Senior Data Science Engineer
Core
Collaborate with business leaders to identify high-impact issues and convert them into data science initiatives, collecting and analyzing complex data to uncover trends and patterns that shape business strategy.
Role type
Senior Data Science Engineer
Builds
Predictive models, machine learning solutions, dashboards, and reports for forecasting, customer segmentation, and optimization.
Domain
Applied scientific research and development / Business Intelligence
Deliverable
production ML models | dashboards & analysis
Required skills
Python (Pandas, NumPy, Scikit-learn), SQL, PySpark, statistical analysis, data mining, machine learning (classification, regression, clustering, decision trees)
Preferred skills
Cloud data platforms (AWS, Azure, GCP), big data tools (Spark, Hadoop), data visualization (Tableau, Power BI, Matplotlib, R, SAS), NLP, experimental design, causal inference
Technologies
AWS, Azure, GCP, Hadoop, Spark, Tableau, Power BI, Matplotlib, R, SAS, Python, PySpark, SQL, numpy, pandas
Responsibilities
Collaborate with business leaders to identify high-impact business issues and convert them into data science initiatives; Collect, prepare, and analyze complex data from multiple sources to uncover trends, patterns, and insights; Develop and deploy predictive models and machine learning solutions for forecasting, customer segmentation, and optimization; Build and maintain detailed dashboards and reports for technical and non-technical audiences; Conduct exploratory data analysis and statistical analysis to reveal patterns, trends, and anomalies; Design and run A/B tests and other experiments to assess the impact of different initiatives
Seniority
Senior, hands-on IC