Senior Data Scientist

Job not on LinkedIn

🔥 40 minutes ago

🇺🇸 United States – Remote

💵 $137.6k - $220k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Temporal Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏭 Manufacturing

📣 Marketing

💰 $75M Series B on 2023-02

Consulting • Manufacturing • Marketing

Temporal Technologies is a company that provides a platform for durable execution, helping developers build resilient applications by managing failures, network outages, and long-running processes. Their technology abstracts away the complexity of building scalable distributed systems, allowing developers to focus on delivering reliable systems faster. Temporal simplifies code by eliminating recovery logic, callbacks, and timers, making software more durable and fault tolerant. The platform supports a wide variety of applications, from transaction processing to applied AI, and is favored by developers for its ease of use and reliability. Temporal is open-source and offers both self-hosted and managed cloud services in multiple regions, enabling scalable, serverless application development.

📋 Description

• Act as an embedded Data partner to Product, Design, and Engineering, shaping strategy, product proposals, and experiments • Build analytical frameworks across the product-led growth journey from acquisition and activation through engagement, adoption, expansion, monetization, and durability • Use funnel, cohort, journey, and sequence analysis to identify friction and improvement opportunities • Identify behaviors and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success • Analyze feature discovery and adoption patterns and recommend interventions that increase adoption and expansion • Design and evaluate experiments and product changes using matched comparisons, pre/post-intervention analysis, causal methods, and other appropriate techniques • Distinguish observed results from assumptions, quantify uncertainty, and explain confidence behind conclusions • Prioritize growth opportunities based on potential impact, confidence, effort, and measurement feasibility • Build reusable datasets, metrics, dashboards, and analytical tools for Product, Marketing, Sales, and leadership • Partner with Engineering and Data Engineering to improve event instrumentation, data quality, and analytical models • Communicate findings through visualizations, written narratives, and practical recommendations • Audit onboarding signals and recommend instrumentation • Establish reporting and repeatable analysis for product-led growth experiments • Analyze user behavior after the first successful Activity or Workflow • Identify production-readiness signals and points where users stall • Map feature-adoption paths across important product areas

🎯 Requirements

• Strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis • Experience using product, behavioral, or event data to improve activation, engagement, retention, conversion, or expansion • Experience working with small samples, noisy signals, imperfect control groups, or environments where standard A/B testing is not always possible • Strong judgment in selecting methods appropriate to the decision, data, and uncertainty • Proficiency in SQL and Python for analysis, modeling, and automation • Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and supervised or unsupervised machine-learning methods • Ability to prototype in notebooks and convert recurring analyses into reliable data products, models, or workflows • Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake • Familiarity with cloud and object-store technologies such as AWS S3 • Experience building dashboards and reusable analytical assets in a modern business intelligence platform • Comfort working with evolving definitions, incomplete instrumentation, and trade-offs between analytical precision and decision usefulness • Record of translating analysis into product or business action • Strong communication skills, including explaining methods, uncertainty, and recommendations in plain language • Curiosity about developer platforms, cloud infrastructure, usage-based products, and technically complex product adoption • Ability to collaborate with Product, Engineering, Marketing, Sales, Finance, and Data partners

🏖️ Benefits

• Equity • AI interview recording opt-out without impact on candidacy • Equal opportunity and reasonable accommodation support

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume