Data Scientist

• 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
  

Responsibilities

• 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
• Continual enhancement of statistical techniques and their applications in solving business objectives
• 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
  

• Domain – Supply Chain Analytics
• Hands on with Machine Learning
• Good understanding of various classical Statistical techniques such as Regression, Multivariate Analysis
• Data & Text Mining, NLP, Gen AI, Large Language Models, 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 - Qliksense/Power BI etc.
• Programming experience in languages like Python
• Exposure to Bigdata based analytical solutions
• Good Soft Skills - able to communicate clearly with stakeholders
• 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
  

Qualifications

• Candidates should have significant hands-on experience with analytics projects or related quantitative techniques across various functions
• Candidates will be expected to successfully prioritize and manage multiple analytical projects
• Good technical depth with strong analytical/programing skills and ability to apply technical knowledge
• Experience in Python, SQL, GCP or any other Cloud Platforms highly desired