Data Science Manager

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.