Product Data Scientist

TEKsystems • New York, NY

3d • $70 - $77 • Hybrid

About The Position

The Product Data Scientist supports high-impact digital payments teams by analyzing product and merchant data to identify growth drivers, assess performance across global markets, and inform acquisition, engagement, and business development strategies. This hands-on analytics role applies SQL, PySpark, and Python to large-scale datasets and translates findings into recommendations that influence Product, Business Development, Marketing, engineering partners, and senior leadership.

The role includes analyzing merchant performance and product KPIs; defining metrics; evaluating year-over-year performance, incremental lift, and category growth; and building dashboards, analytical applications, and reporting solutions. It also involves thoughtful use of AI in analytical products, including evaluating information sources and validating outputs, and partnering with data science and data engineering teams to improve data quality, reliability, and accessibility.

The position is a contract role based in New York City with a hybrid schedule and required onsite attendance Tuesday through Thursday. The posting also states that onsite work may be in Cupertino or New York City. The pay range is $70.00–$77.00 per hour. The strongest candidate connects rigorous analysis to practical business action, communicates a clear point of view to senior stakeholders, and works independently in a fast-paced, iterative enterprise environment.

Requirements

• Strong professional experience in product data science, product analytics, business analytics, or a related field.
• Advanced SQL skills, including querying and analyzing large, complex datasets.
• Strong Python and PySpark skills in large-scale data environments.
• Experience analyzing product KPIs, customer or merchant behavior, performance drivers, and growth trends.
• Ability to investigate business questions about growth or decline, year-over-year lift, fast-growing customer, merchant, or product categories, and appropriate business actions.
• Demonstrated ability to translate complex analyses into clear business recommendations.
• Strong stakeholder management and communication skills.
• Experience presenting analytical findings and recommendations to senior-level audiences.
• Ability to work independently, challenge assumptions, and operate effectively in a fast-paced, iterative environment.
• Ability to work onsite in Cupertino or New York City at least three days per week, Tuesday through Thursday.

Nice To Haves

• Experience supporting payments, financial technology, merchant platforms, e-commerce, or digital wallet products.
• Experience with Tableau or a comparable business intelligence and visualization platform.
• Experience building an application or dashboard that incorporates AI.
• Understanding of responsible AI practices, including data sourcing, information validation, and output quality.
• Experience evaluating product performance across multiple geographic markets.
• Background supporting Product, Business Development, Marketing, or go-to-market teams.
• Experience with acquisition, provisioning, engagement, or merchant growth analytics.

Responsibilities

• Analyze merchant performance, product KPIs, and growth trends across global markets.
• Identify drivers of acquisition, engagement, provisioning, and product adoption.
• Use AI thoughtfully in dashboards and analytical applications, evaluating how information is sourced and validated.
• Evaluate year-over-year performance, incremental lift, and category-level growth opportunities.
• Use SQL, PySpark, and Python to analyze large-scale datasets and deliver reliable, scalable analytics.
• Build dashboards, analytical applications, and reporting solutions that make product insights accessible to stakeholders.
• Translate complex findings into clear, actionable recommendations for Product, Business Development, Marketing, and engineering partners.
• Define meaningful product and business metrics to measure performance and identify growth opportunities.
• Present data-driven recommendations, performance metrics, and new ideas to senior stakeholders.
• Partner with data science and data engineering teams to improve data quality, reliability, and accessibility.

Benefits

• Medical, dental, and vision benefits, subject to eligibility.
• Critical illness, accident, and hospital benefits, subject to eligibility.
• 401(k) retirement plan with pre-tax and Roth post-tax contributions available, subject to eligibility.
• Voluntary life and AD&D insurance for employees and dependents, subject to eligibility.
• Short- and long-term disability benefits, subject to eligibility.
• Health Spending Account (HSA), subject to eligibility.
• Transportation benefits, subject to eligibility.
• Employee Assistance Program, subject to eligibility.
• Time off or leave, including PTO, vacation, or sick leave, subject to eligibility.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed