Job Details

• Interact with the business to understand its needs and develop use cases for analytics to support its operations.
• Lead implementation of analytic approaches. Efficiently query large volumes of data and quickly draw insights.
• Analyze historical data to identify trends and support optimal decision-making.
• Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics solutions, and deployable into Production for use by the business.
• Develop, validate, and deploy machine learning and predictive models/algorithms.
• Analyze large datasets to extract meaningful insights and patterns.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Create dashboards and reports using tools like PowerBI and Tableau to communicate findings and recommendations to stakeholders.
• Continuously monitor and refine models based on new data and feedback from clients.
• Collaborate on cross-functional project planning, business partner meetings, data prioritization meetings, etc
• Stay abreast of industry trends and advancements in data science.

Qualifications &Experience

• Bachelor's degree required in the field of data science computer science, engineering, mathematics, statistics, or related fields.
• Experience in developing machine learning/ analytical models to support business activity.
• Experience with Python or R required.
• Experience with dashboarding tools (PowerBI, Tableau).
• Ability to structure a problem, and gather supporting data using big-data technology (SQL, Python).
• Proven ability to develop and implement advanced statistical models and machine learning algorithms.
• Ability to work independently and in a team environment.