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Title: Senior Data Scientist

**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 we are among the top performing and fastest growing companies in the world.

As a member of the Cognizant Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on Cognizant Suite.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

Responsibilities:

+ Driving adoption of Deep Learning systems into next-generation of Cognizant products.

+ Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.

+ Collaborating with data and subject matter experts from Cognizant and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.

Qualifications:

+ MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.

+ Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).

+ Experience with prototyping languages such as Python and R.

+ Strong mathematical background (linear algebra, calculus, probability and statistics).

+ Experience with scalable ML (MapReduce, streaming).

+ Ability to drive a project and work both independently and in a team.

+ Smart, motivated, can-do attitude, and seeks to make a difference.

+ Excellent verbal and written communication.

Preferred Qualifications:

+ Experience with JavaScript and Java.

+ Experience with time series and dynamical systems.

+ A portfolio of projects (GitHub, papers, etc.).

Data Scientist JD Discussion:

+ Hypothesis, identifying what type of models to build

+ Build multiple models

+ Test the models

+ Refine and fine tune the models

+ This is not data analytics. They need to be pure data scientists

**Salary and Other Compensation** :

The annual salary for this position is between 125,000 – $ 135,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

**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

+ Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.