Data Scientist Manager

$165,000 - $200,000/Yr

Billiontoone - Menlo Park, CA

Full-time - Senior

Menlo Park, CA

251-500 employees

Ambulatory Health Care Services

About the position

As a Data Scientist Manager at BillionToOne, you will lead a team in analyzing complex genetic data and developing models to enhance genetic testing products. This role involves collaboration with cross-functional teams to provide data-driven insights that inform strategic decisions, requiring a blend of technical expertise, leadership skills, and a strong understanding of scientific research and business fundamentals.

Responsibilities

• 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.
• 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.

Requirements

• 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.
• Detail-oriented with a commitment to producing high-quality, accurate work.

Nice-to-haves

• 1-2 years of data analysis experience working with cross-functional teams in a high-growth company setting.
• Knowledge of business fundamentals, including revenue, profit, customer acquisition cost, and lifetime value.
• Experience working in a high-growth company setting.

Benefits

• Paid parental leave
• On-site gym
• Parental leave
• 401(k) matching
• Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80%
• Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
• Retirement savings program including a 4% Company match
• Free daily on-site lunches provided from top eateries
• Latest and greatest hardware (laptop, lab equipment, facilities)
• A variety of perks on campus (state of the art gym, restaurant)
• Free on-site EV charging (compatible with all EVs, including Tesla)