Responsibilities: -
- Working with business stakeholders to define and ideate data science-based solutions to existing business problems
- Processing, cleansing, and verifying the integrity of data to be used for analysis
- Creation, validation and maintenance of ML/DL models based on business requirements
- Recommend enhancements to current data collection procedures to include information that is relevant for building analytic systems
Skills and Qualifications: -
- Excellent understanding of basic statistics, machine learning techniques and algorithms, and their application to business problems such recommendation systems, customer purchase propensity models, etc.
- Demonstrated experience in working with a diverse team showcasing excellent communication skills to articulate and understand business problems
- Experience with common data science toolkits, such as AzureML, AWS Sagemaker, Python, R etc.
- Proficiency in using query languages such as SQL, Hive, Pig etc.
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.
- Experience with Adobe Analytics suite is a plus
- Working Knowledge of Power Bi/Tableau
Experience: -
- Graduate degree in Engineering/Statistics/Economics
- 3+ years of experience, working as a Data Scientist.
- Prior experience with Marketing Analytics with specific focus on Market Mix models is a plus
- Prior experience with simulation models β Monte Carlo, Agent based simulations is a plus
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