Note: The job is a remote job and is open to candidates in USA. itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development.
Responsibilities
- Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance
- Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives
- Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring
- Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning
- Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions
- Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions
- Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights
- Attend regular internal practice community meetings
- Collaborate with your itD practice team on industry thought leadership
- Complete client case studies and learning material (blogs, media material)
- Build out material to contribute to the Digital Transformation practice
- Attend internal itD networking events (in person and virtual)
- Work with leadership on career fast-track opportunities
Skills
- Proven experience using data science to support 0-to-1 product development
- Strong proficiency in Python for data analysis, statistical modeling, and automation
- Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets
- Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference
- Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies
- Knowledge of operational research techniques, including optimization, simulation, or decision analysis
- Experience translating complex analytical findings into actionable business recommendations
- Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment
- Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required
- Experience building or supporting data pipelines or a data engineering background
- Previous experience at Meta or another large technology company
- Experience supporting rapid product innovation within consumer technology environments
- Experience partnering closely with product teams on product strategy and experimentation
Benefits
- Comprehensive medical benefits
- A 401(k) plan
- Paid holidays
- Medical, dental, vision, life insurance
- Paid holidays
- 401K + matching
- Networking & career learning and development programs
Company Overview