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 [email protected]
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
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
While our system allows application in all languages, job required language(s) and proficiency level(s) vary. However, basic English proficiency is required for Company-wide communications purposes.
About us
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.