Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global technology platform operates a large-scale marketplace that relies on advanced data science, experimentation, machine learning, and analytics to support business and product decisions. Its Science teams work in a fast-moving environment where data-driven insights help shape products, optimize operations, and influence strategic decisions across the organization.
The Data Science team focuses on transforming large volumes of complex and unstructured data into actionable insights. Scientists collaborate closely with engineers, product leaders, and business stakeholders to solve ambiguous problems, develop analytical frameworks, and create data-driven strategies that operate effectively at significant scale.
Compensation and Benefits
- Annual salary range of $200,600 to $232,000.
- Eligibility to participate in a bonus program.
- Eligibility for additional forms of compensation.
- Eligibility for various employee benefits.
- May include telecommuting opportunities.
Key Responsibilities
- Refine ambiguous business and product questions and generate new hypotheses through a deep understanding of data, customers, and business objectives.
- Design experiments and interpret results to develop detailed and actionable conclusions that inform strategic decisions.
- Develop metrics in collaboration with cross-functional partners to define how teams measure success.
- Create AI-powered systems and analytical approaches to understand changes and movements in key business metrics.
- Develop data-driven insights and collaborate with cross-functional teams to identify opportunities for improving long-term strategy and product roadmaps.
- Collaborate with Scientists and Engineers to build, enhance, and maintain strong data foundations.
- Present analytical findings and strategic recommendations to business leaders and executive audiences.
- Drive data science initiatives from idea development through implementation and production.
- Navigate ambiguous and high-priority problems while maintaining analytical rigor and business focus.
Basic Qualifications
- Bachelor’s degree in Computer Science, Statistics, Economics, Engineering, or a related field.
- 5 years of progressive, post-baccalaureate experience in the position offered or a related occupation.
Required Skills and Experience
- Experience applying experimentation methodologies, including time-series evaluation, difference-in-difference, and synthetic control methods, to translate raw data into actionable insights for senior management.
- Proficiency in Python, R, and SQL for data extraction, data cleaning, statistical analysis, and development of predictive machine learning models.
- Experience working with internal and external data tools and platforms.
- Ability to leverage external knowledge and statistical techniques to forecast industry trends and support data-driven business decisions.
- Experience developing roadmaps and managing high-risk data science programs, including identifying potential data crises and changes in metric movements.
- Experience applying project management frameworks such as RAPID decision-making and Gantt charts to ensure technical integrity and timely delivery of complex data science projects.
- Experience applying prioritization techniques such as Return on Investment (ROI) and Break-Even Analysis to determine which models, features, or initiatives provide the greatest business value.
- Experience applying analytical frameworks such as SWOT analysis, benchmarking, and root-cause analysis to interpret complex datasets and solve ambiguous business problems.
- Experience negotiating and managing technical resource allocation and priorities across cross-functional teams.
- Ability to coordinate stakeholders and technical resources to ensure timely delivery of scalable data products.
- Strong communication skills with the ability to present complex technical findings to both technical and executive audiences.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
