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Mid-level ML/AI role with popular skillset and moderate employer brand.
Technical ML and data engineering skills are transferable, but product and healthcare context raise sensitivity.
Requires explicit 4+ years plus mandatory SQL, Python, ML, and cloud skills.
Design, develop, and manage data pipelines and data models to support product data integration and engineering initiatives.
Analyze complex product data sets to extract insights and provide advanced analytics, visualization, and reporting to guide product strategy and business decisions.
Lead and mentor junior team members while collaborating with cross-functional teams to ensure data quality, reliability, and integration with product development processes.
Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or related field.
4+ years of experience in data engineering or analytics, preferably with focus on product data.
Strong proficiency in SQL, Python, R or similar programming languages, and experience with data visualization tools like Tableau or Power BI.
Experience with ETL processes and cloud-based data platforms (AWS, GCP, Azure) and familiarity with machine learning and statistical modeling techniques.
Experienced in working with product metrics, KPIs, and creating data-driven reports and dashboards aligned with product and business strategy.
Comfortable working in agile development environments and collaborating with product, engineering, and business teams.
Demonstrates ability to communicate complex analytical findings to non-technical stakeholders and implement process improvements for operational efficiency.