Key Responsibilities - Translate unstructured business questions into quantitative problems - Provide advanced analytics support including machine learning, big data, and statistical modeling across multiple functional areas - Advise on appropriate analytical models based on available data, technology, and platform - Collaborate with stakeholders and partners to implement solutions - Evaluate machine learning algorithms and models, providing technical recommendations for decision making - Prototype and optimize advanced analytics and machine learning solutions iteratively - Monitor data science product performance and initiate corrective actions when needed - Partner with IT to productionalize machine learning models - Anticipate needs and lead implementation of new capabilities, technologies, and partnerships - Drive knowledge sharing and foster a data-driven culture across the organization Requirements / Qualifications - Master's degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline - At least 5 years of experience in data science with a proven track record of delivering measurable business impact - Strong analytical skills with the ability to recommend algorithms and methodologies for complex problem-solving - Proficiency in Python and AWS cloud stack is essential - Knowledge of Spark, R, Hive, Hadoop, SQL and data visualization tools such as QlikView or PowerBI is an advantage - Experience in productionalizing analytics solutions is desirable - Solid understanding of database concepts, data modeling and business intelligence practices - Excellent communication skills to clearly articulate ideas to stakeholders at all levels - Passion for AI, innovation and uncovering business value through data-driven solutions - Candidates with less experience will be considered for the Associate Data Scientist role Preferred / Nice to have - Spark, R, Hive, Hadoop, SQL, QlikView/PowerBI; experience productionalizing analytics solutions Selection process / Benefits (if stated) - Not stated ---