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Sr. Data Scientist 93 views

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and they are among the top performing and fastest growing companies in the world.

  • Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Practice – AIA – Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, the clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, Cognizant works to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, they help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. The clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Duties

  • The individual, in this role, is expected to be comfortable working as a data expert and a quantitative researcher.
  • The ideal candidate will have a keen interest in the study of business problems relevant to Banking, Insurance & Finance domains, and a passion for identifying and answering questions that help us solve the complex business problems.
  • 10 to 15 Years of experience in advanced analytics, on hands experience in predictive modeling, data management, gap analysis and manipulation
  • 10 years of hands-on experience on R, Python, Azure ML and other statistical tools
  • Experience working with large data sets, experience working with distributed computing tools
  • Solid understanding of programming logic and various paradigms
  • Answer business questions by using appropriate statistical techniques on available data
  • Communicate findings to both business and technical audiences
  • Drive the identification of required data and the refinement of existing data
  • Analyze and interpret the results of analytical experiments
  • Develop best practices for instrumentation and experimentation and communicate those to solution delivery teams
  • Experience in predictive and prescriptive modeling such as Time Series forecasting, Fraud Detection, Optimization, Regression etc.
  • Ability to mine unstructured data, including Text Mining using statistical tools
  • Ability to integrate unstructured data analytics with structured data to build predictive models
  • Ability to understand and analyze data models how the data is stored in relational databases
  • Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making
  • Good understanding software application architecture and develop integration approaches for predictive models
  • Serves as an escalation point for escalated statistical model related issues.
  • People management responsibility
  • Strong knowledge on R, Python, Azure ML & other statistical tools
  • Experience working with large data sets, experience working with distributed computing tools
  • Proficient in MS Office, especially MS Excel and Power point
  • Establish and maintain effective working relationships with peer groups and key internal stakeholders and where applicable, manage key external stakeholders relevant to the achievement of business objectives
  • Articulate with good communication and presentation skills.
  • Ability to mentor Jr. Data scientists
  • Highly driven, energetic, flexible, resourceful & ability to multitask.
  • Adherence to timelines, without sacrificing quality of output.
  • Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave

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