Manages successful client delivery own the analytics consulting and deliverables for large Tier 1 clients or a portfolio of smaller clients.
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