Develop and implement predictive and prescriptive models using advanced analytics techniques.
Perform feature engineering, data preprocessing, and model optimization.
Analyze large datasets to uncover trends, patterns, and business opportunities.
Translate analytical findings into clear, actionable insights for stakeholders.
Collaborate with cross-functional teams to integrate models into production systems.
Ensure data quality, governance, and compliance with organizational standards.
Develop and implement predictive and prescriptive models using advanced analytics techniques.
Perform feature engineering, data preprocessing, and model optimization.
Analyze large datasets to uncover trends, patterns, and business opportunities.
Translate analytical findings into clear, actionable insights for stakeholders.
Collaborate with cross-functional teams to integrate models into production systems.
Ensure data quality, governance, and compliance with organizational standards.
7-10 years of experience in analytics, data science, or related fields.
Strong proficiency in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Expertise in statistical modeling, forecasting, and optimization techniques.
Hands-on experience with data visualization tools (Power BI, Tableau).
Knowledge of cloud platforms (AWS, GCP, Azure) and ML pipelines (Airflow).
Excellent communication skills to present insights to business leaders.
Preferred:
Experience in retail, inventory management, or supply chain analytics.
Familiarity with big data technologies (Spark, Hadoop).