Lead Data Scientist

Tredence Inc.Bengaluru, Republic Of India, IN

30+ days ago

Job description

Roles and Responsibilities :

As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.

Engage with clients to understand current and future business goals and translate business problems into analytical frameworks
Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs
Create repeatable, interpretable and scalable models
Effectively communicate the analytics approach and insights to a larger business audience
Collaborate with team members, peers and leadership at Tredence and client companies

Qualification :

Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.

5+ years of experience in data science, building hands-on ML models

Experience with LMs (Llama (1 / 2 / 3), T5, Falcon, Langchain or framework similar like Langchain)

Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning

Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models

Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.

Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.

Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.

Advanced SQL skills with SQL Server and Spark experience.

Knowledge of predictive / prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks

Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.

Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment

Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred

Experience with cloud platforms such as Azure, AWS is preferred but not required

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Lead Data Scientist • Bengaluru, Republic Of India, IN

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