Join a leading fintech company that's democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply.

About the team + role

Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, operations, engineering, to unlock the potential of our data and shape the future of the brokerage products.

We're looking for a dedicated, ambitious Data Scientist to join our Brokerage Data Science team. In this role, you will be building data solutions to drive growth of various trading products in our brokerage businesses.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you'll do
Perform exploratory analysis to identify growth opportunities that can move core business metrics
Design data and modeling solutions using advanced statistical methods, optimization, machine learning, and quantitative finance models to price securities, evaluate trading strategies, and assess risk of leveraged trading products
Partner closely with Product, Operations, Engineering to build and integrate model driven decision flow into business and product processes
Conduct post-launch analysis through A/B experiment and causal inference to evaluate model performance and associated business value
Communicate effectively the solution designs and data insights to cross functional partners and stakeholders
What you bring
PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 3+ years of work experience in trading and pricing functions at broker dealers, market makers, and investment managers, or a Master's degree with 5+ years of aforementioned relevant work experience.
Strong passion to apply modeling and engineering skills to solve complex business problems
Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark
Proven ability in applying statistical methods, predictive modeling, and optimization algorithms in solving business problems
In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, factor models, options pricing models
Strong communication skills and ability to present sophisticated quantitative insights clearly to non-technical audience
What we offer
Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$187,000-$220,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$165,000-$194,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$146,000-$172,000 USD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

About the team + role   We are seeking a skilled computer vision specialist to play a pivotal role in developing a robust ID/selfie verification system designed to detect fraud and improve the customer experience. This position is essential to our business, ensuring the security and trust of our platform. The ideal candidate will be deeply passionate about addressing emerging challenges in fraud detection, such as combating Deepfakes and AI-generated images, and will thrive in a fast-paced, growth-oriented environment. You will be responsible for designing and implementing innovative solutions to mitigate evolving fraud risks while contributing to the overall success of our mission to protect customers.
What you’ll do    Develop and deploy brand-new computer vision models to improve product functionalities and user experiences.
Design and implement machine learning systems to address various challenges and opportunities within the financial sector.
Collaborate with cross-functional teams to deliver impactful data-driven solutions.
Build and refine production-grade models using large-scale datasets, employing statistical modeling, machine learning, and data mining techniques.
Drive innovation by combining knowledge from several research domains to solve sophisticated problems.
Collaborate with marketing, product, and design teams to cultivate user engagement and business development.
What you bring    Proven expertise in computer vision, with a strong portfolio of successful implementations.
Advanced degree in a quantitative field such as computer science, engineering, mathematics, or a related field.
Proficiency in programming languages such as Python (numpy, scipy, pandas) or R, or equivalent experience.
Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
Strong analytical skills and a passion for solving complex problems.
Excellent communication skills to convey data-driven insights to diverse collaborators.
An approach that fosters collaboration and the ability to work effectively in a fast-paced environment.
4+ years of professional experience as a Data Scientist.
Demonstrated experience in a research setting, either academic or commercial.
A true passion for our mission and a dedication to continuous learning and innovation.
What we offer    Market competitive and pay equity-focused compensation structure.
100% paid health insurance for employees with 90% coverage for dependents.
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits.
Dedicated mental health support for employees and eligible dependents.
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits.

#J-18808-Ljbffr

Join a leading fintech company that’s democratizing finance for all.  Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
With growth as the top priority...
The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the team + role  The Growth team at Robinhood is responsible for growing Robinhood’s users, assets, and revenue. We achieve this by building compelling product experiences & incentives aimed at getting more users to join Robinhood and grow their assets with us over time.
We're looking for a dedicated, ambitious Data Scientist to join our Growth Data Science team. In this role, you will help the growth team identify high-impact opportunities, design & analyze experiments, and build models to target incentives at the right users to maximize ROI.
The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you’ll do   Develop, implement, and deploy predictive models to solve complex business problems.
Collaborate with cross-functional teams to determine data needs and deliver flawless insights.
Conduct detailed data analysis to identify trends, patterns, and opportunities for improvement.
Present clear and impactful findings to stakeholders, driving data-informed strategies across the organization.
Mentor and guide junior data scientists and contribute to the team's professional growth.
What you bring   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, R, 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 2+ years of experience developing and deploying predictive models.
What we offer   Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.
Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific  Robinhood Privacy Policy  applicable to the country where you are applying.

#J-18808-Ljbffr

Join a leading fintech company that's democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply.

About the team + role

Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, operations, engineering, to unlock the potential of our data and shape the future of the brokerage products.

We're looking for a dedicated, ambitious Data Scientist to join our Brokerage Data Science team. In this role, you will be building data solutions to drive growth of various trading products in our brokerage businesses.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you'll do
Perform exploratory analysis to identify growth opportunities that can move core business metrics
Design data and modeling solutions using advanced statistical methods, optimization, machine learning, and quantitative finance models to price securities, evaluate trading strategies, and assess risk of leveraged trading products
Partner closely with Product, Operations, Engineering to build and integrate model driven decision flow into business and product processes
Conduct post-launch analysis through A/B experiment and causal inference to evaluate model performance and associated business value
Communicate effectively the solution designs and data insights to cross functional partners and stakeholders
What you bring
PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 3+ years of work experience in trading and pricing functions at broker dealers, market makers, and investment managers, or a Master's degree with 5+ years of aforementioned relevant work experience.
Strong passion to apply modeling and engineering skills to solve complex business problems
Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark
Proven ability in applying statistical methods, predictive modeling, and optimization algorithms in solving business problems
In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, factor models, options pricing models
Strong communication skills and ability to present sophisticated quantitative insights clearly to non-technical audience
What we offer
Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$187,000-$220,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$165,000-$194,000 USD

Zone 3 (Lake Mary, FL)

$146,000-$172,000 USD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Join a leading fintech company that's democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply.

About the team + role

Robinhood is a metrics driven company, and the Data Science Org is at the center of all the metrics initiatives, setting foundations to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Analytics Engineer to drive end-to-end development of high-performing ETL data pipelines, tools, and dashboards to scale insight generation to meet critical business, product, finance, and regulatory requirements. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you'll do
Partner closely with product, engineering, and data science to scope out data, metrics & analytics initiatives.
Lead end-to-end development of high-performing ETL data pipelines, tools, and dashboard to scale insight generation to meet critical business, product, and regulatory requirements
Collaborate with other data scientists to transform raw data into highly actionable insights, facilitating analytics deep dives to turn those insights into growth-driven actions
Build frameworks, tools, and workflows that maximize efficiency for data consumers, while maintaining high standards of data quality and performance.
What you bring
5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation.
Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar.
Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau.
Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
A strong product mindset.
Ability to work in a fast-paced, and highly cross-functional environment.
What we offer
Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more!
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$161,500-$190,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$141,950-$167,000 USD

Zone 3 (Lake Mary, FL)

$125,800-$148,000 USD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply. About the team + role We are seeking a skilled computer vision specialist to play a pivotal role in developing a robust ID/selfie verification system designed to detect fraud and improve the customer experience. This position is essential to our business, ensuring the security and trust of our platform. The ideal candidate will be deeply passionate about addressing emerging challenges in fraud detection, such as combating Deepfakes and AI-generated images, and will thrive in a fast-paced, growth-oriented environment. You will be responsible for designing and implementing innovative solutions to mitigate evolving fraud risks while contributing to the overall success of our mission to protect customers The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. What You'll Do As a Senior Data Scientist on the Marketing Science team, you will be responsible for developing and implementing best-in-class measurement and experimentation frameworks to support Robinhood's personalization efforts. Key responsibilities include: <ul><li>Use data to drive ranking decisions, measure impact, and improve user engagement.</li><li>Design A/B tests and causal inference studies to assess how personalization strategies influence conversions and long-term user behavior.</li><li>Analyze trends in marketing channel performance, from CTR and deliverability to user opt-outs and engagement fatigue. Your insights will help us make informed decisions about message frequency, ranking strategies, and personalization improvements.</li><li>Work on scalable measurement frameworks, ensuring our ranking models and engagement strategies are optimized for both user experience and business impact.</li></ul>What you bring <ul><li>5+ years of experience in Data Science, with a focus on ranking, personalization, user engagement analytics, or marketing optimization.</li><li>Deep expertise in A/B testing, causal inference, and experiment design, particularly for evaluating the incremental impact of ranking models, marketing campaigns, and personalization strategies.</li><li> proficiency in Python, SQL, and statistical modeling tools (e.g., Scipy, Stats models, R) for data exploration, hypothesis testing, and attribution modeling.</li><li>Experience with evaluation frameworks for rankings, including engagement-based metrics like CTR and dwell time, as well as metrics related to LTV, conversion rate, and modeling of return on investment.</li><li>Ability to analyze and optimize the health of marketing channels (emails, notifications, in-app cards, bottom sheets), identifying trends, anomalies, and opportunities for improvement.</li><li>Experience with structured ranking techniques, such as rule-based prioritization, scoring based on rules, and feature engineering (without needing deep ML modeling knowledge).</li><li>Proven track record to translate complex data insights into actionable business recommendations, collaborating with cross-functional teams in Marketing, Growth, Finance, and Engineering.</li><li>Experience working with large-scale datasets and distributed computing tools like Spark (preferred but not required).</li></ul> We are committed to providing an inclusive and welcoming interview experience for all candidates. If you have any specific needs or require assistance related to a physical or mental condition, please inform us by completing our Applicant Accommodation Form. What we offer <ul><li>Market competitive and pay equity-focused compensation structure</li><li>100% paid health insurance for employees with 90% coverage for dependents</li><li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li><li>Lifetime maximum benefit for family forming and fertility benefits</li><li>Dedicated mental health support for employees and eligible dependents</li><li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li><li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits</li></ul> We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. Please see the independent bias audit report covering our use of Covey here. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000-$220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000-$194,000 USD Zone 3 (Lake Mary, FL) $146,000-$172,000 USD Click here to learn more about available Benefits, which vary by region and Robinhood entity. We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Data Scientist Robinhood Jobs

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Senior Data Scientist Brokerage
April 6, 2025

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April 3, 2025

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April 1, 2025

Senior Data Scientist Brokerage
March 28, 2025

Senior Data Scientist Analytics Engineer
March 22, 2025

Senior Data Scientist Marketing Science
March 14, 2025

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Data Scientist Robinhood Jobs

Search for Job title, position, company and/or location…

Senior Data Scientist BrokerageApril 6, 2025

Senior Data Scientist Computer VisionApril 3, 2025

Senior Data Scientist GrowthApril 1, 2025

Senior Data Scientist BrokerageMarch 28, 2025

Senior Data Scientist Analytics EngineerMarch 22, 2025

Senior Data Scientist Marketing ScienceMarch 14, 2025