Hiring.Camp

Advanced Data Science Associate

ZS

·

Dec 28, 2025

Location
Bellevue, WA, US · Chicago, IL, US · Princeton, NJ, US · South San Francisco, CA, US · New York, NY, US · Philadelphia, PA, US
Workplace
Remote, Hybrid, Onsite
Type
Full-time
Department
Management
Seniority
Entry
Experience
3+ years
Closing date
Today
Source
iCIMS

Description

Role Description

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.    

 

What You’ll Do

  • Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality. 
  • Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. 
  • Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. 
  • Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. 

 

What You’ll Bring 

  • 1-3 years of relevant professional work experience in Data Science. 
  • A robust academic performance history with coursework emphasizing analysis and quantitative skills. 
  • A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). 
  • A proficiency in at least one programming language (e.g., Java/Python/R). 
  • Experience with tools/platforms such as the Hadoop eco system, Microsoft Azure, or database systems. 

 

How you’ll grow: 

  • Cross-functional skills development & custom learning pathways 
  • Milestone training programs aligned to career progression opportunities 
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions 

 

Hybrid working model: 

ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. 

 

Skills

PythonJavaAzureMachine LearningHadoopData ScienceR

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