Senior Data Scientist ( 8 to 12yrs)- Onsite

Cognizant • Redwood City, CA • 14h ago

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

Responsibilities

Cognizant is seeking Solution Engineers.

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. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the Cognizant Suite so they can run at scale.

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.).

Cognizant provides excellent benefits and a competitive compensation package.

Cognizant is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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

Application Expire: 6/15/2025

Salary Range : 120K to 140k USD

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, 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

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.

LI-AV1#CB#Ind123

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.

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