Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Senior Applied AI Scientist

AT ZS
ZS

Senior Applied AI Scientist

Bangalore, India

Minimum Salary: -

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.

Want more jobs like this?

Get jobs in Bangalore, India delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


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.

What You'll Do:

  • Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights.
  • Strong proficiency in Python and Py Spark for scalable data processing and analytics.
  • Create, transform, and optimize features to enhance model performance.
  • Train, evaluate, and maintain machine learning models in production.
  • Write efficient, maintainable, and version-controlled code that handles large datasets.
  • Regularly update internal teams and clients on project progress, results, and insights.
  • Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing.
  • Scaling machine learning algorithms to work on massive data sets and strict SLAs.
  • Automate operations pipeline which runs on regular intervals to update required datasets.

What You'll Bring:

  • A master's or bachelor's degree in computer science or a related field from a top university.
  • 4+ years of hands-on experience in Machine Learning (ML) or Data Science with a focus on building scalable solutions.
  • Strong programming expertise in Python and PySpark is must.
  • Proven ability to write highly optimized SQL queries for efficient data extraction and transformation.
  • Experience in feature engineering, inferencing pipelines, and real-time model prediction deployment.
  • Strong fundamentals in applied statistics, with expertise in A/B test design and hypothesis testing.
  • Solid understanding of distributed computing systems and hands-on experience with at least one cloud platform (GCP, AWS, or Azure)

Additional Skills

  • Understanding of Git, DevOps, CI / CD, data security, experience in designing on cloud platform.
  • Experienced in automating operations using job scheduler like Airflow
  • Experience in data engineering in Big Data systems

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To Complete Your Application:

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

NO AGENCY CALLS, PLEASE.

Find Out More At:

www.zs.com

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: ZS-22564
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Work Visa Sponsorship
    • Leadership Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)