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 – Monte Carlo, Agent based simulations is a plus