Data Science Associate

ZS Advanced

ZS

About

ZS Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patient-level records).

Advanced analytical techniques span a range of innovative machine
learning, artificial intelligence, advanced statistics and optimization approaches.Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edgesolutions, utilizing new age data sources to shape innovations across multiple areas, forour clients and the broader ZS community.

A key enabler of our services is leveraging data in delivering client solutions. The data
available about customers is getting richer and the problems that our customers aretrying to answer continue to evolve. In our endeavor to stay ahead in providing solutionsto these evolving complex problems, ZS has set up an Advanced Data Science whichhas three major focus areas:

Data

Data Science Associate (DSA) design, develop and execute high-impact analytics
solutions for large, complex, structured and unstructured data sets (including big data)to help clients make better fact-based decisions.

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 andcommunicate analysis findings• Contribute to the evaluation of emerging datasets and technologies that maycontribute to our analytical platform• Evaluating emerging datasets and technologies that may contribute to ouranalytical platform• Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies.• Integrate engineering principles into data science workflows, optimizingalgorithms for performance, scalability, and maintainability.• Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems.• Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows.

Qualifications:

Perks

ZS offers a comprehensive total rewards package including health and well-being,
financial planning, annual leave, personal growth and professional development. Ourrobust skills development programs, multiple career progression options and internalmobility paths and collaborative culture empowers you to thrive as an individual andglobal team member.We are committed to giving our employees a flexible and connected way of working. Aflexible and connected ZS allows us to combine work from home and on-site presenceat clients/ZS offices for the majority of our week. The magic of ZS culture and innovationthrives in both planned and spontaneous face-to-face connections.

Considering

At ZS, we're building a diverse and inclusive company where people bring their
passions to inspire life-changing impact in global healthcare and beyond. We are mostinterested in finding the best candidate for the job and recognize the value thatcandidates with all backgrounds, including non-traditional ones, bring. If you areinterested in joining us, we encourage you to apply even if you don't meet 100% of therequirements listed above.ZS is an equal opportunity employer and is committed to providing equal employmentand advancement opportunities without regard to any class protected by applicable law.

To

Candidates must possess work authorization for their intended country of employment.
An on-line application, including a full set of transcripts (official or unofficial), is requiredto be considered.

NO AGENCY CALLS, PLEASE.

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