Senior Data Scientist

Senior Data Scientist

Key Responsibilities

• Lead and execute end-to-end data science projects, encompassing problem definition, data exploration, model creation, assessment, and deployment.
• Develop and deploy predictive models, optimization techniques, and statistical analyses to address tangible business needs.
• Articulate complex findings through clear and persuasive storytelling for both technical experts and non-technical stakeholders.
• Spearhead experimentation methodologies, such as A/B testing, to enhance product features and overall business outcomes.
• Partner with data engineering teams to establish dependable and scalable data infrastructure and production-ready models.
• Guide and mentor junior data scientists, while also fostering team best practices and contributing to research endeavours.

Required Qualifications & Skills:

• Bachelors or Master’s degree in Computer Science, Engineering, or a related field
• 6+ years of practical experience in data science, including deploying models to production.
• Expertise in Python and SQL;
• Solid background in ML frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost.
• Competence in data visualization tools like Tableau, Power BI, matplotlib, and Plotly.
• Comprehensive knowledge of statistics, machine learning principles, and experimental design.
• Experience with cloud platforms (AWS, GCP, or Azure) and Git for version control.
• Exposure to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD).
• Familiarity with NLP, time series forecasting, or recommendation systems is a plus.
• Knowledge of big data technologies (Spark, Hive, Presto) is desirable.