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Why this grade This listing scored 51/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$123k – $169k
That is the middle half of what comparable roles paid on this board over the last 90 days — 15 listings that did publish a figure, median $154k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Senior Full Time
This is a remote position.
Job Description: Senior/lead Data Scientist
Location: Bangalore/WFH
Experience- 6-10 yrsEmployment Type: Full-time
About the Role
We are seeking a highly skilled Senior /lead Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems.
This role requires both technical depth and strategic thinking, with an ability to lead projects, collaborate with cross-functional teams, and deliver scalable, impactful AI solutions.
Key Responsibilities
- Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases.
- Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured data.
- Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic search.
- Explore and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML capabilities.
- Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.
- Drive model performance optimization (scalability, latency, explainability, accuracy).
- Lead and mentor junior data scientists, providing technical guidance and best practices.
- Stay up to date with emerging AI/ML and GenAI frameworks, tools, and research trends.
Required Skills & Experience
- Having 6+ years of experience in Data Science, AI/ML, and related fields.
- Strong proficiency in Python, R, or similar languages with expertise in data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face).
- Proven experience in designing and deploying ML/DL models in production.
- Deep knowledge of NLP techniques: embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity recognition.
- Hands-on exposure to Generative AI (e.g., OpenAI, Hugging Face, LangChain, vector databases, RAG, LLM fine-tuning).
- Strong knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI model deployment.
- Solid understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
- Master’s/PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field.
- Experience in GenAI enterprise use cases (chatbots, content generation, code generation, knowledge retrieval).
- Knowledge of big data tools (Spark, Databricks, Hadoop) is a plus.
- Experience mentoring or leading a small data science team.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 23 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.