Job Description

#### About the job Senior Data scientist | Hybrid | Bangalore - Whitefield | 5+Yrs






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 Pythons 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.