Senior Data Science Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest markets in the country for senior data science engineer roles with visa sponsorship. Microsoft, Amazon, and Meta anchor the Seattle-Redmond corridor, while companies like Expedia, T-Mobile, and a dense cluster of mid-size tech firms actively hire and sponsor across the Puget Sound region. Demand for this role spans e-commerce, cloud infrastructure, and enterprise AI.
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Get Access To All JobsAbout Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Have at Moloco
The Moloco Ads Data Science team provides the analytics, measurement, and insights that guide Moloco’s product and business strategy. As a leader of the Product Data Science function for Moloco Ads, you will partner closely with senior Product Management, Engineering, and Business leaders to deliver high-quality analysis and insights that shape our product roadmap and long-term vision. This is a hands-on, high-growth, high-impact leadership role with responsibility for setting analytical standards, driving org-wide initiatives, and leading and growing a team of data scientists and data science managers.
The Opportunity
Own and evolve product health metrics
- Define and own the metrics that measure the health of the Moloco Ads product end-to-end
- Establish clear input/output metrics across core ML, bidding, and delivery components
- Build causal frameworks to understand performance drivers and business tradeoffs
- Guide launch and ramp decisions through rigorous experimentation and A/B testing
- Communicate metric movements and insights clearly to Moloco Ads leadership
Influence product and R& D strategy through deep analysis and experimentation
- Conduct deep-dive analyses on large-scale datasets to extract meaningful signal from noise
- Design and execute experiments that inform product and algorithmic decisions
- Translate analytical findings into clear, actionable recommendations that improve Moloco’s complex ML and bidding systems and drive customer performance
Evaluate and maintain ads system health
- Develop a holistic understanding of Moloco’s ads ecosystem and its interconnected components
- Diagnose performance changes and system issues using robust monitoring and diagnostic frameworks
Scale insight through AI and analytics tooling
- Leverage and build AI-powered analytics and decision-support tools (e.g., experimentation platforms, automated insights, LLM-enabled analysis workflows)
- Enable teams across Moloco to access insights at scale and make faster, better data-driven decisions
What You’ll Bring
Leadership & People Management
- Proven experience leading product data science teams and elevating analytical quality across an organization
- Strong people leadership skills, including mentoring and coaching, fostering a growth mindset, and supporting career development
- Empathetic and thoughtful leadership style, with the ability to be decisive and hold teams accountable
- Experience delegating effectively while maintaining high standards for execution and impact
Communication & Influence
- Strong communication skills with a solid technical foundation
- Experience partnering cross-functionally with Product, Engineering, and Business leaders
- Ability to clearly communicate data insights and recommendations to executive stakeholders and external customers
Execution & Problem Solving
- Exceptional problem-solving skills, with the ability to frame ambiguous product questions and translate them into analytical approaches
- Comfort working with large datasets and applying statistical methods to drive decisions
- Proven ability to own and deliver org-wide initiatives end-to-end, translating analysis into business impact
- Ability to manage multiple complex projects simultaneously in a fast-paced environment
Technical Qualifications
- Statistics: Strong expertise in experimental design, hypothesis testing, and statistical analysis (e.g., regression, linear models)
- Programming: Experience with Python, R, or similar scripting languages; proficiency in SQL and data manipulation tools (e.g., Pandas, dplyr)
- Ability to build strong working relationships with product, engineering, and business partners in a global organization
Experience & Education
- 10+ years of experience in data science or related quantitative fields, with demonstrated impact on complex products
- 5+ years of experience leading and scaling data science teams, including managing managers
- Bachelor’s, Master’s, and/or PhD in a quantitative discipline such as Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Engineering, or related fields
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Base Pay Range: $240,000—$315,000 USD
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
- Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Have at Moloco
The Moloco Ads Data Science team provides the analytics, measurement, and insights that guide Moloco’s product and business strategy. As a leader of the Product Data Science function for Moloco Ads, you will partner closely with senior Product Management, Engineering, and Business leaders to deliver high-quality analysis and insights that shape our product roadmap and long-term vision. This is a hands-on, high-growth, high-impact leadership role with responsibility for setting analytical standards, driving org-wide initiatives, and leading and growing a team of data scientists and data science managers.
The Opportunity
Own and evolve product health metrics
- Define and own the metrics that measure the health of the Moloco Ads product end-to-end
- Establish clear input/output metrics across core ML, bidding, and delivery components
- Build causal frameworks to understand performance drivers and business tradeoffs
- Guide launch and ramp decisions through rigorous experimentation and A/B testing
- Communicate metric movements and insights clearly to Moloco Ads leadership
Influence product and R& D strategy through deep analysis and experimentation
- Conduct deep-dive analyses on large-scale datasets to extract meaningful signal from noise
- Design and execute experiments that inform product and algorithmic decisions
- Translate analytical findings into clear, actionable recommendations that improve Moloco’s complex ML and bidding systems and drive customer performance
Evaluate and maintain ads system health
- Develop a holistic understanding of Moloco’s ads ecosystem and its interconnected components
- Diagnose performance changes and system issues using robust monitoring and diagnostic frameworks
Scale insight through AI and analytics tooling
- Leverage and build AI-powered analytics and decision-support tools (e.g., experimentation platforms, automated insights, LLM-enabled analysis workflows)
- Enable teams across Moloco to access insights at scale and make faster, better data-driven decisions
What You’ll Bring
Leadership & People Management
- Proven experience leading product data science teams and elevating analytical quality across an organization
- Strong people leadership skills, including mentoring and coaching, fostering a growth mindset, and supporting career development
- Empathetic and thoughtful leadership style, with the ability to be decisive and hold teams accountable
- Experience delegating effectively while maintaining high standards for execution and impact
Communication & Influence
- Strong communication skills with a solid technical foundation
- Experience partnering cross-functionally with Product, Engineering, and Business leaders
- Ability to clearly communicate data insights and recommendations to executive stakeholders and external customers
Execution & Problem Solving
- Exceptional problem-solving skills, with the ability to frame ambiguous product questions and translate them into analytical approaches
- Comfort working with large datasets and applying statistical methods to drive decisions
- Proven ability to own and deliver org-wide initiatives end-to-end, translating analysis into business impact
- Ability to manage multiple complex projects simultaneously in a fast-paced environment
Technical Qualifications
- Statistics: Strong expertise in experimental design, hypothesis testing, and statistical analysis (e.g., regression, linear models)
- Programming: Experience with Python, R, or similar scripting languages; proficiency in SQL and data manipulation tools (e.g., Pandas, dplyr)
- Ability to build strong working relationships with product, engineering, and business partners in a global organization
Experience & Education
- 10+ years of experience in data science or related quantitative fields, with demonstrated impact on complex products
- 5+ years of experience leading and scaling data science teams, including managing managers
- Bachelor’s, Master’s, and/or PhD in a quantitative discipline such as Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Engineering, or related fields
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Base Pay Range: $240,000—$315,000 USD
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
- Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Senior Data Science Engineer Job Roles in Washington
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Search Senior Data Science Engineer Jobs in WashingtonSenior Data Science Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Washington?
Microsoft and Amazon are the most consistent sponsors for senior data science engineer roles in Washington, given their scale and established immigration programs. Beyond those two, Expedia, Tableau, T-Mobile, and Salesforce have active records of H-1B sponsorship in this role category. Biotech and healthcare companies in the greater Seattle area, including Adaptive Biotechnologies, also compete for senior data science talent and have sponsored visas in the past.
Which visa types are most common for senior data science engineer roles in Washington?
The H-1B is the most common visa for senior data science engineers in Washington. The role typically qualifies as a specialty occupation because it requires a bachelor's degree or higher in a specific field such as statistics, computer science, or a related discipline. Candidates with extraordinary achievement may pursue the O-1A. Australians may be eligible for the E-3, which offers a similar pathway with no lottery requirement.
Which cities in Washington have the most senior data science engineer sponsorship jobs?
Seattle and Redmond account for the majority of senior data science engineer sponsorship jobs in Washington. Seattle's South Lake Union and Eastlake neighborhoods host a high concentration of tech and biotech employers, while Redmond is home to Microsoft's headquarters. Bellevue is a growing secondary hub, particularly as Amazon and other firms expand there. Smaller clusters exist in Kirkland and Bothell, often tied to cloud and life sciences employers.
How to find senior data science engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically for roles offering visa sponsorship, making it easier to identify senior data science engineer positions in Washington without sorting through employers unlikely to sponsor. You can filter by state and role to see active listings from companies with a history of H-1B and other sponsorship activity in the Seattle-Redmond corridor. Focusing your search on employers who have filed Labor Condition Applications in Washington is a practical starting point.
Are there state-specific considerations for senior data science engineers seeking sponsorship in Washington?
Washington has no state income tax, which affects how prevailing wage calculations translate into take-home pay relative to other tech hubs. The Department of Labor sets prevailing wages for senior data science engineer roles at the county level, and King County wages are among the highest in the country for this occupation. The University of Washington's strong graduate programs in statistics and computer science also create a well-established pipeline that local employers actively recruit from.
What is the prevailing wage for sponsored senior data science engineer jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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