Senior Data Scientist

We are seeking a strategic and innovative Senior Data Scientist with 8+ years of experience to join our high-performing Data
Science team. In this role, you will lead the design, development, and deployment of advanced
analytics and machine learning solutions that directly impact business outcomes. You will collaborate
cross-functionally with product, engineering, and business teams to translate complex data into
actionable insights and data products.

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 endeavors.

Required Qualifications & Skills:
● Master’s or PhD in Computer Science, Statistics, Mathematics, or a related discipline.
● 5+ 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.