Data Science Manager Finance

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.
You’ll spend most of your time collaborating closely with business partners in accounting, product, engineering, finance and data science teams — to ensure we’re supporting the biggest business opportunities. You’ll spend your time leading a team of Data Scientists building models and systems that help scale our data deliverables. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. You will drive large scale projects and manage complex and time sensitive deliverables.
What you’ll be doing (ie. job duties):
Manage a team of data scientists partnering with a cross functional team of engineers, designers and product managers who are building and improving Coinbase’s core trading features
Help set goals and metrics to guide and prioritize product roadmaps
Design experiments to measure the impact of new product features
Scale data-informed decision making through ETLs and reporting dashboards created by your team
Identify opportunities to help inform the strategic direction of our fast growing business
Guide data scientists in their technical and professional development
Work closely with recruiting and other data team managers to help grow the team
What we look for in you (ie. job requirements):
3+ years of experience in managing other team members in a formal or informal capacity
5+ years of experience doing quantitative analysis at a technology company,
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Demonstrated ability to distill insights into strong product recommendations and utilize experimentation to test any data-led hypotheses
Experience communicating the results of analyses to leadership teams to influence the vision and roadmap of the company
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
(G1873)
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, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (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
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Senior Data Scientist Finance Data

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.
Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money.
You’ll spend most of your time collaborating closely with business partners in accounting, product, engineering, finance and data science teams — to ensure we’re supporting the biggest business opportunities. You’ll spend your time with the Data team building models and systems that help scale our data deliverables. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship.
Work across multiple subject matter experts to drive new data initiatives, supporting new product launches, and building and automating reports
Establish best practices in implementation of data models, pipelines and reporting.
Act as a strategic partner to functional teams; initiate and execute on data projects to help prioritize opportunities and provide actionable recommendations
Collaborate with stakeholders in US and Japan to define requirements; design and scope project plans; execute, test and implement data and reporting solutions
Work with the broader Data team to find ways to scale our platform through better systems and automation.
Develop core metrics and management dashboards to track and understand them.
What we look for in you (ie. job requirements):
4+ years of relevant experience
Self starter, has the ability to multitask, and able to excel with minimal guidance
General experience working with data systems
Experience with data processing (ETL), SQL and Python programming language.
Strong understanding of key finance business processes (e.g. Accounting, Treasury processes) and products
Be able to independently create documentation for new data projects and requests and build collaboration within the team.
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution.
Highly collaborative, with an ability to optimally secure inputs from many cross-functional teams
Bachelor’s Degree in Computer Science or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage
Previous experience working with financial services data is a plus
Domain experience in Accounting and Finance areas
Experience with Looker, Tableau or other business intelligence platforms
Experience manipulating large amounts of structured and unstructured data.
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
(G2129)
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, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (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
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Senior Data Scientist Brand Marketing

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 scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams — to ensure we’re focused on the biggest opportunities and leveraging data to meet business objectives. And you’ll spend the other part of your time with the Data Science team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Identify data, metrics and analyses needs for marketing  partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Design experiments in partnership with marketing leadership to drive growth and identify optimal marketing executions. Partner with Insights & Research to perform analyses and build models to understand customer behavior and extract insights that impact marketing decisions and beyond
Synthesize data findings into compelling stories and communicate them throughout Coinbase.
Act as a strategic partner to Marketing team and Coinbase executives; initiate and execute on data-driven analyses to help prioritize opportunities and provide actionable recommendations
Prototype new analytics & machine learning models that improve both our insights and the product directly.
Work across multiple subject matter experts to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team.
Lead analytics projects to completion.
Work with the broader Data team to find ways to scale our insights through better systems and automation.
What we look for in you (ie. job requirements):
5+ years relevant experience
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Experience with marketing analytics, attribution models, and cross-channel experimentation
Understanding of statistical concepts and experience in applying them.
Experience in data analyses using SQL.
Experience in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark, or Perl).
Be able to independently create plans for analytics projects and  build teamwork within the team.
BA / BS degree or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics areas.
Experience manipulating large amounts of structured and unstructured data.
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, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (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
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Senior Manager Data Science

Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do

Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.

Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.

How You’ll Do It

Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.

Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.

Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.

Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.

Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.

Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.

Qualifications You’ll Need
The Basics

Bachelor’s Degree in Analytics, Engineering, Statistics or related field

8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field

2+ years of experience in People Management

Bonus Points If You Have

Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field

6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field

What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Principal Data Science Discover Student Loans

Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities

Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.

Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.

Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.

Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.

Minimum Qualifications
At a minimum, here’s what we need from you:

Bachelor’s Degree in Analytics, Engineering, Statistics or related field

6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

Preferred Qualifications
If we had our say, we’d also look for:

Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field

4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

#Remote
#BI-Remote
#LI-CP1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Principal Data Science

Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You'll Do:
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve
tor performance metrics and KPIs to ensure goals are met and course correct as necessary.
How You'll Do It:
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
Delivers effective presentations of findings and recommendations to multiple
business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitors levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
What You'll Need:
Minimum: 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related.
Preferred: 6+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related.
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Senior Manager Data Science

Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
·                   Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
·                   Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
·                   Manage a team dedicated to building analytics insights for the contact center operations to support the work of Discover front line, partnering with dedicated customer experience teams outside of our organization, as appropriate
How You’ll Do It
·                   Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, algorithm & recommendation to solve business problems.
·                   Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
·                   Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.
·                   Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
·                   Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
·                   Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
·                   Bachelor’s Degree in Analytics, Engineering, Statistics or related field
·                   8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
·                   2+ years of experience in People Management
Bonus Points If You Have
·                   Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
·                   6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Data Scientist Product

Who we are

Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do.  Who we are is a different story.

We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly.  We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act.  Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.

We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.

Do you see yourself here?  Read on.

Who you are

You have a solid foundation in Data Science, efficient and thorough EDA habits, can work in Python and SQL, and experience collaborating on a code base. You have built batch processes that drive outcomes for end-users. You have utilized time-boxed experimentation to improve business value.

You use the Data Science community to inspire you and look forward to learning new approaches and applying them to your specific text. You are driven to understand what individuals are looking for when they come to Drizly.

You know how to combine individual signals and events into a coherent and actionable intent.   You effectively communicate your data-driven understanding of our users to different audiences across the organization.

You thrive in an environment of innovation; where best practices and referenceable design patterns may not exist entirely in literature.  You enjoy collaborating with both data scientists and product  teams to co-design new systems to drive business outcomes and new consumer experiences!

What the role is

As a Production Data Scientist, you will be building algorithms that give us a deeper understanding of our users. You will create new experiences for users on the Drizly core platform and drive business outcomes. You will dive deep on behaviors of individuals and distill what next steps we need to take to improve those experiences. Your algorithms will interact directly with our stack and will need to be designed to align with our systems.

You will collaborate with our Product, Design, and Engineering teams to ideate, design, build, and measure new and improved products.

You will contribute to our codebase in Python, dbt, and Databricks.

In this role you will:

Design and build personalization products that drive unique consumer experiences (platform features and/or real-time personalized advertising experiences)
Extend and improve our recommendation system to map to more intent models
Co-design enhancements and reuse of reinforcement learning framework for hyperlocal personalization
Participate in data science roadmapping sessions to co-create new opportunities to leverage ML do drive consumer, retailer, and brand experiences
Build algorithms within an evolving and performant machine learning stack

The Other Stuff:

Competitive Salary
One-on-one professional coaching with an external expert
Health, Dental and Vision Insurance
Flexible vacation policy
401(K) Plan with Employer Match
Added perks

You do you.

Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status

For Colorado-based roles: The salary/hourly rate range for this role is $93,900 per year - $110,500 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.

BEFORE YOU APPLY...

We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Additionally, you must reside in the United States to be considered for this position.

Identifying information includes your name, photos, LinkedIn URL, email address and more.


Data Scientist Field Ops Consumption Forecast

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Role:
We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Partnership Ecosystem. This person will work closely with our C-suite executives and operation teams to develop and deliver high quality reporting, insights, and recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.

What You Will Do:

Partner with Finance, Customer Solution Group Leadership, Strategy & Ops business partners to build, iterate and operationalize customer consumption forecast model that’s driven by machine learning
Design and help implement reliable and scalable data foundations and ML infra to support the model production
Integrate the model output to Finance’s revenue forecast. Support and enable finance team’s forecasting to be more consumption driven
Mentor and lead junior data scientists on the team
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

What You Will Bring:

Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
3+ years of experience in data science and/or machine learning domain. Excellent data manipulation skills, proficiency in SQL.
Extensive experience in statistical/machine learning model development with Python or R
Experience visualizing data and building dashboards. (eg. Tableau, Looker, etc.)
Strong problem solving skills and ability to translate business requirements into analytical questions
Effectively communicate model methodology, insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Gives You an Edge:

5+ years of experience in data science and/or machine learning domain.
Experience and/or knowledge in driving consumption based business model in a B2B environment
Experience and/or knowledge in forecasting, customer churn model, anomaly detection, etc.
Experience working in GTM function at a SaaS company, e.g. key go to market funnel optimization, customer insights & retention, etc.

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Manager Data Science

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper-growth company.

About the Role: As a member of the Growth and Marketing Data team, the Growth and Marketing Data Science Manager is responsible for building and managing a team of talented data scientists and B/I developers in India. With your team, you will work across the Marketing organization to build data products and provide insights to inform marketing strategy. This role requires strong technical skills, business acumen, excellent communication skills, and leadership to succeed.

What You Will Do:

Hire, manage and grow a team of 3-5 highly skilled data scientists and B/I developers
Manage employee career development by providing coaching and mentoring to team members and guiding them to increase their potential. Provide continuous performance feedback, collaborate with employees on their objectives, and provide a clear path for progression through personal development plans.
Collaborate with Marketing partners and data science leads to drive the roadmap, prioritize, and manage staffing against key initiatives.
Serve as a liaison between the Data Science leads for each area and the team in India to ensure the business context, priorities, and strategic focus are well communicated, understood, and reflected in the projects
Be hands-on to develop data-driven business insights and work with the team and cross-functional partners to identify opportunities, drive Marketing strategy, planning, and execution.
Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Marketing partners and Data Science leads
Provide rigorous technical mentorship to the team and institute development best practices to ensure the team produces high-quality deliverables.

What We're Looking For:

Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
+7 years of experience in data science and analytics
+1 years of experience managing a team of data engineers, data scientists, and/or machine learning engineers.
Strong proficiency in SQL and Python (or R) (+7 years of experience)
Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)
Strong knowledge and experience in quantitative modeling, statistical analysis, experimental design, and applied statistics (i.e. A/B testing) in an industry setting
Project management skills - Ability to drive projects end-to-end
Clear verbal and written communication skills. Demonstrated evidence of building lasting relationships with the team and business stakeholders.
The ability to communicate cross-functionally, derive requirements, and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Give You An Edge:

+10 years of experience in data science and analytics in a fast-paced environment
+3 years of experience in managing a team of data science professionals
Experience working with Go-to-Market or Marketing domain: web analytics, attribution, Marketing funnel, channel optimization, LTV modeling, etc.

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Data Scientist G M India

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Team:

The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper-growth company.

About the Role:

As a member of the Growth and Marketing Data team, the Growth and Marketing Data Science Manager is responsible for building and managing a team of talented data scientists and B/I developers in India. With your team, you will work across the Marketing organization to build data products and provide insights to inform marketing strategy. This role requires strong technical skills, business acumen, excellent communication skills, and leadership to succeed.

What You Will Do:

Define Marketing success metrics, build/maintain dashboards to monitor the health of our marketing, and understand changes to our KPIs
Partner with Marketing teams and operation partners to solve problems and identify trends and opportunities by analyzing data and extracting useful Marketing insights
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

What We're Looking For:

+ 2 years of experience in data science and analytics
Strong proficiency in SQL and Python (or R) (+1 years of experience)Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)
Experience visualizing data and building dashboards. (eg. Tableau, Metabase, Looker, etc.)
Strong problem-solving skills and ability to translate business requirements into analytical questions
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
The ability to communicate cross-functionally, derive requirements, and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Give You An Edge:

Experience and/or knowledge in experimental design and applied statistics (i.e. A/B testing) and machine learning in an industry setting
Experience in developing measurement across marketing activities
Experience working with Go-to-Market or Marketing domain: web analytics, attribution, Marketing funnel, channel optimization, LTV modeling, etc.

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Director Of Data Science

About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

-Bring a sophisticated leadership practice to data science at Tala, and in data organization and the tech organization more broadly; have an effective POV when it comes to decision-making, communication, performance management, and partnership with the business.

-Work directly with peers in the tech, business, product, and finance organizations to ensure data leads to business impact.

-Create and communicate a technical vision that inspires your team and rallies the business around new investments in data science.

What you'll do

Identify, grow, and lead best-in-class talent in data science, experimentation, and machine learning research.
Build a strong culture of execution and ownership where impact is paramount.
Have passion for the Tala mission and ensure data practices align with the spirit of financial inclusion and robust stewardship of our customer’s data.
Make the right investments in infrastructure the company needs to scale, especially our suite of ML models that power Tala.

Qualifications

Strong track record in hiring and inspiring high-performing technical talent
Experience with financial services or consumer internet
Fluency in industry-leading techniques in the data domain, including experimentation and ML
Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring.
High level of statistical competency, knowledge of experimental design and analysis.
Holistic leader across technical depth, technical breadth, and broad leadership skills
Demonstrated ability to cultivate a strong execution and ownership-oriented culture
Inclusive leader who fosters an environment of candor, humility and passion

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.


Data Science Lead

We're looking for a Data Science Lead to partner with the Director in establishing world-class systems and processes for the Data Science efforts at Antenna. You will have the opportunity to advance our most important initiatives because of your detailed diligence in managing our models, designing new models, and proactive collaboration with the Product team.
You will report to our Director, Data Science. Antenna is remote-empathetic and welcomes applicants from anywhere in the United States.

What You’ll Do

As a Data Science Lead, you will act as a liaison between the data science team and our product management, data operations and engineering teams to deliver our next generation solutions

Ensure that our data science models are developed with scientific rigor and carefully maintained
Ensure reliable, accurate, and on-time delivery of our data solutions
Communicate with internal stakeholders & customers about any disruptions to our delivery, as well as the planned remedies to correct them

As a Data Science Lead, you will be expected to

Develop data models to ensure the quality and trendability of our reports
Develop a solution to identify errors, outliers and trend breaks in support of the efficiency of our data operations team
Maintain and improve existing solutions to reflect the constantly changing environment of subscription services
Institute standard operating procedures around our existing models to ensure stability and reproducibility of the data
Provide a data science perspective on the design of data architecture required for our existing and future products
Assess new data partners by evaluating the quality and usability of new data sources for future development. Also, design the initial versions of data models needed to incorporate new data sets

As a Lead, you will also be expected to provide technical mentorship to other team members and help recruit data scientists to our fast growing team

Who You Are

5 years of experience in applied data science and analytic methods (data regression, AI, classification, time series, etc)
Advanced programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas Pyspark. Familiarity with Google Cloud
Proven experience in balancing practical business requirements and scientific rigor
Proven technical leadership to identify, develop, implement and maintain data driven solutions
Proven track record of successfully managing internal and external stakeholders through respectful candor, proactive communication, etc.
Comfortable with change and ambiguity and knows how to effectively prioritize time and resources
An affinity for our customers — consumer subscription brands
Bonus: experience managing, mentoring, or coaching data scientists and engineers
Bonus: experience in market research, marketing technology, or digital advertising
Bonus: experience in product analytics

Antenna Tech Stack:

Engineering: python, SQL, Google Cloud (Storage, Dataproc, BigQuery), git
Data Science: Pandas, pyspark

Data Engineering: pyspark, postgres, redash, django, kubernetes, redis, prometheus, data pipelining experience


Data Science Lead Marketplace

About Hipcamp
Hipcamp unlocks access to private land, creating new places for people to get outside and go camping, glamping, or RV’ing. We believe that spending time in nature is essential to a happy and healthy human life, and we are deeply passionate about our mission to get more people outside. We are proud of the impact Hipcamp creates by making nature more accessible, providing income to support the protection of private land, and creating community across the urban rural divide.

Hipcamp’s mission is to connect people with the magic of the outdoors. We make Hipcamp successful by understanding our users and inspiring them to engage with our platform.

About the Role
Hipcamp is looking for a founding Data Scientist to build out our marketplace data science initiatives. In this role you will lead data science on a multi-disciplinary team of engineering, product management and design. This is a perfect role for someone with experience that wants to take the lead and shape the vision for how Hipcamp matches campers and hosts.

What we're looking for

Machine Learning
You will have the opportunity to fundamentally shape our use of machine learning.  Building both machine learning models embedded directly in our product and in models used to optimize our business.  The range of possible algorithms is broad therefore it is important that you understand when it is appropriate to use a given technique and understand the statistical methods used to assess your results. You will have experience and strong opinions about how to build an ML practice and you will be supported by our  staff, product, and engineering team. You will build and hire a team to build the data science platform that runs Hipcamp. You will drive transformative business outcomes.

Leadership
You lead others and have strong opinions about how data science can impact our business. You will work closely with staff, product and engineering teams to define the strategic roadmap. You will build a team to execute on that vision guided by hard results. You'll iterate efficiently and by doing so your work will have long lasting impacts on the business. You will build trust and influence throughout the company and be a champion for objectivity. You will reveal patterns and build systems that lever up all of our efforts.

Experience
Ideally you have experience applying data science broadly to business challenges and have delivered impact.  E-commerce or two-sided marketplace experience not required but preferred. Experience with designing and deploying online models at scale ideal. Experience designing recommendation systems and personalized product experience from scratch.  Experience working with stakeholders and influencing strategy required.

About our Work Environment

Compensation will be a mix of salary and stock options. We are a 100% remote company post Covid-19.

Health is essential to happiness. In addition to full health insurance, all team members receive a monthly wellness stipend and $1K in Hipcash because we believe getting outside is excellent preventative medicine in addition to increasing your creativity, lowering your stress, and making you an overall more awesome human.

We focus on results, not hours. We believe that clearly defined goals combined with great people, empowerment, and autonomy create the best results. We feel confident that inclusive and diverse teams working on an important cause can accomplish extraordinary things.

Hipcamp is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. In fact we are confident that the most inclusive and diverse teams accomplish the most extraordinary results.


Data Scientist

Button’s mission is to build a better way to do business in mobile. Today, we work with some of the largest and most interesting businesses in the world to connect consumers with what they want at the tap of a button. We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it.

Button is a data-driven company committed to harnessing the power of data and machine learning to build the very best products for mobile commerce. As a Data Scientist you will continue the tradition of data-driven product innovation by working closely with engineers and product managers on existing and nascent products for the mobile economy. Within product and engineering you will evangelize mathematical approaches to measurement and analysis and make our organization stronger in the process.

Button is based in NYC and has employees distributed throughout the US and UK. This position is for NYC or Remote. #LI-Remote

As a Data Scientist you will:

Contribute to the design, testing, and iteration of the machine learning algorithms that form the backbone of Button’s PostTap SMS and App products
Work with our data warehousing systems to design, build, and maintain analyses and performance visualizations for key customers, major product initiatives, and other internal needs.
Work closely with engineering to design and implement A/B testing of consumer and customer facing product features

We look for teammates who:

Are able to work independently and take initiative in a fast-paced environment
Have an insatiable desire to sharpen your skills in analytics, communication, product, and strategy
Are confident contributing to products and deliverables in collaboration with experts in engineering, product, and sales

Experience level:

Skilled in Markov Decision Processes and Bayesian Statistics
Proficiency in Python
Experience with linear algebra, Monte Carlo methods, SVM, Model Selection, and optimization
Familiar with both SQL and NoSQL databases
Comfortable with AWS, distributed computing, and large-scale data sets
A desire to produce production level code and contribute to the engineering codebase
Excellent interpersonal, written, and verbal communication skills

Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

To read more about what personal information we collect on your behalf and for what purposes we use such information, click here.


Director Of Data Science And Analytics

TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.

TaskRabbit is a remote-first company with employees distributed across the USA!
builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020

About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Science, Machine Learning, and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Director of Data Science, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will help enable data-first culture, and elevate data-first to insight, strategy and impact focus as well as instrumentation and tracking measurement by establishing metric governance ground work as a foundation to enable our new capability in becoming more analytically matured data science team - moving from using descriptive analytics (“what happened”) to prescriptive analytics (“what is the best that could happen?”).
You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
Responsibilities:

Foster a data-first culture of innovation, collaboration, and delivery
Manage, attract, hire, train, and develop a group of data scientists and analysts
Participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships  and facilitate data-driven decision making across the organization
Lead a team to deliver data science projects, including statistical and predictive models, insights, and dashboards, to support business and achieve goals

Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

Visionary with a strong desire to lead, learn, implement and adapt
MS or above in Statistics, Computer Science, Engineering, Operations Research, or a related quantitative field
5+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture

8+ years of real-world industry experience in building predictive and statistical models, delivering compelling communication of data-driven insights and analyses, and guiding data-influenced product and business planning, prioritization and strategy development

Has successfully led teams of 5+
Has led the organizational development and rapid growth of data science functions; strong ability to identify, hire, inspire, and scale a world-class data science team, particularly in a marketplace environment
Experience defining and implementing data and technology strategies
Experience working across multiple functions and business units in collaboration with leadership across the organization
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods

Ability to translate high-level business objectives into actions, and experience executing on both long term and short term goals

Excellent interpersonal skills, ability to manage, mentor, and motivate a team
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus

Bonus Points

Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen

We're looking for people that have a passion for data, technology, and problem-solving with the ability to excel in a fast-paced environment

You're familiar with the marketplace, our product and have some ideas on things you'd want to add or change!
Success leading and building teams in marketplace platforms

About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.

Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.

Lead The Future Together. We value entrepreneurship and are inspire by action.

The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.

The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,  generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office

Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.


Manager Data Science And Analytics

TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.

TaskRabbit is a remote-first company with employees distributed across the USA!
builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020

About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning, and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Data Science and Analytics Manager, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will help enable data-first culture, and elevate data-first to insight, strategy and impact focus as well as instrumentation and tracking measurement by establishing metric governance ground work as a foundation to enable our new capability in becoming more analytically matured data science team - moving from using descriptive analytics (“what happened”) to prescriptive analytics (“what is the best that could happen?”).
You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
Responsibilities:

Manage, hire, train, and develop a group of data scientists and analysts
Enable data-first culture, and participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships  and facilitate data-driven decision making across the organization
Build statistical and predictive models, reports, and dashboards to support business and achieve goals

Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

MS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture
6+ years of real-world industry experience in building predictive and statistical models including regression, classification, forecasting, and clustering

Has successfully led teams of 3+

Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods
Ability to translate high-level business objectives into actions
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus

Bonus Points

Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology, and problem-solving
You're familiar with the marketplace, our product and have some ideas on things you'd want to add or change!

About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.

Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.

Lead The Future Together. We value entrepreneurship and are inspire by action.

The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.

The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,  generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office

Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.


Senior Data Scientist

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Senior Data Scientist will hold an advanced quantitative degree with experience building recommender systems, matching, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:

M.S. or Ph.D. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Previous experience with production models, i.e. post-deployment responsibility
Relentlessly curious and strong bias for action.
Great communication skills
Ability to develop ML or statistical analyses software in R or Python

Responsibilities:

Develop algorithmic systems to enable personalization for our learners and instructors.
Partner with product, marketing, operations, and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms

Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:

Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Plan
Remote Position, fully work from home (or wherever you like!)
Flexible PTO plus a floating holiday
Paid VTO ("volunteer time off" to do community service/charity work)

52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home program

Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture

Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)


Senior Data Scientist

About Rhythm
Rhythm is a renewable energy and technology company empowering you to take control of your budget and your footprint.  We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated with the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, businesspeople, designers and artists who love solving tough problems, all while making a positive impact on our communities.
Key Qualities
Problem-Solving Sophistication, Creativity, Thought Leadership, Technical/Theoretical Know-How, Self-Starter, Collaborator, Strong Communicator
The Why
Senior Data Scientist will build predictive models that provide key insights into customer and energy market behaviors, allowing Rhythm to present the best green energy products to their customer base, while providing outstanding customer service and value as an energy provider.
The What

Execute complex analytical projects to extract insights and create business value from consumer and market data, improving customer experience, new product creation, portfolio management, business expansion, and other parts of Rhythm’s business.
Translate business stakeholder needs into technical analyses and/or solutions with an emphasis on creating rapid impact
Creatively pursue new data sources and/or modeling techniques that can improve predictive power and insight of existing models
Work closely with software and data engineering teams to build out systems required for collecting, structuring, and modeling data, as well as ensuring data quality and integrity
Actively advocate for, and ensure that AI/ML and predictive models drive decision-making throughout the business
Own the design, development, thorough testing, and monitoring of your analytics models
Be an expert that teams across the business can rely on for data insights and analysis

The How

5+ years of experience in data science, with a demonstrated ability to turn business problems into robust data science solutions
Outstanding analytical capacity, deep curiosity, creativity, willingness to learn, and a strong drive to impact business outcomes
Deep understanding of statistics and machine learning fundamentals, with a preferred focus on time series analysis, multivariate regression and segmentation problems; advanced degree in a quantitative field preferred but not required
Strong working knowledge of Python and relevant data science tools such as pandas, numpy, sklearn, tensorflow, etc.
Familiarity with a modern cloud-based ecosystem as used to manage data, train and deploy machine learning models (e.g. AWS, Snowflake, Redshift, Databricks, MLflow, etc.)
Strong communication and data presentation skills, including ability to explain data science model outputs to a broad group of customers and stakeholders
Familiarity with BI tools such as Tableau or Power BI preferred
Experience in retail energy analytics, including wholesale pricing or product structuring is highly valued

Geography:
• Rhythm is headquartered in Houston, Texas. This position can be either located in our headquarters in Houston, TX or can be fully remote.
Compensation and Benefits:
• Competitive base salary and bonus• Complete benefits package, including unlimited PTO, Medical, 401k, HSA/FSA, etc.