Product Data Scientist

Overview

We are seeking a highly analytical and business-savvy Product Data Scientist to support high-impact digital payments teams. This role will use product and merchant data to identify growth drivers, evaluate performance across global markets, and inform acquisition, engagement, and business development strategies.

The ideal candidate combines strong technical skills in SQL, PySpark, and Python with product intuition and executive-level communication. This is a hands-on analytics role where findings and recommendations will directly influence Product, Business Development, Marketing, and senior leadership decisions.

Job Details

Location: New York City, NY

Workplace Type: Hybrid, with required onsite attendance Tuesday through Thursday

Job Type: Contract

Experience Level: Intermediate/Mid-level

Job Category: Data Scientist

Focus Area: Product Data Science, Merchant Analytics, and Business Insights

Note: Unable to support H1b sponsorship at this time

This posting is for an existing vacancy.

Key Responsibilities

• Analyze merchant performance, product KPIs, and growth trends across global markets.
• Identify the primary drivers of acquisition, engagement, provisioning, and product adoption.
• Apply AI thoughtfully when developing dashboards or analytical applications, including 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 data findings into clear, actionable recommendations for Product, Business Development, Marketing, and engineering partners.
• Define meaningful product and business metrics to measure performance and identify opportunities for growth.
• 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.

Must-Have Qualifications

• Strong professional experience in product data science, product analytics, business analytics, or a related field.
• Advanced SQL skills, including experience querying and analyzing large, complex datasets.
• Strong Python and PySpark skills within large-scale data environments.
• Experience analyzing product KPIs, customer or merchant behavior, performance drivers, and growth trends.
• Ability to answer business-oriented questions such as:
• What is driving growth or decline?
• How much lift occurred year over year?
• Which customer, merchant, or product categories are growing fastest?
• What actions should the business take based on the findings?
• 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-Have Qualifications

• 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.

Ideal Candidate Profile

The strongest candidate will not only be technically proficient but also able to connect analysis to business action. They should be comfortable examining large datasets, identifying the drivers behind product performance, and explaining what the results mean for acquisition, engagement, and growth.

This person should be able to present a clear point of view to senior stakeholders, defend their methodology, and recommend practical next steps rather than simply reporting metrics.

Work Environment

This role operates in a fast-moving enterprise environment that values open feedback, thoughtful debate, independent decision-making, and smart risk-taking. The Product Data Scientist will collaborate with Product, Business Development, Marketing, Data Science, and Data Engineering professionals while supporting initiatives with significant visibility and business impact.

The position requires onsite attendance in Cupertino or New York City from Tuesday through Thursday each week.

Why This Opportunity?

• Influence product and growth decisions across a large digital payments ecosystem.
• Work with global merchant, customer, and product-performance data.
• Present insights and recommendations to senior stakeholders.
• Support acquisition and provisioning initiatives as well as Tap to Pay products.
• Collaborate with experienced product, business development, data science, and data engineering teams.
• Explore practical applications of AI in dashboards and analytics products.

Job Type & Location

This is a Contract position based out of New York City, NY.

Pay and Benefits

The pay range for this position is $70.00 - $77.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Oct 30, 2026.

Workplace Type

This is a hybrid position in New York City, NY.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.