Herbalife · 2 hours ago
Data Scientist, AI
United States
Full-time
Remote
Senior Level
5+ years expHerbalife is a company focused on driving business value through artificial intelligence and machine learning. The AI Data Scientist will develop, deploy, and optimize AI models to tackle complex business problems and translate challenges into AI solutions, ensuring measurable business impact.
Dietary SupplementsFitnessHealth CareNutrition
Responsibilities
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
Qualification
Required
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.)
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
AI/ML certifications (Google Cloud ML Engineer, AWS ML Specialty, Microsoft Azure AI Engineer) valuable
Exceptional portfolio of AI/ML projects with 7+ years of hands-on experience and demonstrated expertise may substitute for advanced degree in rare cases
Benefits
Group Health Programs
Other Voluntary Benefit Programs
Paid Time Off
Medical
Dental
Vision
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Basic Life/AD&D
Short-Term and Long-Term Disability
Employee Assistance Program (EAP)
401(k) plan
Wellness Incentive Program
Employee Stock Purchase Plan (ESPP)
Supplemental Life/Critical Illness/Hospitalization/Accident Insurance
Pet Insurance
Company-observed U.S. Holidays
Floating Holidays
Vacation
Sick Time
Volunteer Program
Paid Maternity and Paternity Leave
Bereavement Leave
Personal Leave
Time off for voting
Company
Herbalife
Herbalife is a nutrition company that offers dietary supplements and products for individuals and distributors.
5001-10000 employees
H1B Sponsorship
Herbalife has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (12)
2023 (28)
2022 (27)
2021 (7)
2020 (96)
Funding
Current Stage
Public CompanyTotal Funding
$3.1B2024-04-05Post Ipo Debt· $800M
2022-12-05Post Ipo Debt· $250M
2020-05-29Post Ipo Debt· $600M
Leadership Team
John DeSimone
Chief Financial Officer
Phil Carlson
Director of Global Corporate Security
Recent News
EIN Presswire
2025-12-24
Company data provided by crunchbase