We are seeking an experienced Senior Data Scientist to contribute to the design and execution of advanced analytical and machine learning solutions. This exciting role requires a strategic thinker who can link technical decisions to business objectives, mentor teams, and drive high-quality decision-making across cross-functional groups.
Required Qualifications to be successful at this role:
Technical Skills:
Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
Strong background in statistics, experimental design, and causal inference.
Proven ability to develop and scale complex ML/DL models for production environments.
Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML).
Advanced SQL expertise for large-scale data manipulation and workloads.
Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).
Experience leveraging big-data platforms (Spark, Databricks) to optimize model training and scoring.
Solid knowledge of cloud-based ML platforms such as Azure ML, SageMaker, or Vertex AI.
Soft Skills:
Ability to evaluate trade-offs and articulate sound technical choices.
Effectively translate complex technical concepts to non-technical audiences.
Exceptional mentoring skills to uplift mid/junior engineers and enforce standards and collaborative practices.
Strong aptitude for breaking down ambiguous challenges into actionable, executable solutions.
Ownership-minded approach to anticipate and resolve issues while driving long-term platform evolution.
Advanced proficiency in data visualization and storytelling tailored for executive-level audiences.
Skilled at establishing and mentoring teams to uphold best practices and technical excellence.
Experience:
Degree in Mathematics, Computer Science, Machine Learning, or a related field.
At least 5 years of professional experience in data science environments with proven success in building and architecting production-level data solutions.
English proficiency (minimum B2 level).