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Data Scientist - Consumer Analytics, Forecasting
Data Scientist - Consumer Analytics, Forecasting
The Data Scientist - Consumer Analytics, Forecasting will manage end-to-end data science initiatives, from understanding business needs to deploying models. This role involves analyzing data, interpreting findings, making business recommendations, and engaging in pre-sales activities.
About the role
About the Role
As a Data Scientist - Consumer Analytics, Forecasting, you will be responsible for running end-to-end initiatives from business understanding to deployment, analyzing and interpreting findings, and providing conclusions and recommendations with an emphasis on ROI. This role also involves pre-sales activities at a senior consultant level.
Tasks
- 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