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Data Scientist I

Levi Strauss & Co. Careers

·

Jun 18, 2026

Location
Bengaluru, India
Type
Full-time
Department
Education
Experience
7+ years
Closing date
Jun 30, 2026
Source
Workday

Description

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

Summary of the role:

At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made.

We are taking one of the world’s most iconic brands into the next century:

from creating machine learning-powered denim finishes to using block-chain for our factory workers’ wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.

Be a pioneer in the fashion industry by joining our global Data, Analytics & AI “startup with “assets,” where you will have the chance to build exciting solutions that will impact our Americas business and at the same time be part of a bigger, across-continents, data science community.

As a Data Scientist you will be a key part of the Data, Analytics and AI team and will create advanced analytics, machine learning, and AI solutions to better address our consumers’ needs while streamlining our processes and approaching the business in more innovative ways.

In this role, you will translate the needs of our cross-functional stakeholders into predictive models and actionable insights that will drive revenue and/or reduce cost, with emphasis on automation and business process improvement.

You will contribute to the global Data, Analytics & AI community, share your knowledge and leverage other colleagues’ experience.

About the Role:

  • Develop analytical solutions / production-ready models that solve pricing and promotions problems, taking account of business needs and technology/operations landscape

  • Apply advanced analytics, machine learning, and AI techniques to derive business value from the full range of internal and external data sets, leveraging Cloud-based technology

  • Actively collaborate on the development of pricing elasticity modeling, pricing recommendations, promotional campaigns optimization and discounts recommendations

  • Translate complex data and methodology into strategic, operationally feasible insights and recommendations

  • Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in

  • Identify trends and opportunities to drive innovation, both in what we do and how we do it

  • Document all code and approach; actively contribute to and re-use community best practices

  • Be a great team player who embodies the values and passions that characterize Levi Strauss; have empathy to engage with colleagues from a wide variety of backgrounds

About You:

  • Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline required

  • 7 to 10 years of experience in developing models and algorithms in a commercial environment with a track record of creating meaningful business impact

  • Strong SQL and Python skills required; proficiency in at least one open-source programming language desirable

  • Proficiency with data visualization tools (Looker, Streamlit, Tableau or similar)

  • Experience with native ML orchestration systems such as Kubeflow, Vertex AI Pipelines, Airflow

  • Proficiency with Spark

  • Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, continuous deployment, code reviews, design documentation

  • Experience implementing and optimizing Large Language Models (LLMs) for business applications

  • Experience working in agile methodology

  • Prior experience in retail or FMCG- pricing elasticity modeling, pricing recommendations, promotional campaigns optimization and discounts recommendations

  • Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) required

  • Experience with cloud computing platforms (GCP, AWS or other)

  • Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas

Benefits:
We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.

Here's a small snapshot:

  • Complimentary preventive health check-up for you & your spouse

  • OPD coverage

  • Best in class leave plan including paternity & family care leaves

  • Counselling sessions to prioritize mental well-being

  • Exclusive discount vouchers on Levi’s products

We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request.

To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. 

LOCATION

Bengaluru, India

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Skills

PythonAWSGCPSQLMachine LearningSparkAirflowData ScienceTableauLookerWorkday

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Data Scientist I at Levi Strauss & Co. Careers | Hiring.Camp