Data Scientist, AI
Category: Global Technology Services
Position Type: Regular Full-Time
External ID: 18651
Location: Los Angeles, CA, United States
Date Posted: Jan 16, 2026
Hiring Range: 135,400.00 to 156,100.00 USD Annually
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Overview
THE ROLE:
Drive business value through artificial intelligence and machine learning by developing, deploying, and optimizing AI models that tackle complex business problems and unlock insights from data. This role exists to translate business challenges into AI solutions, bringing to bear advanced analytics, machine learning, and statistical techniques to build predictive models and intelligent systems. The AI Data Scientist bridges data science theory and practical application, ensuring AI initiatives deliver measurable business impact.
HOW YOU WOULD CONTRIBUTE:
Develop and implement machine learning and AI models to address business challenges, including prediction, classification, clustering, and optimization
Conduct exploratory data analysis to understand data patterns, identify features, and uncover insights
Build and complete experiments to validate hypotheses and measure model performance
Build, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn
Develop natural language processing (NLP) solutions for text analysis, sentiment analysis, and language understanding
Implement computer vision models for image and video analysis applications
Design and implement recommendation systems, forecasting models, and anomaly detection algorithms
Perform feature engineering and selection to improve model accuracy and performance
Evaluate model performance using appropriate metrics and techniques, addressing issues like overfitting and bias
Deploy machine learning models into production environments, working with MLOps teams and infrastructure
Monitor model performance in production and implement model retraining and updating strategies
Collaborate with data engineers to design data pipelines that support AI/ML workflows
Translate complex AI/ML concepts and results into clear insights for non-technical stakeholders
Know the latest AI/ML research, techniques, and tools, applying innovations to business problems
Document methodologies, models, and findings to ensure reproducibility and facilitate information exchange
Make decisions on model selection, algorithm choices, evaluation metrics, and deployment strategies
Qualifications
SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL:
5+ years of progressive experience in data science and machine learning; demonstrated track record of developing and deploying AI models with measurable business impact
Machine learning and artificial intelligence algorithms and techniques
Programming in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, pandas, NumPy)
Statistical analysis and experimental design
Data manipulation, cleaning, and preprocessing
Model development, evaluation, and optimization
Proven track record of developing and deploying AI/ML models that deliver business value
Deep understanding of supervised and unsupervised learning algorithms
Experience with model deployment and MLOps practices
Strong mathematical and statistical foundation
Ability to translate business problems into technical AI/ML solutions
Deep learning architectures (CNNs, RNNs, Transformers, GANs)
Natural language processing and large language models (LLMs)
Computer vision techniques and frameworks
Cloud AI/ML platforms (AWS SageMaker, Azure ML, Google Vertex AI)
Big data technologies (Spark, Hadoop)
Model interpretability and explainable AI (XAI)
A/B testing and experimentation frameworks
Domain expertise in specific industries (finance, healthcare, retail, etc.)
Education
Minimum: Master's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or related quantitative field
Preferred: PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field; publications in AI/ML conferences or journals valuable
Certifications: AI/ML certifications (Google Cloud ML Engineer, AWS ML Specialty, Microsoft Azure AI Engineer) valuable
Equivalent Experience: Exceptional portfolio of AI/ML projects with 7+ years of hands-on experience and demonstrated expertise may substitute for advanced degree in rare cases
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At Herbalife, we value doing what's right. We are proud to be an equal opportunity employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected characteristic. We value diversity, strive for inclusivity, and believe the differences among our teammates is a key contributor to Herbalife's ongoing success.
Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability and an Employee Assistance Program (EAP).
Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email your request to
talentacquisition@herbalife.com
.
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