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Senior Data Scientist

Remote, United States · $137,600–$220,000 per year · Equity offered

AcquireActivateEngageExpandRetain
Pay$137,600–$220,000 / year, three geographic tiers
WhereRemote, United States
TypeFull-time + equity
FocusProduct analytics, causal inference, SQL, Python

Most data science listings promise “impact.” This Senior Data Scientist opening is more specific: it wants someone who can look at messy, half-instrumented product data and say, calmly, “we can’t run a clean A/B test here, so here is what we can still conclude, and how sure we are.” If that sounds like your kind of problem, this is one of the more interesting Remote Jobs USA openings in analytics right now.

The role sits inside a product-led growth (PLG) team and works alongside Product, Design, Engineering and Data Engineering. It is a full-time, fully remote position in the United States, so it belongs in any shortlist of Full-Time Remote Jobs and Work from Home Jobs for experienced analysts. Browse more in our Remote Jobs USA hub.

What the Senior Data Scientist actually owns

Stage 1

Be the embedded partner

  • Join product strategy, feature proposals and experiment planning from the earliest stages
  • Build analytical frameworks for the whole PLG journey, from acquisition through long-term durability
Stage 2

Read user behavior

  • Funnel, cohort, user-journey and sequence analysis to find friction
  • Pin down the behaviors and milestones tied to conversion, production readiness, expansion and churn
  • Turn those findings into leading indicators of adoption or stalled accounts
Stage 3

Prove what works

  • Design, run and evaluate product experiments
  • Use matched comparisons, pre/post analysis and quasi-experimental methods when randomized testing isn’t feasible
  • Separate observed outcomes from assumptions and state the uncertainty
Stage 4

Build the data layer

  • Reusable datasets, metrics, dashboards and tools for Product, Marketing, Sales and leadership
  • Work with Engineering and Data Engineering on event instrumentation and data quality
Stage 5

Make the call clear

  • Rank growth opportunities by expected impact, confidence, effort and how measurable they are
  • Present through visualizations, written reports and practical recommendations for technical and non-technical audiences

The first priorities on the list

  • Audit the behavioral signals already captured during onboarding and recommend extra event instrumentation
  • Set up consistent reporting and repeatable methods for PLG experiments
  • Study user behavior after the first successful Activity or Workflow
  • Find the signals tied to production readiness, and the stages where users stall
  • Map feature adoption journeys across key product areas

Skills and experience the employer asks for

For a Senior Data Scientist role, the listing leans on hands-on product analytics: event data, activation, retention and expansion, plus statistics and experimental design. Experience with small, noisy or incomplete datasets is called out directly, as is work on modern data platforms such as Athena, Presto/Trino, BigQuery or Snowflake. Dashboards built in modern BI tools, supervised and unsupervised machine learning, and the ability to explain uncertainty to non-technical colleagues round out the list.

SQLPythonStatisticsCausal inferenceExperiment designCohort & funnel analysisMachine learningBI dashboardsAWS S3Notebooks

Pay, equity and what the listing leaves out

The posted range is $137,600 to $220,000 a year, and it varies with geographic location, experience, qualifications and job level. Pay is structured across three geographic tiers, and equity is offered. The listing does not break out the dollar amount for each tier.

Worth knowing before you apply: the listing we received does not name the employer, list health or retirement benefits, or show a closing date. Check the application page for those details, and confirm the role is still open.

Job seekers searching for WFH Jobs at this level should also note that the description targets people who already work in product analytics. It is not an entry-level opening, so it won’t suit anyone looking for Entry-Level Remote Jobs.

How to apply for this remote Senior Data Scientist job

  • Open the official application page using the button below
  • Tailor your resume to product analytics, experimentation and causal inference, with metrics from past work
  • Be ready to show a case where you drew a conclusion from limited or imperfect data

Ready to apply?

Apply for the Senior Data Scientist remote role through the employer’s listing on its careers site.

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Frequently asked questions

Is this Senior Data Scientist job fully remote?

Yes. The listing shows the workplace as remote with the location set to the United States.

What is the salary for this remote data scientist job?

$137,600 to $220,000 per year, depending on geographic location, experience, qualifications and job level. Three geographic tiers apply, and equity is offered.

Is it a full-time role?

Yes, the employment type is full-time.

Do I need A/B testing experience only?

No. The employer specifically wants experience with limited sample sizes, noisy data and imperfect control groups, using methods such as matched comparisons and quasi-experimental analysis.

Where can I find more Work from Home Jobs and WFH Jobs?

See the Remote Jobs USA category, plus our Work from Home Jobs, WFH Jobs and Full-Time Remote Jobs pages.

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