Data Scientist

Job Title: Senior Data Scientist – Big Data & Analytics

Location: Bangalore

Required Skills & Experience

Python, Machine Learning, Databases, Statistics, Modeling, Data Visualization, cloud technologies, Big Data, Data Engineering, ETL Processes, Kafka,Spark, Hadoop, Looker, Tableau, Power BI, Cloud Computing,data mining, Data Gathering,ML modelling,

JD As below:

Key Responsibilities:

• Mines and extracts data and applies statistics and algorithms necessary to derive insights for Digital products and or services.

• Supports the generation of an automated insights generation framework for business partners to effectively interpret data

• Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, and other related services .

• Develops dashboard reports that measure financial results, customer satisfaction, and engagement metrics

• Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide the organization a competitive advantage

• Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects

• Contributes subject-matter expertise on automation and analytical projects, collaborating across functions

• Translates requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager

• Contributes for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders

• Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates

• Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business

• Executes plans for measuring impact based on discussions with stakeholders, partners and senior team members

• Executes projects with full adherence to enterprise project management practices