Senior Data Scientist

What you'll do

• Lead development and deployment of statistical and machine-learning solutions; analyze large datasets and run experiments, including A/B tests.
• Partner with clients and technical teams to define business problems, integrate models into production systems, and communicate results.
• Build reusable tooling, mentor data scientists, and help establish practices for code quality and model evaluation.

What they ask for

• 6+ years of hands-on data science experience, including client-facing or forward-deployed work.
• Proficiency in Python, common ML/data libraries, and SQL; experience taking models from prototype to production.
• Experience with large-scale datasets and distributed tools such as Spark, and comfort with cloud environments such as GCP or AWS.
• Strong knowledge of statistical modeling, experimental design, model evaluation, and data debugging; strong communication skills.

Nice to have

• Familiarity with MLOps practices such as model tracking, versioning, and reproducibility.
• Experience contributing to multi-model systems or pipelines built by larger data science and engineering teams.

Pay

$193,000 - $250,000 USD (annual salary)

Tools

Python, NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, SQL, Spark

AI focus

Develop and deploy AI-powered solutions and machine-learning models for operational problems; evaluate model performance in production and improve product and business outcomes.