About this role
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
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Lead a small set of client engagements from initial data onboarding and pilot planning through live operation.
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Plan and justify analytical studies that show clear business value.
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Create automated, client-specific workflows that train models, generate scores and deliver results on a regular basis.
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Take part in working sessions with client analytics, subject-matter and IT groups to convert business questions into data solutions.
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Notice recurring themes across clients and bring the most valuable needs to product planning.
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Requirements
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What we're looking for
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At least 4 years of experience in data science or a related discipline.
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Confident client-facing skills, including leading working sessions alone and standing behind your approach when challenged.
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A track record of managing client relationships and speaking directly with customers.
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Experience planning and carrying out studies that produced measurable business results.
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Solid production Python skills, including pandas, scikit-learn and workflow orchestration: you deliver working code, not just notebooks.
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Hands-on work with large-scale distributed data processing for machine learning, using Spark.
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Background in healthcare or life sciences data, such as claims, health records, lab data or population health analytics.
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Skill in describing model behavior clearly and assessing results candidly.
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Experience delivering a sophisticated data or machine learning solution from design to launch.
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A self-starting mindset and readiness to take on varied responsibilities in a lean, fast-moving setting.
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Bonus points
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Prior experience at an early-stage or rapidly scaling startup.
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Benefits
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Compensation and benefits
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Base salary: USD 180,000 to 240,000 per year
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Equity
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Performance bonus
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Location and work model
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Remote (US)
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Full-time