Walmart’s Applied AI Market Intelligence (MINT) team is seeking a Senior Data Scientist to design and scale cutting-edge ML solutions using advanced techniques in NLP, Computer Vision, and Deep Learning. If you have 3+ years of relevant experience, expertise with Transformer-based models (BERT, ViT, LLMs), and a passion for driving automated, data-led decisions in retail, apply to make an epic impact at a global scale!
✨ Job Title: Senior, Data Scientist
🏢 Company Name: Walmart Global Tech India
📍 Location: Bengaluru / Bangalore, India (Bangalore office for daily work)
💼 Job Type: Full-Time, Permanent
💰 Salary / Package: Compensation, incentive awards, PTO, health benefits, maternity/parental leave. (Specific salary not mentioned)
📝 Key Responsibilities:
- Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems.
- Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models.
- Drive innovation through rapid experimentation and PoC development using the latest research and technologies.
- Measure and optimize model performance by defining metrics, tracking business impact, and applying statistical methodologies.
- Contribute to the AI community by publishing research and presenting at top-tier conferences (e.g., NIPS, ICML).
🎓 Qualifications & Required Skills:
- Bachelor’s degree (4+ years experience) or Master’s degree (3+ years experience) in a STEM field (Computer Science, Statistics, etc.).
- Strong foundation in ML concepts with hands-on experience in NLP, computer vision, and transformer-based models (BERT, ViT, LLMs).
- Experience with fine-tuning and applying LLMs to business problems.
- Proficiency with at least one mainstream machine learning framework (e.g., TensorFlow, PyTorch).
- Strong analytical skills for identifying trends, patterns, and outliers in large volumes of data (Big Data).
- Working experience with SQL and relational databases.
📈 Experience Level: Senior (3–5 Years of relevant data science/analytics experience)