Director of Data Science leading technical data science initiatives for advertising products at Mastercard. Overseeing ML strategy, model deployment, and team collaboration in the Commerce Media platform.
About the role
- Product Data Scientist generating actionable insights from complex datasets to drive growth at US Mobile. Collaborating with cross-functional teams in a fast-paced startup environment.
Responsibilities
- Partner with product and business teams to inform, influence, and execute product strategy and key investment decisions.
- Analyze large, complex datasets—conducting both ongoing and ad-hoc deep dives—to uncover patterns, trends, and opportunities that drive strategy.
- Build and maintain dashboards and reports that deliver clear visibility into product usage, funnels, customer behavior, retention, and overall business performance.
- Design and analyze A/B tests and product experiments to evaluate the impact of new features and product changes.
- Design and build data models and pipelines that ensure reliable, scalable foundations for reporting and dashboards.
- Translate complex data into actionable insights and communicate findings effectively to both technical and non-technical audiences.
- Identify growth opportunities across acquisition, retention, monetization, and customer journey optimization.
Requirements
- 5+ years of experience in product analytics, data science, or a related analytical role with a proven track record of delivering business impact.
- Expert-level SQL skills for data extraction, transformation, and analysis.
- Proficiency with BI and visualization tools (e.g., Tableau, Looker, Hex, or similar) to build clear, impactful dashboards and reports.
- Familiarity with modern data modeling frameworks (e.g., dbt) and best practices in scalable analytics.
- Demonstrated ability to perform exploratory analyses on complex datasets, tackling ambiguous, open-ended questions and translating findings into clear, actionable insights.
- Excellent stakeholder management and communication skills, with the ability to distill complex findings into clear, compelling narratives for non-technical audiences.
- Self-starter who is proactive, adaptable, and thrives in fast-paced, dynamic environments with evolving priorities.
Benefits
- Competitive salary - $120k–190k (NYC based, in office Monday-Wednesday)
- Gym reimbursement
- Your choice of tech & noise-canceling headphones
- Free cellular service on the best network in the US
- Free lunch in NYC office & fully stocked kitchen
- MetroCard reimbursement
- Flexible working hours
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Data Scientist at Fidelity driving AI/ML innovations and solutions for financial growth. Collaborating cross - functionally to design and deploy advanced analytics and AI technology.
Senior Data Scientist at Enklare owning end - to - end ML models from data to production. Working across data engineering, data science and backend systems for financial impact.
Senior Data Scientist focused on supply chain analytics at Emerson. Collaborating with cross - functional teams to enhance master data quality and drive operational improvements.
Data Scientist responsible for end - to - end analytical solutions for iA Financial Group. Collaborating with business partners to enhance value using data innovation.
Junior Product Analyst role supporting the Product Manager in a tech company. Involved in organizing tasks, gathering information, and ensuring alignment for efficient project flow.
Data Scientist transforming business process data into actionable insights for clients. Collaborating on process improvement projects using cutting - edge process mining tools.
Data Manager ensuring the integrity and reliability of environmental quality data for ERM. Overseeing data lifecycle and collaborating with teams to deliver high - quality datasets.
Data Science Analyst at Nomura developing analytics products and supporting digital transformation. Collaborating with various teams to leverage data insights for strategic decisions.
Senior Data Scientist & AI Engineer advancing RLD Foundation’s data strategy in a collaborative environment. Building data infrastructure and conducting analytics to support social impact initiatives.