Senior Data Scientist
About The Position
As a Senior Data Scientist, you’ll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You’ll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable data science solutions on top of our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts data scientist and technical consultant. It’s perfect for an experienced data scientist who wants to stay hands-on, lead high-impact work, and stay close to the results it generates.
Requirements
- 6+ years of hands-on experience in data science, including client-facing or forward-deployed work
- A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent professional experience
- Strong proficiency in Python and common ML/data libraries (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, etc.), along with strong SQL skills
- A proven track record of taking models from prototype to production
- Solid grasp of statistical modeling, experimental design, model evaluation, and data debugging
- Experience working with large-scale datasets using distributed tools such as Spark
- Comfort navigating cloud environments (GCP, AWS, or similar)
- Strong code hygiene: you write clean, modular, testable code in collaborative environments
- Strong communication skills — you can explain data decisions and build trust with technical and non-technical stakeholders
- Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
- Willingness to be on-call for our customers when situations arise
Nice To Haves
- Familiarity with MLOps practices (model tracking, versioning, reproducibility)
- Experience contributing to multi-model systems or pipelines built by larger teams of data scientists and engineers
Responsibilities
- Lead the scoping, development, and deployment of end-to-end statistical and ML solutions to complex operational problems, partnering with delivery leaders and clients
- Work directly with clients to frame ambiguous business challenges, explore solution paths, and translate technical insights into measurable results
- Build, test, and deploy machine learning models that operate reliably in dynamic production environments
- Explore and analyze large datasets from diverse sources to inform model design and evaluate performance under realistic constraints
- Design and run experiments (including A/B tests) to measure and improve product and business performance
- Partner with software engineers and fellow data scientists to integrate models into deployable systems
- Build reusable tooling and infrastructure that accelerates future model development and deployment
- Mentor other data scientists and help set best practices for code quality, experimentation, and model evaluation
Benefits
- Bonuses and equity are included in all full-time offers.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
