NITS Solutions

4 weeks ago

Gurugram, India NITS Solutions Full time

Data Science Manager responsibilities include conducting full lifecycle analysis to include requirements, activities and design. You will have the onus of working with large, complex data sets, solve difficult & non-routine analysis problems, applying advanced analytical methods as needed; conduct end-to-end analysis that includes research, hypothesis testing, and thought leadership. They will also monitor performance and quality control plans to identify : - Act as a subject matter expert in the designing and recommending of appropriate analytical approaches and methodology in addressing key issues within the business. - Define project goals and objectives and develop detailed work plans to meet client expectations. - Oversee all aspects of the project lifecycle, from initiation through closeout. - Explore business problems and model different solutions. - Design client-specific strategic service offerings and approaches that will demonstrate value through the development. - Interpret data, analyze results using statistical techniques and provide ongoing reports. - Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. - Design data modeling processes to create algorithms and predictive models and perform custom analysis. - Identify, analyze, and interpret trends or patterns in complex data sets. - Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions. - Manage multiple resources and projects concurrently to ensure successful completion of analytic projects. - Work with the team to establish future-facing insights, implications, and recommendations; deliver advice; and identify and solve problems. - Develop strategic plans to help the company reach its growth goals. - Lead a team of data scientists, analysts, engineers, and other data professionals to deliver high-quality data products and insights. - Establish and execute the data science strategy and vision for the organization, aligning with the business goals and & Skillset : - A masters or doctoral degree in data science, statistics, computer science, mathematics, engineering, or a related computation field from an accredited university or college. - Several years of experience in data science, analytics, or a similar role, preferably in a leadership capacity. - 10+ years in the field of applying methods in statistical learning in developing data driven solutions. - 10+ proven years of experience in leading and managing large, complex consulting engagements & Proven ability to develop and execute business strategy. - Minimum 5+ years experience of leading and managing a team. - Proficiency in various data science tools and languages, such as Python, R, SAS, SQL, Spark, TensorFlow, etc. along with working experience in Unix/Linux environment. - Good working experience in GenAI. - Experience in applying advanced AI techniques (e.g., machine learning, predictive analytics, optimization, semantic analysis, time-series analysis, advanced visualization) to real-world problems. (ref:hirist.tech)

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