Data Scientist

Duration: 12+ Months Contract with Potential extension upto 18 months

Job Description:

For a Fortune 100 Client

Summary: The Marketing Data Science team partners with product, marketing, and sales to turn data into decisions—designing experiments, building metrics and models, and delivering insights that drive adoption and revenue. In this role, you will join a team of data scientists focused on driving adoption for client’s AI product. You will collaborate with your teammates to identify opportunities to engage users across a variety of marketing channels and client’s product surfaces as we work to build awareness and engagement.

Required Skills & Experience:

• 8+ years total in data science/product analytics
• Relevant domains: B2B SaaS
• Prior roles working with marketing and engineering partners
• Strong in SQL (complex analytical queries on large datasets).
• Strong in Experiment design and statistical analysis.
• Experience with Databricks, Tableau, Python/R for analysis and modelling, Event-based product data.

Behavioural & Collaboration Fit:

• Demonstrated ability to Work independently with limited oversight.
• Communicate clearly with senior (Director+), non-technical stakeholders.

Move from analysis to concrete recommendations and follow-through

Roles & Responsibilities:

• Analytics & Decision Support:
• Drive analytical work for the Adoption initiative led by Head of Community & Learning area: Translate product and GTM questions into clear analytical plans; Deep-dive into user behavior, funnel conversion, retention, and monetization.
• Own definition, monitoring, and iteration of core metrics for this area: Examples: activation, conversion, WAU/MAU, churn.
• Modeling & Experimentation:
• Own the design and analysis of key experiments for Client’s Product Adoption: Run power analyses, define success metrics and guardrails, ensure statistical rigor; Run power analyses, define success metrics and guardrails, ensure statistical rigor.
• Where appropriate, build and validate models such as: Propensity / churn models aligned with GTM Data Science’s roadmap; Cohort / segmentation approaches to support targeted campaigns.
• Data Products, Dashboards & Documentation:
• Lead the team to create and maintain reusable SQL and Python assets (queries, notebooks) for the team.
• Build or refine dashboards in Tableau for: Executive views (high-level KPIs); Operational views (e.g., funnel drop-offs, experiment performance, cohort tracking).
• Document metric definitions, data sources, and analytical frameworks so they can be maintained by FTEs after the engagement.
• Stakeholder Partnership:
• Act as a data partner for Head of Community & Learning.
• Communicate insights in a way that supports decision-making and prioritization: Clear written summaries (Confluence) and live presentations.
• Proactively identify opportunities for impact (tests to run, segments to target, friction to remove).

Top 3 tech skills: SQL (complex analytical queries on large datasets). Experiment design and statistical analysis.

Top 3 Soft skills: Communication. Stakeholder management.

Education: Bachelor’s & Equivalent experience

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Akib

Email: akib@ustechsolutionsinc.com

Internal Id: 26-07415