Data Scientist Manager

10 - 14 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Staff Data Scientist in the Finance team at a global energy business, your role involves leading and contributing to sophisticated data analysis, modeling, and machine learning projects. Your primary responsibility is to extract actionable insights, drive strategic decision-making, and enhance business processes through data-driven solutions. - Conduct advanced data analysis and modeling techniques including feature selection, dimensionality reduction, and model evaluation. - Utilize domain knowledge to ask relevant questions and develop significant solutions. - Understand business operations, market dynamics, and financial implications to prioritize data science projects aligned with organizational goals. - Implement out-of-core computing techniques for processing large datasets. - Develop and implement machine learning strategies and models. - Communicate effectively with non-technical stakeholders and visualize findings for reporting purposes. - Stay updated on technical data science advancements and industry trends. - Ensure data ethics and privacy compliance through anonymization and pseudonymization. - Manage data science projects effectively, including planning and delivering results within set timelines. - Apply statistical analysis and mathematical concepts for data interpretation. Qualifications Required: - 10+ years of experience in data analysis with a master's degree or equivalent in Computer Science, Statistics, Mathematics, Physics, Engineering, or related field. - Proficiency in programming languages such as Python, SQL, and Azure data bricks. - Leadership qualities with the ability to steer a team and provide strategic direction. - Strong soft skills including active listening, problem translation, communication, and partnership. - Experience with data sources like SAP, Concur, Salesforce, Workday, and Excel files. - Certification in SQL, Machine Learning, or Azure data bricks is desirable. - Familiarity with tools and libraries such as Pandas, PySpark, NumPy, SciPy, NLP, and Fuzzy matching logic. - Experience with SAP systems and data structures. In this role, you may expect up to 10% travel, and relocation assistance is available within the country. The position offers a hybrid of office and remote working arrangements. Your employment may be contingent upon adherence to local policies, including pre-placement screenings and background checks.,

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