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Data Scientist - Consumer Anaytics, Forecasting
Data Scientist - Consumer Anaytics, Forecasting
The Data Scientist - Consumer Analytics, Forecasting will manage end-to-end data science initiatives, from business understanding to model deployment, with a focus on consumer analytics and advanced forecasting. Responsibilities include interpreting findings, providing recommendations with ROI, and participating in pre-sales activities.
About the role
About the Role
As a Data Scientist focusing on Consumer Analytics and Forecasting, you will be responsible for running end-to-end data science initiatives, from understanding business needs to deployment. This role involves analyzing and interpreting findings, drawing conclusions, and providing recommendations, including measuring ROI for business process enhancements. You will also participate in pre-sales activities at a senior consultant level.
Responsibilities
- Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
- Analyzing and interpreting the findings
- Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
- Pre-sales activities (at senior consultant level)
Requirements
Must Have:
- Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
- Familiarity with customer analytics DS concepts or advanced forecasting
- Model hyperparameter tuning
- Model validation frameworks
- Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
- Fluency in Python, basic working knowledge of SQL
- Knowledge of specific DS/ML libraries
- Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
Nice To Have:
- Understanding of Causal machine learning
- Experience in working with big data and distributed environments would be a plus
- Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
- Experience with OOP in Python
- Experience with MLOps
- Familiarity with other languages R, Scala would be a plus
General:
- Basic computer programming skills and familiarity with programming concepts
- Strong business acumen
- Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems
- Ability to come up with creative solutions to address customer problems