Lead Data Scientist

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🏄 California – Remote

🏄 California – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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OneSix

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

Artificial Intelligence • Data & Analytics • Healthcare & Life Sciences

OneSix is a company that harnesses the power of data and AI to drive practical business outcomes across various sectors. With expertise in Data & AI Strategy, Data Engineering, Data Analytics, and AI & Machine Learning, they provide end-to-end solutions tailored to meet the unique challenges in industries such as Financial Services and Healthcare. Their skilled team of Data Engineers, Data Scientists, and AI/ML Engineers work closely with clients to unlock data potential and enhance operational efficiency.

📋 Description

• Own client engagements end-to-end: scope the problem, build the solution, manage expectations, and deliver • Lead small project teams and serve as the technical and strategic point of contact for clients • Design, build, and deploy ML solutions across a range of domains and use cases in a landscape where no two projects are the same • Work across the full deployment spectrum including managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized Python solutions running on raw infrastructure • Mentor junior and senior data scientists and help shape how we practice ML at OneSix • Evaluate emerging tools and techniques and bring the right ones to bear on client problems

🎯 Requirements

• 6+ years of hands-on ML experience with a track record of shipping models to production • Background in consulting, professional services, or client-facing delivery strongly preferred, you know how to manage scope, communicate risk, and keep a client confident • You have a strong suit in at least one area: predictive/classical ML, computer vision, or LLM/agentic systems. You’re comfortable being stretched into adjacent ones • Comfortable across the full deployment stack: managed cloud services and building from scratch with Python, Docker, and EC2-style infrastructure. You write clean production code, not just notebook code. • Fluency in Python and SQL; comfortable with Git and frameworks like PyTorch, Scikit-learn, or Hugging Face depending on your domain • Experience with experiment tracking and ML lifecycle management (MLflow, Weights & Biases, or similar) • M.S. or Ph.D. in a quantitative field, or equivalent depth demonstrated through shipped work • Strong communicator who can make a complex model legible to a non-technical executive and to a skeptical engineer • Must be based in the US or Canada.

🏖️ Benefits

• Competitive compensation • Company-paid medical, vision, dental, and wellness benefits for employees • Company-provided home office equipment • Flexible vacation and sick days • Team-oriented and supportive working environment • Company-sponsored events and swag