Data Scientist
7 days ago
Enthusiastic and self-motivated, with ability to execute Supply Chain Analytics projects proactively
- Meticulous attention to detail, with an overall passion for continuous improvement
- Innovative and creative, with a logical and methodical approach to problem solving
- Credible and articulate, with excellent communication, presentation, and interpersonal skills
**Educational Qualification**:
Bachelors/Masters/PhD in Statistics / Econometrics/ or any other quantitative
- Experience in Python, SQL, GCP or any other cloud platforms
- Execute high impact business projects with time bound and effective project management leveraging tools like Rally, Jira
- Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions
- Use statistical methodologies leveraging analytical tools to support different business initiatives
- Compile and analyze the results from modeling output and translate into actionable insights through dashboards
- Acquire and share deep knowledge of data utilized by the team and its business partners
- Participate in global conference calls and meetings as needed and manage multiple customer interfaces
- Execute analytics special studies and ad hoc analyses in a quick turn around time
- Evaluate new tools and technologies to improve analytical processes
Efforts will focus on the following key areas:
- Domain - Supply Chain Analytics
- Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
- Machine Learning, Text Mining, NLP, Gen AI
- Time Series based forecasting modeling
- Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2)
- Experience using tools in BI, ETL, Reporting /Visualization/Dashboards
- Programming experience in languages like Python
- Exposure to Bigdata based analytical solutions
- Good Soft Skills
- Good Analysis and problem-solving skills.
- Ability to get Insights from Data, provide visualization, and storytelling.
- Flexibility to explore and work with newer technologies and tools.
- Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios.
- Excellent collaborative communication and Team skills
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