Participate in the design and evolution of advanced analytical solutions;
Develop and implement predictive and prescriptive models to support strategic decisions;
Design and build scalable data pipelines;
Create enriched analytical datasets by integrating multiple sources;
Apply AI techniques and advanced statistical methods;
Work closely with business and product teams;
Define best practices for modeling, version control, validation, and model governance;
Drive strategic initiatives and mentor team members;
Translate complex analyses into clear executive-level narratives.

Degree in Statistics, Engineering, Computer Science, Mathematics, or related fields;
Strong experience in statistical modeling and machine learning in production environments;
Proficient in Python or R for analysis and modeling;
Advanced SQL experience for data manipulation and building analytical datasets;
Experience with classification, regression, clustering, time series, and forecasting models;
Knowledge of model validation techniques;
Experience with cloud environments (AWS, GCP, or Azure);
Ability to connect business problems to robust analytical solutions;
Excellent communication skills for data storytelling and strategic influence.

Mid-level Data Scientist

Key skills