Senior Data Scientist
Job description
About the role
You will identify meaningful business and product opportunities that are currently unaddressed within the Medely marketplace, and you will develop the insights, models, and systems required to drive measurable impact. You will build advanced machine learning, optimization, and analytics solutions designed to improve marketplace efficiency at scale and directly influence strategic direction. You will design and execute experiments and observational studies that generate actionable insights for product and operational teams. You will partner cross-functionally to define key metrics, refine logging and instrumentation, and construct data visualizations and diagnostic tools that enable smarter decision-making. You will deliver ad hoc analyses and investigate performance trends, operational issues, and metrics-based opportunities with minimal guidance. You will translate complex analytical findings into clear recommendations and compelling narratives that shape strategic priorities across the organization. You will help orient teams around data-driven product development and foster a culture of thoughtful experimentation and rigorous decision-making within a fast-growing environment.
Key facts
What you'll do
- Identify meaningful business and product opportunities that are currently unaddressed, and develop the insights, models, and systems needed to drive measurable impact.
- Build advanced machine learning, optimization, and analytics solutions that improve marketplace efficiency at scale.
- Design and execute experiments and observational studies that generate actionable business and product insights.
- Partner cross-functionally to define key metrics, improve logging and instrumentation, and build data visualizations and diagnostic tools that enable smarter decision-making.
- Deliver ad hoc analyses and investigate performance trends, operational issues, and metrics-based opportunities with minimal guidance.
- Translate complex analyses into clear recommendations and compelling narratives that influence strategic direction across the organization.
- Help orient teams around data-driven product development and foster a culture of thoughtful experimentation and rigorous decision-making.
- Collaborate closely with Product, Engineering, and Operations to build science-driven solutions that enhance marketplace performance.
- Shape product strategy by leveraging quantitative insights to guide priority setting and roadmap decisions.
- Evaluate the impact of implemented models and initiatives using rigorous methods to ensure continuous improvement.
Requirements
- Hold a Ph.D. or M.S. in a quantitative field with 3+ years of experience, or a Bachelor's degree with 7+ years of experience in Data Science, Analytics, or a related discipline.
- Demonstrate strong foundation in experimental design and analysis, with the ability to translate findings into meaningful business or product decisions.
- Exhibit advanced proficiency in SQL and experience leveraging business intelligence tools to uncover insights and guide strategy.
- Show competency in Python, R, or another scripting language for data analysis, modeling, and problem-solving.
- Possess ability to distill complex data into clear, compelling narratives that influence decision-making.
- Prove proven success partnering cross-functionally and communicating effectively with both technical and non-technical stakeholders.
- Bring experience applying data science to marketplace optimization challenges, including pricing, matching, or supply-demand dynamics.
- Display a builder's mindset, thriving in fast-moving environments, embracing ambiguity, and taking ownership from insight through execution.
Nice to have
- Experience applying data science to marketplace optimization challenges, including pricing, matching, or supply-demand dynamics.
- A builder's mindset - you thrive in fast-moving environments, embrace ambiguity, and take ownership from insight through execution.
- Naturally curious and eager to explore new tools, methods, and approaches that unlock better outcomes.
- Passionate about using data to shape products that create meaningful value for customers and the business.
Practical notes
Work location is flexible if approved by Medely.
We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.
Work location is flexible if approved by Medely.
Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of "ownership" of the candidate.