Responsibilities
Roles & Responsibilities: • Understand the requirements from the business and translate it into an appropriate technical requirements. • Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. • Perform activities related to data wrangling, model building and model deployment. • Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. • Lead initiatives to improve the team morale, camaraderie, and collaboration
Technical Requirements
Must Have Skills: • Hands-on experience in Data Science, Python/R Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning. • Ability to communicate actionable insights using data, often to a non-technical audience. • Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation • Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage. • Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes. • A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement.
Preferred Skills
Technology->Data Science->Machine Learning
Additional Responsibilities
Nice to have Skills: • SQL knowledge and experience working with relational databases. • Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing). • Understanding of the project lifecycles: waterfall and agile. Soft Skills: • Strong verbal and written communication skills with the ability to work well in a team. • Strong customer focus, ownership, urgency and drive. • Ability to handle multiple, competing priorities in a fast-paced environment. • Work well with the team members to maintain high credibility Work Experience: • 2 - 5 years of experience in Data Analytics, Data Science or Data Visualization. Educational Requirements (any of the following): • Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record. Additional Academic Qualification (good to have): • Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record. • PhD in any stream. Location: • Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore
Educational Requirements
Bachelor of Engineering,BBA,BSc,MSc,MCA
