NITS Solutions

Job Responsibilities : - 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 objectives. - Develop and implement best practices for data collection, analysis, modeling, machine learning, and visualization. - Communicate and present data insights and recommendations to stakeholders, executives, and external partners. - Mentor and coach data team members, fostering a culture of innovation and collaboration. - Stay updated on the latest trends, technologies, and methodologies in data science and analytics and provide knowledge transfer to the team. - Collaborate with stakeholders to develop clear and compelling reports of analytic results and insights.- Stay abreast of new analytic methods and technologies and support their development internally. - Evangelize the product vision and align with the company objectives.Skills :- 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- High-level experience in database engineering systems, methodologies, and processes for managing large scale databases like Oracle, Postgres, MSSQL, etc.- Experience in cloud especially AWS technology. - Excellent quantitative skills and the ability to tell a story using data. - Strong problem-solving skills with an emphasis on product development - High-level mathematical ability and logical approach - Strong written & verbal communication and presentation skills - Ability to initiate and drive projects from conception to completion with minimal guidance. - Needs to be result-orientated but collaborative in management style. (ref:hirist.tech)