
1) Lead Data Scientist:
Job Description:
Location: Mumbai
Experience: 12+ years of relevant experience
Responsibilities:
- Defines the analytics roadmap for the clients
- Be hands-on as well manage and guide a team of high performing data scientists and business analysts
- Responsible for Descriptive, Predictive and Prescriptive analytics to solve complex business problems
- Perform machine learning, statistical analysis methods, such as classification, time-series analysis, regression, statistical inference, validation methods and so on
- Leverage structured as well as unstructured data to generate business insights through detailed analysis
- To communicate the analysis in a compelling manner through innovative data visualisation platforms, tools
- Ability for exploratory data analysis with good understanding of SQL and Data analysis tools
- Participate in new business pitches and develop proposals
- Publish white papers on innovative analytics work done
- Build new data science capabilities within the organization
- Build scoring algorithm designs specifications applying various statistical procedures to the data, analyses output and determines the next action
- Maintains records of project progress and revisions and coordinates project archival and documentation procedures.
- Clients: Pharma, Retail, FMCG,IOT, Entertainment companies or agencies
- Techno functional role hence understanding of both the aspect is important
- Managing a team of 20 employees.
Qualification:
BE / BTech /Econometrics from premier institutes like IITs /RECs, ISI.
Client interfacing and project management skills
Core Skills:
- Excellent knowledge of Statistical, Machine Learning, Deep Learning and Database concepts
- Building models, implemented models to client
- Knowledge of multiple tools such as R, Python
- Expertise in RDBMS, SQL, Queries and Exploratory Analysis
- Ability to understand the client business and capture business process and events
- Keen eye for details and data visualization
- Good communication skills and strong ability to work effectively in a team environment
- Good project management skills with a focus and responsibility for flawless, timely delivery
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