.
You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to actionable insights to provide decision support for workforce related issues.
Responsibilities:
Proactively identify analytical opportunities to answer business questions and drive action through clear actionable insights and storytelling.Create accurate, sustainable statistical algorithms and machine learning processes that support HR business processes, tools, or products.Conduct in-depth analysis to identify drivers of employee behaviors, forecast aggregated employee movements and actions, forecast and analyze cost of labor, programs, and return on investments.Build and work with large and complex data sets and measures to be used in analyses that drive business decisions.Consult within clients and a team of analyst, translating business objectives and  analytical needs into repeatable analytical solutions.
Basic Qualifications:
Demonstrated proficiency with database/statistical languages such as R, Python, and SQL analytics or software such as Dataiku.Strong knowledge of statistical methods, forecasting, and model building (e.g. Cluster Analysis, PCA, Regression, Decision Trees/Random Forests, Structural Equation Modeling).Proven experience working in survey data (Item analysis, Scale Reliability, Key Drivers) but an appetite to combine with other data to take those analyses/insights to the next level (e.g. creating personas).Experience with financial analysis including Return on Investment, Return on Expectations, Break-even Analysis, Program Evaluation, and forecasting of labor spend.Exceptional storytelling / presentation-building skills, including the ability to translate complex statistical concepts into simple and actionable insights.Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics or a related field.
Preferred Qualifications:
Experience with leading and developing others.Experience with HR / employee data (Workday), visualization tools, such as Tableau and/or Cognos, or large database environments (e.g. Snowflake, RedShift).Proven experience leveraging NLP/ML to understand social media trends/sentiment.Advanced degree (Master’s or above) in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics, or a related field.
Required Education
Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics or a related field.

This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
About The Walt Disney Company (Corporate):
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Human Resources Services Co., LLC, which is part of a business we call The Walt Disney Company (Corporate).
Disney Human Resources Services Co., LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.


Senior Data Science Manager Sustainability

We’re an international agtech startup pioneering an ambitious mission in a budding industry where agriculture meets technology. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer. Indigo is extraordinary, and we owe that to the individuals who make up our community and enable success through diversity of thought, experience, background, perspective, race, sexuality, gender, age, and everything else that makes a person uniquely themselves. Connected by a common vision and empowered by diversity, we aren’t ordinary, and neither are you. Embrace your extraordinary and join Indigo in cultivating a healthier planet fueled by unique game changers.
The sustainability data science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including:

Operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy

Partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon sequestration field experiments and sensor technologies

Strategic decision support with forecasting and scenario planning
Partner with the product team on tools, processes, and data products to enhance the grower’s Carbon program experience.

The role:
We are looking for a senior manager to lead a cross-disciplinary team of data scientists, analysts, and software engineers to own the end-to-end flow of ground truth measurements for both (1 Indigo's current Carbon program and (2 future opportunities related to sustainability. The approach could include reviews of the scientific literature, analysis of soil and agronomic datasets, and use of simulation, modeling, and machine learning.
As such, the role involves an operational component generating sampling plans, sending agents to the field to collect soil samples, and lab sample reconciliation—ideally improving the processes and tools to both improve efficiency, scale, and reliability with reduced cost—as well as insight generation and integrating systems into our core technology platform. It also involves a more strategic and R&D component, partnering with our science team to examine the latest literature, open and proprietary data, evaluate partner field experiments, and make recommendations about our program and offering.
Quantifying soil organic carbon sequestration effect sizes and uncertainty are at the heart of our program. This involves developing sound methodological approaches. To thrive in the role, you will be comfortable with experimental design, statistics, and the vagaries and realities of real world, messy, experimental data. You do not need an agronomic background (but it would be a bonus) but you must be comfortable diving into a new domain and understanding the latest bleeding edge technologies, literature, and approaches. Indigo has a highly collaborative culture, thus you will thrive partnering with other squads, engineers, influencing the higher level roadmap and cat herding. Finally, you embody the player-coach approach, and willingly roll up your sleeves to act as an individual contributor (mostly in Python) alongside your team and other collaborators.
We are looking for someone who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program, an expanded Sustainability offering, as well as growing, nurturing, and managing a team of like-minded data scientists, analysts, and software engineers.

Responsibilities

Partner with our science team to review literature, and design, analyze, and draw insights from field experiments and make program recommendations for Carbon sequestration programs as well as other aspects of sustainability.
Collaborate with product managers and engineers to productionize soil data-related systems including sampling algorithms and plans, QA/QC, lab data reconciliation, and other aspects of the Carbon program operational data flow and processes.
Manage a team of data scientists, analysts, and software engineers. Provide tactical and strategic leadership, nurture their personal development and career.
Contribute to the culture, standards, processes, and knowledge sharing and learning within the broader Carbon data science team, as well as with our partners that span remote sensing, product, engineering, science, policy, and leadership.
Own the roadmap: be a strategic thinker that can span the big picture, paint a compelling vision of the future, influence leadership to obtain the necessary resources and prioritization but dip down to backlogs, tickets, and story points to make progress.

Competencies:

Managed a team of data scientists, statisticians, or analysts for at least 2 years in an industrial setting. Bonus points for startup experience.
Enjoy collaborating across multiple disciplines, including product, science, and engineering.
Strong communication skills, ability to listen, story tell, and influence partners, especially in a remote first environment.
A strong statistical background, especially in sampling, bias, experimental design, and uncertainty. Simulation, Bayesian approaches, and MCMC experience could be useful.
Extremely comfortable working with data, databases, SQL, APIs, data munging, and other data preparation and cleaning tasks.
Experience with the agile process and methodology, developing a robust backlog, and designing and getting buy in to the roadmaps.
A hands on player coach mindset, keen to code and dig into data, review PRs, and drive process, standards, and best practices to get high quality and impactful tools, models, and data products into production.
A growth mindset: own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Interest in and experience with one or more of agriculture, environmental science, agronomy, climatology and/or geospatial data in some form is a big plus.

Minimum Qualifications:

Track record of delivering actionable insights, and impactful productionized models and data products
Fluency in Python and SQL
Experience initiating and driving projects to completion with minimal guidance
Demonstrated experience in hiring, retaining, and scaling high-performing teams

Preferred Qualification:

Ph.D or Masters or a Graduate Degree in Computer Science, Math, Statistics, Physics, Engineering, or related quantitative field
Experience in a startup environment

Benefits:

Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
401(k) plan

Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.
#LI-RO1


Associate Data Scientist Provider

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.The Provider team is building data-driven products for healthcare practitioners to help them improve patient care and reduce costs. The Provider data science team uses machine learning models, natural language processing (NLP), and patient medical histories to group similar patients together and better understand common medical care journeys.Responsibilities Perform exploratory data analysis Collaborate with data engineers to test changes to existing data processes and report findings Assist in feature engineering Assist in data quality assessment Utilize and optimize existing NLP models and assess quality of their output Understand and maintain data pipelines from raw sources to feature stores for models Ability to communicate within the team on project status / blockers to get help when needed and render aid when able Ability to adhere to security and data protection policies  High quality documentation of work  Ability to collaborate with colleagues, management, and clients to solve complex problems Ability to maintain focus and a positive outlook in a fast-paced and changing environment where team success is not judged on delivering the “perfect” model, but on continuous model improvement  Bachelor’s degree in computer science, math, or a STEM discipline Experience with SQL  Experience using Python for data science and machine learning  Experience with source control for code (Git preferred) Preferred skills 1-2 years post-graduate training or similar post-grad work experience in data science or data engineering Familiarity with healthcare data Experience with cloud-based compute (AWS and/or Spark preferred) Understanding of natural language processing (NLP) concepts and/or a history of using NLP python packages (NLTK, HuggingFace, spaCy, SparkNLP, etc) Experience writing regular expressions (regex) Experience with Agile development, continuous integration, testing, deployment & release methodologies Familiarity with HIPAA and the importance of privacy of patient data At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own. Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents Monthly Grid stipend to cover work related expenses Unlimited PTO Telemedicine EAP/Mental health resources Getaways by Marriott Bonvoy Family-building and fertility support via Kindbody 12 weeks of parental leave 401(K) match Wellness program Stock Options


Decision Science Analyst Senior

Purpose of Job
We are seeking a talented Decision Science Analyst Senior for our San Antonio, TX, or Phoenix, AZ facility. 100% Remote work environment also available.
USAA values a culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home when needed to achieve focused results. The actual days' onsite are resolved between each employee and the employee’s manager.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.  This role works in an area of high visibility and requires excellent collaboration skills and attention to detail.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.
We're proud of USAA's strong history -- and we're even more passionate about our future. That's why we have a team of supportive and collaborative hardworking technology professionals focused on doing more for our members. And why we're continuing to add innovative problem solvers to our team. With us, you'll find exciting challenges that inspire you to continue learning and growing.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
Minimum requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred experience:
Strong SQL experience.Fundamental governance and risk knowledge relevant to banking, insurance, or investments (FFIEC, OCC, etc.)Ability to generate forecasts and apply advanced analytics to business problems.Time Series Analysis to illustrate key business metrics, e.g., Employee Scorecard.Strong soft skills and demonstrable experience bridging the gap between analytic means and the ends non-technical stakeholders required
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $97,200.00 - $175,000.00*
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.


Senior Data Scientist

The Team and Role
Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to use state-of-the-art machine learning techniques and open-source big data processing tools.
As a Senior Data Scientist, you will be responsible for:

Creating mathematical and data driven solutions for difficult problems at scale
Developing, maintaining, and monitoring the performance of production quality code
Becoming the domain expert for one business segment in the Angi organization
Communicating project results and insights with stakeholders across Angi

Team members in this role are successful when they have a Master’s degree or PhD in Statistics, Applied Mathematics or similar quantitative field and/or 3+ years of experience in:

Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning
Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver transformation through data
Developing predictive models and analysis using R and/or Python
Interacting with data using SQL
Deep knowledge of machine learning and data mining algorithms
Bonus points if you’ve worked with ML frameworks like Tensorflow and have familiarity with Git, Docker or AWS

Compensation & Benefits:

The salary band for this position ranges commensurate with experience and performance. Compensation may vary based on factors such as cost of living
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs
Flexible vacation policy; work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

#LI-Remote
#BI-Remote


Sr Data Scientist

Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video lovers around the globe. The Business Intelligence (BI) team is dedicated to create efficient cross-functional processes and enable data-driven decisions across product, sales, finance, marketing, support and customer success. Vimeo is seeking an experienced Leader for our Client Strategy & Insights team. You will partner closely with our Enterprise clients and Account Management team to develop and manage client-specific reporting and insights. In this role, you will be responsible for understanding our client’s unique data needs and interpreting those in the context of our internal reporting systems and databases. This role is ideal for a data expert and self starter with experience in the disparate worlds of both working with clients and analyzing data.
What you’ll do:

Become a Vimeo data expert, working directly with clients or account managers to manage their reporting needs
Build and maintain reports and dashboards using SQL and our BI tools, specifically Looker, to be delivered to clients, providing more depth and transparency
Create and build Dashboards and Model to help expose key business trends
Partner with key business stakeholders to forecast input metrics across the business that ultimately drive booking.
Work with the Product, Engineering, and BI teams to ensure integrity and consistency in our data offering

Skills and knowledge you should possess:

7+ years experience understanding, packaging, and communicating data for clients in a clear and concise manner
Proficiency in general database knowledge and tools, with specific background in SQL
Experience working with developer tools including third party APIs
Accustomed to driving results in a collaborative, fast-paced environment
Attention to detail and organization, with the ability to prioritize effectively and toggle between long-term goals and short-term tasks
Experience working with clients, and working with analytics and engineering teams

Bonus points (nice skills to have, but not needed):

Experiencing writing code to integrate third party APIs into our analytics products, specifically Looker
Python skills would be lovely
Experience with SaaS business metrics, video technology, specifically in OTT or live streaming, is a massive plus
Nice to have: Working knowledge of Redshift and Snowflake data warehouses


Sr Data Scientist Product

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.We’re looking for an experienced Data Scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission.
Responsibilities:

Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization.

Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc.

Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals.

Act as an owner: It’s not done until it’s in production.  Adept at moving projects forward and able to unblock projects regardless of the role on the project.

Do less, deliver more: Familiar with the terms YAGNI and yak shaving?  Focus your efforts on high impact initiatives that really move the needle.

Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”.  Each line of code is an opportunity to blend craftsmanship with playfulness.

Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand.

Stay on your edge: Continuously learning and applying emerging technologies.  Pushing yourself and your team to new heights.

Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights.

If you have some or all of the following please apply:

Bachelors Degree or Masters Degree in Computer Science or related Engineering field preferred
5+ years of relevant industry experience, at least part of which in a startup environment
Succeeded in a remote work environment

Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc.

Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc.

Experience with Transformer-based models for language and vision
Effective analytical presentation skills using living Jupyter notebooks and static presentation formats
Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production
You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis
Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus
Experience with multimodal systems, RecSys, and personalization is also a plus
Strong verbal and written communication
Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.)

Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Full coverage for medical, dental and vision insurance
Employer Paid Life, AD&D, STD and LTD insurance
Flexible paid time off
Per year:

13 paid holidays

4 BetterUp Inner Work days (https://www.betterup.co/inner-work)

5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote


Sr Data Scientist

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. Come build the future of data at BetterUp!  We are looking for an experienced Sr. Data Scientist to join our team.  At BetterUp we believe that data is critical to our success.  If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.
What you’ll do:

Be an embedded analyst on our Direct to Consumer squad and help them drive product growth through a deeper understanding of our members
Conduct data deep dives to continue to learn new truths about the member experience.  Present your findings to the squad with key recommendations on the next steps that will help drive future product strategy
Partner closely with Product Managers to understand their needs and goals and ensure to cascade critical information they need to know about what is possible with our data
Partner closely with data engineering to design new data models that serve to provide data on each critical part of the experience
Help drive A/B testing strategy including design, analysis and iteration
Create statistical models to better understand the drivers behind members’ usage and personal growth
Translate complex results to non-technical audiences and help use data to inform the product strategy
Build strong relationships with other analysts to ensure we leverage each other's learnings and research
Reports to the Director of Product Analytics

If you have some or all of the following, please apply:

5-7+ years of experience programming with SQL, LookML, and Python / R
Previous experience with Looker and Amplitude, or similar tools
3+ years of experience analyzing consumer / subscription data for a D2C company
Previous experience designing and analyzing A|B tests
The ability to translate complex results into strategic recommendations (both written and verbal)
A self starter that can jump right in and quickly add value
A natural ability to think like an owner
A problem solver that thrives on solving new and complex problems

Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental and vision insurance
Flexible paid time off
Per year:

All federal/statutory holidays observed
4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks

Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote


Applied Research Scientist

Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In October 2020, we took a huge leap forward by launching a cloud based collaborative video editor and a screen recorder.  We have built and shipped some key technologies like voice cloning, one-click speech enhancement, etc.  to help us realize our vision. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $50M from some of the world's best investors like Andreessen Horowitz, Redpoint Ventures and Spark Capital.

We need great people to help us build these cutting-edge technologies and guide its development. In particular, we’re always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.

Some of our research publications:

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP

Responsibilities

Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
Contribute to designing the research roadmap of the company
Train and mentor other members of the team.
Own the research function of specific product features.

Challenges

As a core member of our research team, you'll play an integral role in challenges such as:

Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
Creating realistic voice doubles using only a few minutes of audio.
Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
Coming up with new research directions to improve our product

Requirements

Proven experience in designing and implementing deep learning algorithms.
PhD or Master’s degree specialized in Deep Learning or equivalent experience.
Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
Good programming skills and experience with deep learning frameworks.
Ability to generate more ideas than you can implement.
Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
You wish you had more GPUs to run all the experiments that you wanted!
You know Pytorch/Tensorflow inside-out
We do not require domain-specific knowledge in computer vision or speech-processing

At least one of the following must be true for the applicant to be considered:

Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
Played a key role in shipping a feature in production which uses deep learning as a key component.


Senior Product Data Scientist

Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Product Data Scientist at Rec Room, you will be responsible for a large strategic area and will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform broader team strategy and impact their short and long-term roadmap. You'll be equal parts leader, investigator, and storyteller, shaping experiences towards delighting players and building a sustainable business.
As we scale, Product Data Scientists will embed within individual teams, and as the Senior Product Data Scientist, you would be expected to drive product thinking at the broader team level and guide other data scientists as needed. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:

Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Define top-level business and team KPIs, establish learning agendas, measurement plans, and success metrics in close coordination with the product team.
Work with teams to build a culture of goal setting and accountability.
Drive changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.

WE ARE LOOKING FOR INDIVIDUALS WITH:

5+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
A Bachelor’s or Masters in Math, CS, or related field
Significant expertise in experimentation methodologies
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights

COMPANY INFO TO KNOW:
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Product Data Scientist

Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Product Data Scientist at Rec Room, you will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform the kinds of features and products we build. You'll be equal parts investigator and storyteller, shaping experiences towards delighting players and building a sustainable business.
As we scale, our Product Data Scientists will embed within individual teams, allowing you to develop deep context and empower you to provide strategic value. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:

Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Develop and validate hypotheses to further our understanding of user needs.
Propose changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.

WE ARE LOOKING FOR INDIVIDUALS WITH:

A Bachelor’s or Masters in Math, CS, or related field
3+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights

COMPANY INFO TO KNOW:
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Director Data Science Global Non Price Predictive Modeling Western European Market

GRM Actuarial – Global Non-Price Predictive Modeling (NPPM) is searching for a highly motivated Director II, Data Science who is eager to make an impact on the very complex and evolving global insurance industry. As the manager of the Western European Market (WEM) NPPM team, you will provide analytical direction for a team of data scientists across Spain, Portugal and Ireland. You and your team will develop, integrate and champion the use of predictive models and analytical tools to enable data-driven decision making and help Western European Market achieve their profitability and growth goals. This role requires broad knowledge of predictive modeling techniques, and advanced application of those techniques to a variety of business issues. This is a highly visible role that will connect often with WEM leadership, senior management and other groups across Liberty Mutual. You will provide analytical assessments of business issues and recommendations to management and a mixture of technical and non-technical audiences so good communication skills are essential.
Responsibilities:
Inspire, manage, coach and develop a team of up to nine data scientists located in Spain, Portugal and  Ireland.
Collaborate with business partners in WEM to develop and adapt statistical approaches, models and tools to meet market conditions, drive strategic decision making, and address problems facing the operations.
Understand the competitive marketplace, business issues, and data challenges in WEM to deliver actionable insights, recommendations and improve business processes.
Supervise, develop, implement and monitor a variety of modeling solutions to complex problems that drive change across WEM.
Present findings, share insights, and make recommendations to WEM Leadership that impact profitability, growth and/or customer satisfaction.
Effectively communicate results, insights and recommendations in written, oral and presentation formats to technical and non-technical audiences.
Live our Values, create a culture of innovation and collaboration, and proactively seek out all forms of diversity.
Regularly engage with LM data science community and cross-functional working groups.
Expected global travel: 10-20%
Job Specifications:
Reference:  2022-48105
Category: Analytics
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$172,900.00-–-$227,500.00-/-Year
Education Level:
 Travel: 25%