Senior Data Scientist
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Job Description
Senior Data Scientist advancing AI-driven products at Pearl. Collaborating across teams to transform complex data into actionable insights and scalable solutions.
Responsibilities:
- Lead the design and execution of data science projects that directly impact Pearl’s AI products and business outcomes
- Analyze large, complex datasets to uncover insights, trends, and opportunities
- Build and validate statistical models, experiments, and predictive analyses
- Partner with engineering and ML teams to productionize data science work
- Define metrics and KPIs to measure product performance and clinical impact
- Communicate findings clearly to technical and non-technical stakeholders
- Mentor junior data scientists and promote best practices across the team
Requirements:
- Bachelor’s or advanced degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field)
- 8+ years of experience in Data Science, Machine Learning, or Applied AI roles
- Strong foundation in statistics, data processing, and machine learning techniques, with hands-on experience using widely adopted open-source frameworks
- Proven track record of developing and deploying production-ready machine learning systems, including experience with MLOps practices.
- Advanced proficiency in Python and SQL, with experience working in modern cloud data warehouses such as Snowflake
- Experience working with cloud platforms and designing scalable data and ML solutions
- Strong written and oral communication skills
Benefits:
- Competitive Benefit and Compensation Offerings
- Ongoing Training and Development Opportunities
- Unaccrued, Flexible PTO
- Remote Work
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