H-1B Visa Senior Staff Data Scientist Jobs
Senior Staff Data Scientists command some of the strongest H-1B visa sponsorship rates in tech, with roles classified under SOC codes that consistently clear the specialty occupation bar. Employers filing LCAs for this level typically sponsor at all three H-1B wage tiers, and premium processing is common given the seniority and business-critical nature of the work.
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The Mailchimp Product Data Science team turns product and customer data into insights and models that shape Mailchimp's product strategy. We work as thought partners with Product, Design, Engineering, Marketing, Finance, and Pricing to drive data-driven decisions through experimentation, causal measurement, and deep customer analytics.
We're looking for a Senior Staff Data Scientist to be an analytical leader for Mailchimp's product growth. In this high-impact individual contributor role, you'll set the measurement vision across the full customer journey: sign-up and onboarding, activation, conversion to paid, engagement, and long-term retention. The role raises the scientific bar for how we experiment and size opportunities, and it shapes product and business strategy at the senior leadership level. It's also hands-on, focused on the highest-leverage problems and on helping the team adopt AI-native workflows that let us move faster.
This role is based in New York, NY / Mountain View, CA / Atlanta, GA under Intuit's hybrid model, 3 days per week in office.
Responsibilities
- Influence product strategy: Be a strategic thought partner to senior Product and business leaders. Shape Mailchimp's growth roadmap with deep dives into customer segmentation, onboarding and activation funnels, feature adoption, pricing and packaging, and retention.
- Set the analytics vision: Own the measurement framework, north-star and guardrail metrics, and leading indicators for the self-serve customer journey, from free and trial sign-ups to paid conversion, bookings, and recurring revenue.
- Lead experimentation and causal measurement: Drive a culture of rigorous, iterative experimentation. Design complex tests (A/B/n, sequential, holdouts, long-running), apply Bayesian and frequentist inference, and use causal inference methods such as difference-in-differences, propensity score matching, and synthetic control where randomized tests aren't possible.
- Size and prioritize opportunities: Build opportunity-sizing and forecasting frameworks that turn product initiatives into incremental revenue impact, accounting for retention curves and the winner's curse, so leadership can prioritize investment.
- Uncover growth opportunities: Use first-principles thinking and exploratory analysis to find untapped levers across the funnel, including in-product onboarding, lifecycle marketing, paid media, and plan upgrades.
- Shape the AI-native roadmap: Partner with Product and Engineering to measure AI-powered features in Mailchimp. Build ML and LLM-based solutions such as propensity models, personalization, and automated insights for hard product problems.
- Raise the scientific bar: Build reusable analytical frameworks, governed metric definitions, and self-serve tools that improve decision-making at scale. Champion strong instrumentation and data quality.
- Lead and mentor: Be a technical lead for the Product Data Science team. Coach and grow senior and staff data scientists, review their methods, and model executive-ready storytelling.
Qualifications
- 8+ years in data science, product analytics, or a related field, with a proven record of driving product strategy and measurable business impact.
- Experience in B2B SaaS, subscription, or freemium/self-serve businesses strongly preferred. Familiarity with marketing technology or small-business customers is a plus.
- Expert SQL and data modeling skills on cloud data warehouses (BigQuery preferred), plus advanced Python or R.
- Deep expertise in experimental design and causal inference, with the judgment to balance statistical rigor against speed of decision-making.
- Track record of sizing opportunities and forecasting revenue impact, including funnel, cohort, and retention analysis.
- Hands-on experience applying machine learning (classification, regression, uplift or propensity modeling) and LLM/GenAI workflows to real product problems.
- Proficient in an AI-native data science tech stack (for example, Claude, Cursor, or Codex with MCPs, CLIs, and APIs) and eager to keep building how the team works with AI.
- Excellent executive communication. You turn complex analysis into clear narratives and recommendations, and you've influenced senior leaders across Product, Marketing, and Finance.
- Experience leading ambiguous, cross-functional work where the question, metric definitions, or methodology have to be set before the analysis can start.
- Demonstrated mentorship and technical leadership of other data scientists.
- Bachelor's or graduate degree in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or Operations Research, or equivalent practical experience.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
New York $210,500 - $284,500
Overview
The Mailchimp Product Data Science team turns product and customer data into insights and models that shape Mailchimp's product strategy. We work as thought partners with Product, Design, Engineering, Marketing, Finance, and Pricing to drive data-driven decisions through experimentation, causal measurement, and deep customer analytics.
We're looking for a Senior Staff Data Scientist to be an analytical leader for Mailchimp's product growth. In this high-impact individual contributor role, you'll set the measurement vision across the full customer journey: sign-up and onboarding, activation, conversion to paid, engagement, and long-term retention. The role raises the scientific bar for how we experiment and size opportunities, and it shapes product and business strategy at the senior leadership level. It's also hands-on, focused on the highest-leverage problems and on helping the team adopt AI-native workflows that let us move faster.
This role is based in New York, NY / Mountain View, CA / Atlanta, GA under Intuit's hybrid model, 3 days per week in office.
Responsibilities
- Influence product strategy: Be a strategic thought partner to senior Product and business leaders. Shape Mailchimp's growth roadmap with deep dives into customer segmentation, onboarding and activation funnels, feature adoption, pricing and packaging, and retention.
- Set the analytics vision: Own the measurement framework, north-star and guardrail metrics, and leading indicators for the self-serve customer journey, from free and trial sign-ups to paid conversion, bookings, and recurring revenue.
- Lead experimentation and causal measurement: Drive a culture of rigorous, iterative experimentation. Design complex tests (A/B/n, sequential, holdouts, long-running), apply Bayesian and frequentist inference, and use causal inference methods such as difference-in-differences, propensity score matching, and synthetic control where randomized tests aren't possible.
- Size and prioritize opportunities: Build opportunity-sizing and forecasting frameworks that turn product initiatives into incremental revenue impact, accounting for retention curves and the winner's curse, so leadership can prioritize investment.
- Uncover growth opportunities: Use first-principles thinking and exploratory analysis to find untapped levers across the funnel, including in-product onboarding, lifecycle marketing, paid media, and plan upgrades.
- Shape the AI-native roadmap: Partner with Product and Engineering to measure AI-powered features in Mailchimp. Build ML and LLM-based solutions such as propensity models, personalization, and automated insights for hard product problems.
- Raise the scientific bar: Build reusable analytical frameworks, governed metric definitions, and self-serve tools that improve decision-making at scale. Champion strong instrumentation and data quality.
- Lead and mentor: Be a technical lead for the Product Data Science team. Coach and grow senior and staff data scientists, review their methods, and model executive-ready storytelling.
Qualifications
- 8+ years in data science, product analytics, or a related field, with a proven record of driving product strategy and measurable business impact.
- Experience in B2B SaaS, subscription, or freemium/self-serve businesses strongly preferred. Familiarity with marketing technology or small-business customers is a plus.
- Expert SQL and data modeling skills on cloud data warehouses (BigQuery preferred), plus advanced Python or R.
- Deep expertise in experimental design and causal inference, with the judgment to balance statistical rigor against speed of decision-making.
- Track record of sizing opportunities and forecasting revenue impact, including funnel, cohort, and retention analysis.
- Hands-on experience applying machine learning (classification, regression, uplift or propensity modeling) and LLM/GenAI workflows to real product problems.
- Proficient in an AI-native data science tech stack (for example, Claude, Cursor, or Codex with MCPs, CLIs, and APIs) and eager to keep building how the team works with AI.
- Excellent executive communication. You turn complex analysis into clear narratives and recommendations, and you've influenced senior leaders across Product, Marketing, and Finance.
- Experience leading ambiguous, cross-functional work where the question, metric definitions, or methodology have to be set before the analysis can start.
- Demonstrated mentorship and technical leadership of other data scientists.
- Bachelor's or graduate degree in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or Operations Research, or equivalent practical experience.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
New York $210,500 - $284,500
See all 193+ H-1B Visa Senior Staff Data Scientist Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Staff Data Scientist
Map your role to the right SOC code
Senior Staff Data Scientist roles often straddle SOC 15-2051 (Data Scientists) and 15-1221 (Computer and Information Research Scientists). Pull the O*NET profile for each and match your actual job duties before your employer files the LCA. Misclassification is a leading RFE trigger at this level.
Document your prevailing wage tier early
Run an OFLC Wage Search using your work location's metropolitan statistical area before negotiating an offer. At the Senior Staff level, you're likely in Wage Level III or IV. Confirming this before the LCA is filed prevents last-minute offer renegotiation or refilings.
Target employers with cap-exempt filing history
Universities, nonprofit research organizations, and certain government-affiliated labs are H-1B cap-exempt, meaning they can file year-round without lottery exposure. Senior Staff Data Scientists in applied research or faculty-adjacent roles are often eligible. Filtering by employer type narrows your search to organizations that can move fast.
Find sponsors through verified LCA filing data on Migrate Mate
Search Senior Staff Data Scientist roles on Migrate Mate to see which employers have active LCA filing history for this exact title. That filters out companies that say they sponsor but rarely do, so you're applying where H-1B petitions for this level actually get filed.
Prepare a specialty occupation memo before interviews
At the Senior Staff level, USCIS scrutinizes whether the role genuinely requires a specific bachelor's degree field, not just any advanced degree. Draft a one-page summary linking your degree discipline to the technical scope of the role before offer stage. Employers appreciate candidates who make the petition easier to defend.
Negotiate premium processing into your offer
USCIS premium processing moves I-129 adjudication to 15 business days. For Senior Staff roles with delayed start dates or competitive counteroffers in play, request that your employer elect premium processing as a condition of acceptance. Most large tech and finance sponsors treat this as standard for senior hires.
H-1B Visa Senior Staff Data Scientist: Frequently Asked Questions
Does a Senior Staff Data Scientist role qualify as a specialty occupation for H-1B purposes?
Yes, in nearly all cases. USCIS evaluates whether the position normally requires at least a bachelor's degree in a specific field. Senior Staff Data Scientist roles consistently meet this bar because they require specialized training in statistics, computer science, or a closely related discipline. Staff and principal-level positions actually carry less specialty occupation risk than entry-level roles, since the technical depth is easier to document in the LCA and support letter.
Which employers sponsor H-1B visas for Senior Staff Data Scientists?
Technology companies, financial institutions, healthcare analytics firms, and research-focused organizations are the most active sponsors for this title. Because the role sits at a senior individual contributor level, sponsors tend to be organizations with established immigration programs rather than early-stage startups. Migrate Mate surfaces employers with verified LCA filing history for Senior Staff Data Scientist roles specifically, so you can identify active sponsors before applying.
How does the H-1B lottery affect Senior Staff Data Scientist hiring timelines?
The annual H-1B lottery runs in March for an October 1 start date, creating a roughly six-month gap between selection and work authorization. Senior Staff roles are often critical enough that employers use this window to negotiate a delayed start or bridge the gap with consulting arrangements. Cap-exempt employers, such as universities and nonprofit research labs, can file outside the lottery entirely, which is worth factoring into your job search at this level.
What wage level should a Senior Staff Data Scientist expect on the LCA?
Most Senior Staff Data Scientist roles are classified at DOL Wage Level III or IV, reflecting the advanced knowledge, independent judgment, and scope of responsibility the title implies. Your employer must certify on the LCA that your offered wage meets or exceeds the prevailing wage for your SOC code in your work location. You can verify the applicable wage floor using the OFLC Wage Search before finalizing your offer.
Can a Senior Staff Data Scientist switch employers while on H-1B?
Yes, H-1B portability under AC21 lets you start work with a new employer as soon as your new employer files a concurrent or new H-1B petition, provided your current H-1B has been approved for at least 180 days. For Senior Staff roles, the specialty occupation documentation from your previous petition can inform the new filing, but your new employer needs to file their own I-129. Make sure you don't let your current status lapse before the new petition is received by USCIS.