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