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Listed on Himalayas. You apply through their page. We never charge applicants.
Estimated pay
Estimate$162K–$280K/yr
Estimate — the employer hasn't published pay.
Based on 257 similar mid-level Data Science & ML jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Education
- Master's
Skills mentioned
About the role
This is a remote position.
We are looking for Data Scientists to join a long-term delivery programme focused on building production-grade AI and Generative AI solutions for enterprise customers. This is a hands-on role centred on real delivery and customer-facing systems, covering classical machine learning, advanced analytics, and LLM-based workflows including RAG. The environment is execution-driven, engineering-focused, and oriented towards measurable business impact
Responsibilities
- Design, develop, and deliver data-driven and AI-based solutions for enterprise use cases
- Translate business problems into robust data science and machine learning approaches
- Prepare, clean, and analyse structured and unstructured data
- Perform feature engineering and select appropriate modelling techniques
- Build, train, evaluate, and optimise machine learning models using Python or R
- Develop proof-of-concepts and evolve them into production-ready solutions
- Implement and improve Generative AI solutions, including RAG and LLM-based pipelines
- Evaluate model outputs and continuously improve quality, relevance, and reliability
- Contribute to technical design discussions and solution architecture
- Collaborate closely with engineers, product teams, and customer stakeholders
Requirements
- Strong academic background in Data Science, Mathematics, Statistics, Computer Science, or similar
- Hands-on experience building end-to-end machine learning pipelines
- Very good practical knowledge of Python or R and common data science libraries
- Solid understanding of statistics and core machine learning concepts
- Practical experience with Generative AI, LLMs, and RAG approaches
- Ability to write clean, production-ready, and maintainable code
- Experience working in multidisciplinary delivery teams
- Strong communication skills in English
Nice to have - Experience with distributed data processing or Spark
- Exposure to deep learning frameworks such as TensorFlow or Keras
- Experience working in cloud-based environments
- Experience in fast-paced or delivery-focused project environments
Benefits
- Solid, competitive salary
- Work in multinational environment on international projects
- Comprehensive healthcare
- Long-term B2B contract with stable project pipeline
- Fully remote model
Originally posted on Himalayas