Description review
Sr /lead Data Scientist
Aptus Data Labs · United States · back to the listing
HR standards
58/100
needs work
Title ↔ description
92/100
strong
Reads as
Data Scientist
91% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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