Job
Description
Educational Requirements
MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line
Data & Analytics Unit 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
Additional Responsibilities:
Nice to have Skills:SQL knowledge and experience working with relational databases.Understanding of any one of domain (EgRetail, Supply chain, Logistics, Manufacturing).Understanding of the project lifecycleswaterfall 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 credibilityWork 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.LocationBangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore
Technical and Professional 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 situationGood 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