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Data Science SBO CRL Professional
2 weeks ago
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 (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 credibilityWork Experience:
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
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 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
