Data Scientist - Python/SQL

Job description : Enthusiastic and self-motivated, with ability to lead 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 Ability to multi-task and manage competing : - Bachelors/Masters/PhD in Statistics / Econometrics/ Operation Research / Actuarial Science or any other quantitative Candidates should have 7 plus years of hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions - Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests - Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research - Experience in Python , SQL , GCP or any other cloud platforms highly desired - Lead And Co-Lead 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 or web applications - 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 : 1. Domain - Supply Chain , Logistics 2. Various classical Statistical techniques such as Regression, Multivariate Analysis etc. 3. Data Mining & Text Mining, NLP, Gen AI 4. Operations Research 5. Time Series based forecasting modeling 6. Demand Modeling 7. Market Research - Experience with SQL and data warehousing (e. g. - Experience using tools in BI, ETL, Reporting /Visualization/Dashboards - Programming experience in languages like Python with the understanding of object-oriented programming strongly desired - Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management. Soft Skill : - Good Analysis and problem-solving skills. - Ability to get Insights from Data, provide visualization, and story-telling. - 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 (ref:hirist.tech)

Location: in, IN

Posted Date: 11/15/2024