(USA) Senior, Data Scientist

About the Role

Key Responsibilities

• Design, implement, and evaluate machine learning systems for translation, localization, contextualization, and personalization.
• Contribute to applied research in NLP and multilingual AI, with opportunities to publish or patent your work.
• Build scalable data pipelines for real-time and batch multilingual experience use-cases.
• Partner with product and business stakeholders to understand business needs and formulate concrete, data-driven solutions.

Requirements

• MS or PhD in Computer Science, Machine Learning, or a related technical field.
• A strong foundation in machine learning and NLP, with a passion for building accurate, impactful, and efficient ML systems.
• Experience with sequence-to-sequence modeling using Transformers or LLMs, ideally for multilingual and/or speech applications.
• Proficiency with machine learning frameworks such as PyTorch or TensorFlow.
• Fluency in English and in either Hindi or Mandarin.
• Enthusiasm to contribute across the ML lifecycle, from research and prototyping to experimentation and deployment.

Nice to Have

• Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience with open source frameworks such as scikit-learn, TensorFlow, or Torch.
• Knowledge of creating inclusive digital experiences and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Qualifications

• Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year' experience in an analytics related field.
• Option 3: 5 years' experience in an analytics or related field.

Benefits & Perks

• Competitive pay and performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees.