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Data Scientist / Senior Data Scientist / Data Science Manager(3to16Y) @ Tredence

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 Data Scientist / Senior Data Scientist / Data Science Manager(3to16Y)

Job Description

Roles and Responsibilities:

As a, 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.
  • 3+ 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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Hyderabad

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Keyskills:   Data Science Machine Learning Python Agentic Ai Generative Ai Natural Language Processing

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Tredence

Tredence Inc.