Data Scientist Manager, BillionToOne

• The ideal candidate will have a strong background in data manipulation, statistical analysis, and machine learning, with experience in working with large datasets from various sources
• This role requires a blend of deep technical expertise, leadership skills, and a strong understanding of both scientific research and business fundamentals
• The ideal candidate will have a MS or PhD in a relevant field, advanced data manipulation skills in R or Python, proficiency in SQL, and experience working with various data formats
• Master’s or PhD in biological sciences, computer science, statistics, mathematics, or a related quantitative field
• Proficiency in data manipulation and analysis using R or Python
• Strong knowledge of SQL for data retrieval and management
• Ability to retrieve and munge data from disparate sources and formats (e.g., SQL, JSON, CSV, XLSX)
• Understanding of business fundamentals such as revenue, profit, customer acquisition cost, lifetime value, and cohort analysis
• Effective communication skills and the ability to work collaboratively with cross-functional teams
• Strong leadership and experience managing technical teams and mentoring and fostering employee growth and development
• Excellent problem-solving and analytical skills
• Ability to work independently and manage multiple projects simultaneously
• Effective communication skills, with the ability to convey complex data insights to non-technical stakeholders
• Detail-oriented with a commitment to producing high-quality, accurate work
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities

Desirable

• As a Data Scientist Manager at BillionToOne, you will play a key role in leading, analyzing complex genetic data, and developing models that enhance our genetic testing products
• You will work closely with cross-functional teams, including bioinformatics, product development, and marketing, to provide data-driven insights that inform strategic decisions
• Lead and mentor a team of data scientists and analysts, fostering a collaborative and innovative environment
• Develop and implement data strategies that support the company's genetic testing products and services for bioinformatics and commercial data goals
• Additionally, this role will involve close collaboration with cross-functional teams to inform decision-making and drive growth
• Perform advanced data manipulation and analysis using R or Python, ensuring high-quality and reproducible results
• Retrieve, clean, and integrate data from disparate sources such as SQL databases, JSON, CSV, and XLSX files
• Conduct complex data analyses to inform business decisions, focusing on key metrics like revenue, profit, customer acquisition cost, lifetime value, and cohort analysis
• Collaborate with cross-functional teams, including product, marketing, finance, and operations, to provide data-driven insights and recommendations
• Communicate complex data findings in a clear and actionable manner to stakeholders at all levels of the organization
• Stay current with the latest research and advancements in data science and genetic testing