Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects
Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy
Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization
Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools
Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies
Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences
Design and execute A/B tests and other experiments to measure the impact of different initiatives
Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.

Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics
3–5 years of hands-on experience in a Data Scientist or Senior Data Analyst role
Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark
Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees)
Excellent verbal and written communication skills with the ability to tell a story with data
Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.

Senior Data Science Engineer – Data Scientist

Key skills