We are seeking a strategic and innovative Senior Data Scientist to join our high-performing Data
Science 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:
Masters 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.