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. 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