Note: This job is only available on a W2 basis, so we do not engage with employers for C2C.
Summary: We are seeking a highly skilled Data Science Lead to drive the development of data-driven insights that enhance user experience. This role will involve defining experimentation strategies, analyzing complex data, and collaborating with cross-functional teams to optimize product performance. The ideal candidate will have a strong background in data science, statistical modeling, and data storytelling.
Requirements and Qualifications:
- Master's degree or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science, or a related field.
- 5+ years of industry experience in data science and analytics.
- Proven expertise in designing and executing experiments using various datasets.
- Proficiency in data querying languages (e.g., SQL) and scripting languages (e.g., Python, R).
- Strong background in statistical modeling, regression analysis, and data visualization.
- Experience in data cleaning and transformation.
- Ability to communicate analytics results and data insights effectively to influence stakeholders and leadership.
- Creative problem-solving skills with a first-principles reasoning approach.
Roles and Responsibilities:
- Lead the definition and implementation of data science processes to enhance user experience.
- Collaborate with cross-functional leaders to develop and refine the experimentation strategy.
- Identify opportunities to leverage existing data from multiple sources for strategic decision-making.
- Partner with leadership to determine optimal resource allocation for the data science team.
- Develop predictive models to analyze user behavior and product usage patterns.
- Analyze complex datasets using a range of analytical tools and methodologies.
- Establish and monitor key UX metrics to measure the success of product initiatives.
- Collaborate with UX researchers to generate actionable insights and recommendations.
Job Types: Full-time, Contract
Pay: Up to $50.00 per hour
Benefits:
Schedule:
- 8 hour shift
- Monday to Friday
Education:
Experience:
- Data science: 5 years (Required)
Work Location: In person