CrawlJobs Logo
Robinhood Logo Robinhood · IT - Software Development

Data Scientist, Product

United States, New York 179000.00 - 210000.00 USD / Year · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

Join us in building the future of finance. Our mission is to democratize finance for all. As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers. We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.

Job Responsibility

  • Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
  • Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
  • Define and maintain key product performance metrics
  • build scalable dashboards to monitor these metrics and advise decision-making
  • Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
  • Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
  • Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
  • Assist with established methods, standard approaches, and promote a data-informed culture within the organization

Requirements

  • Proven expertise in data science, with a strong background in statistical analysis and machine learning
  • Outstanding problem-solving skills and the ability to think critically and creatively
  • Strong programming skills in Python & SQL, or other relevant languages
  • Experience with data visualization tools and techniques
  • Ability to successfully implement projects and compete in a fast-paced environment
  • PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models

What we offer

  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
Robinhood - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Scientist, Product

8 matching positions

Data Scientist, Product

Meta is seeking a Data Scientist to partner with product teams and drive data-in...
Location
Location
United States , New York
Salary
Salary:
147000.00 - 208000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience in data science, applied analytics, or a related quantitative field working on consumer or enterprise products
  • Experience designing and analyzing controlled experiments, including hypothesis formulation, statistical testing, and interpretation of results
  • Experience writing production-quality code in SQL and at least one scripting language such as Python or R to manipulate and analyze large-scale datasets
  • Experience building predictive models using statistical or machine learning techniques and translating model outputs into product recommendations
  • Experience developing data visualizations and self-service dashboards to communicate product performance to diverse stakeholders
Job Responsibility
Job Responsibility
  • Design and evaluate A/B experiments to measure the causal impact of product changes on user behavior and key product metrics
  • Develop and maintain predictive models and statistical frameworks to generate actionable insights that inform product strategy
  • Build scalable data pipelines and self-service visualization interfaces that enable cross-functional partners to explore and interpret product performance data
  • Define success metrics and measurement frameworks that connect product goals to business outcomes
  • Conduct exploratory and confirmatory analyses on large-scale behavioral datasets to identify opportunities and surface risks
  • Collaborate with product managers, engineers, and designers to translate analytical findings into prioritized product decisions
  • Communicate complex analytical results clearly to technical and non-technical stakeholders through written narratives and data presentations
  • Advise cross-functional partners on analytical design, hypothesis formulation, and interpretation of quantitative and qualitative research
  • Integrate AI tools into analytical workflows to accelerate insight generation, improve reproducibility, and expand the scope of analyses
  • Contribute to team-level goal setting by sizing opportunities, tracking operational performance, and identifying gaps in existing measurement approaches
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Sunnyvale
Salary
Salary:
214228.00 - 240460.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree (or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
  • completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in each of the following: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
177870.00 - 199650.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
  • 6 months of work experience in the job offered or in a computer or risk management related occupation
  • 6 months of experience in: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • Relational databases
  • Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, machine learning, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
  • Forecast business trends using quantitative analysis and machine learning techniques
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
189346.00 - 199650.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree (or foreign equivalent) in Computer Science, Data Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
  • Requires completion of a university-level course, research project, internship, or thesis in the following: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
  • Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
224956.00 - 240460.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation
  • Requires two years of experience in: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
214228.00 - 235400.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
  • Requires completion of a university-level course, research project, internship, thesis, or work experience in: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
  • Defining and measuring success of the product through appropriate metrics
  • Guiding the engineering team on which areas to invest in by discovering inefficiencies in the product
  • Identifying and solving long term product problems to create value for users by increasing metrics such as 'Daily Active Users'
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park
Salary
Salary:
219953.00 - 240460.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation
  • Requires three years of experience in: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...
Location
Location
United States , Menlo Park, CA
Salary
Salary:
222132.00 - 284900.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field
  • Requires completion of a university-level course, research project, internship, or thesis in the following: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
Job Responsibility
Job Responsibility
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
  • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
  • Exercise judgment within defined procedures and practices to determine appropriate action
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right