Amplitude

Amplitude

Customer Data Scientist (Statsig)

San Francisco · Senior

Sponsorship not specified$10k-$25kDetected 79 days ago
PythonSQLBigQuerySnowflakeData ScienceStatisticsA/B TestingProduct StrategyCustomer SuccessExperimental DesignMentoring

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role82
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$110,3861 entry
Level II$142,4382 entries
Level III$174,5123 entries
Level IV$206,5654 entries

The bottom of this range ($10,000) is below the Level I prevailing wage of $110,386. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market.
  • They've said we're the #1 product analytics solution https://www.g2.com/categories/product-analytics/enterprise for 23 quarters in a row on G2. - We care a lot about product innovation.
  • We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. - Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs.

Compensation

  • 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually

Benefits

  • We offer mentorship programs, management training, and wellness initiatives.
  • We give every Ampliteer a charitable giving grant and paid volunteer time off.
  • We're a global and fast-growing team!

Company info

  • You have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical and organizational challenges involved.
  • You have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
  • You are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
  • You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
  • You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.
  • 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
  • Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
  • Strong proficiency in SQL and python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Experience using Python or R for statistical analysis, experimentation, and data modeling.
  • Experience working directly with customers, stakeholders, or cross-functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
  • You are willing and able to travel approximately 10-25% of the time to meet with customers, support strategic engagements, and participate in team and industry events.
  • Excellent M edical, D ental and V ision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
  • 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
  • Flexible time off, p aid holidays, and more

This listing is sourced directly from Amplitude's careers page and normalized into a canonical job model.