Go Back
Data Scientist
- IT, Software development, System Engineering Jobs
Description
Work on data manipulation using tools such as excel, R/Python, SQL
- Modify/enhance existing codes (in R/Python) to connect technical outputs with business context
- Perform statistical analyses (descriptive & inferential) using basic concepts like correlations & hypothesis testing
- Should have working knowledge of ML concepts like clustering, regression, classification
- Consistently display an intent for problem solving
BUSINESS ENVIRONMENT
Main Characteristics:
· Detail oriented, analytical and inquisitive
· Ability to learn on the go
· Ability to effectively communicate and present information at various levels of an organization
· Ability to work independently and with others
· Evaluation Criteria (Targets): Position will be responsible to support Global Category Management. It will entail working very closely with GHQ, BUs and GAC teams.
Responsibilities
QUALIFICATIONS, EXPERIENCE, SKILLS
Please list the following requirements
- Level of educational attainment required:
- B.Tech/BE
- Previous work experience required
- Minimum 2 years of experience in analytics/data science with hands-on experience in Excel, R/Python and SQL
- Language skills required
- Scripting languages – R or Python
- IT skills required
- Hands-on experience in data manipulation using Excel, R/Python, SQL
- Other Skills required
- Passion for solving problems using data
- Detail oriented, analytical and inquisitive
- Ability to learn on the go
- Ability to effectively communicate and present information at various levels of an organization
- Ability to work independently and with others
Hard Skills
- Coding and Programming (Python, C#, Java, PHP, etc
- Data Analytics
- Statistical Analysis
- Quality assurance
- Software development
Soft Skills
- Communication
- Leadership
- Adaptability
- Strategic thinker
- Skilled Collaborator