Lead Data Scientist based in Hyderabad

We are seeking an exceptionally talented leader to lead one of our Data Science teams and develop a long-term roadmap for analytic capabilities. This is an opportunity to join an exciting digital operations team and drive efficiency through data science. The operations team is driven through data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.

As a Data Science Manager in the team, the candidate will be driving the analytics roadmap and will provide descriptive and predictive solutions to the operations team through a combination of data mining techniques and also use statistical and machine learning techniques for segmentation and prediction. The candidate will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successful solutions. The candidate will develop and drive a team of data scientists and data analysts and play an integral role in developing multiple data oriented solutions and models.

Please send your updated resume to darshana.gangadharan@cognizant.com

Key Responsibilities

• Define, build, and lead a team of Data Scientists and Data analysts

• Discover areas in operations that can be automated through machine learning

• Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques

• Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions

• Work closely with internal stakeholders and align them with respect to your focus area

• Innovate by adapting new modeling techniques and procedures

• Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.

Qualifications and Experience

• 14+ years of work experience in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative

• Bachelor or Master degree with 5+ years of experience managing teams

• Experience in Machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.)

• Experience in projects around operations domain( field operations, Desk operations , call center operations etc)

• Knowledge of various machine learning techniques and key parameters that affect their performance

• Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills

• Experience processing and presenting large quantities of data along with the Combination of deep technical skills .

• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to customers, engineering teams and other business audiences

• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

Preferable Qualifications:

• A post graduate or MS degree in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field

• Good Statistical / Dashboarding tool knowledge

Personal Skills:

• Good time management and organizational skills

• Flexible to adapt to any changes in the organization / process

• Self-starter, Ambitious, go-getter and deadline driven

• Keen to learn and implement learning

• Maintain Organizational and Client confidentiality