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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Data Scientist - **Company:** TEKSYSTEMS INC. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $145,600.0 - $160,160.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Big Data, Information Engineering, Google Wallet, Python (Programming Language), SQL Databases, Tableau (Software), Virtualization Technology, Usage Analysis, Sql Optimization, Pyspark, Tools for Reporting - **Published:** October 16, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/cupertino/46e5d99f-aa54-4b96-a4c7-ba60035c551b ## About the Role 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., * 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., * 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., 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., 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. ## Description Debating Marketing Dashboard Operations Leadership Scalability Data Quality Data Science Communication Responsible AI Digital Wallet Business Acumen Decision Making Global Marketing Business Metrics Data Engineering Product Analytics Influencing Skills Performance Metric Business Valuation Business Analytics Reporting Solutions Business Development Go-to-Market Strategy Business Intelligence Full Stack Development Stakeholder Management Business Transformation SQL (Programming Language) Python (Programming Language) Financial Technology (FinTech) Key Performance Indicators (KPIs) Tableau (Business Intelligence Software), * 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., 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., * 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.