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Data Scientist, CPG
3 months ago
The Role:
- Collaborating with business stakeholders to understand their problems and align on an approach.
- Taking ownership and executing client analytics projects.
- Independently interacting with internal/external clients to gather requirements and provide updates.
- Delivering outputs and communicating project progress to stakeholders.
- Developing comprehensive models/codes for time series forecasting.
- Working with client's internal stakeholders to drive data-driven decision-making and implementation.
- Ensuring client deliverables meet expectations in terms of scope, speed, and quality.
- Graduation in engineering / statistics / data analytics
- Possesses 3 to 5 years of post-graduation experience, dedicating at least 50% of that time to working with CPG clients or companies.
- Demonstrates proficiency in Python and pySpark programming and Exhibits familiarity with
- Databricks and the Azure Cloud environment
- Demonstrates a proven track record of tackling time series forecasting problems.
- Holds experience in Demand Forecasting, Consumption Forecasting, or Shipment
- Forecasting using a variety of machine learning methods.
- Displays strong collaboration skills, particularly when collaborating with technical teams like Data Science.
- Exhibits exceptional analytical thinking and the ability to break down complex problems into manageable solutions
- Possesses excellent verbal and written communication skills
- Displays willingness to travel as required
Submission
- If you see a good fit, please apply online to schedule a conversation
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