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Data Science Manager / Senior Manager @ Tredence

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 Data Science Manager / Senior Manager

Job Description

Job description

Roles and Responsibilities:

As a, Data scientist / 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.
    • 7+ 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 require
    • Seniority Level
      AssociateRole & responsibilities

Preferred candidate profile

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): Pune

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Keyskills:   Machine Learning Python Generative Ai Natural Language Processing Deep Learning

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Tredence

Tredence Inc.