Advanced Data Science Associate - Intern (North America - University Studen at ZS
Princeton, NJ 08540, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Algorithms, Text Mining, Communication Skills, Statistics, Social Listening, English, Database Systems, Predictive Modeling, Critical Thinking, Recommender Systems, Computer Science

Industry

Information Technology/IT

Description

:
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.
Our most valuable asset is our people.
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
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How To Apply:

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Responsibilities
  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.
  • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings.
  • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
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