About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Take responsibility for a handful of client relationships, shaping analytical studies and delivering automated machine learning workflows into production. Serve as the go-to analytical expert when meeting client stakeholders, and relay recurring needs to the product team.
What you'll do
- Lead a small set of client engagements from initial data onboarding and pilot planning through live operation.
- Plan and justify analytical studies that show clear business value.
- Create automated, client-specific workflows that train models, generate scores and deliver results on a regular basis.
- Take part in working sessions with client analytics, subject-matter and IT groups to convert business questions into data solutions.
- Notice recurring themes across clients and bring the most valuable needs to product planning.
Requirements
What we're looking for
- At least 4 years of experience in data science or a related discipline.
- Confident client-facing skills, including leading working sessions alone and standing behind your approach when challenged.
- A track record of managing client relationships and speaking directly with customers.
- Experience planning and carrying out studies that produced measurable business results.
- Solid production Python skills, including pandas, scikit-learn and workflow orchestration: you deliver working code, not just notebooks.
- Hands-on work with large-scale distributed data processing for machine learning, using Spark.
- Background in healthcare or life sciences data, such as claims, health records, lab data or population health analytics.
- Skill in describing model behavior clearly and assessing results candidly.
- Experience delivering a sophisticated data or machine learning solution from design to launch.
- A self-starting mindset and readiness to take on varied responsibilities in a lean, fast-moving setting.
Bonus points
- Prior experience at an early-stage or rapidly scaling startup.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 240,000 per year
- Equity
- Performance bonus
Location and work model
- Remote (US)
- Full-time
Skills Required
- At least 4 years of experience in data science or a related discipline
- Confident client-facing skills, including independently leading working sessions and defending analytical approaches
- Track record of managing client relationships and speaking directly with customers
- Experience planning and carrying out studies that produced measurable business results
- Production Python skills, including pandas, scikit-learn, and workflow orchestration
- Hands-on experience with large-scale distributed data processing for machine learning using Spark
- Background in healthcare or life sciences data, such as claims, health records, lab data, or population health analytics
- Ability to describe model behavior clearly and assess results candidly
- Experience delivering a sophisticated data or machine learning solution from design to launch
- Self-starting mindset and readiness to take on varied responsibilities in a lean, fast-moving setting
- Prior experience at an early-stage or rapidly scaling startup
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
