Applied Data Scientist

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.

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.

Compensation and benefits

- Base salary: USD 180,000 to 240,000 per year

- Equity

- Performance bonus

Location and work model

- Remote (US)

- Full-time