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Data Science - Associate Consultant

Data Science - Associate Consultant

Talent Worxgurugram, India
10 hours ago
Job description

Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 2 to 4 years

Requirements

Major Duties & Responsibilities

  • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions

  • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

    • and operationalization of projects

  • Influence machine learning strategy for Digital programs and projects
  • Make solution recommendations that appropriately balance speed to market and analytical soundness
  • Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
  • Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

    • TensorFlow)

  • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
  • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

    • scenarios, and stories.

  • Create algorithms to extract information from large, multiparametric data sets.
  • Deploy algorithms to production to identify actionable insights from large databases.
  • Compare results from various methodologies and recommend optimal techniques.
  • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

    • scenarios, and stories.

  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
  • Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

    • reusability, and reliability upon deployment

  • Lead discussions at peer review and use interpersonal skills to positively influence decision making
  • Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

    • impactful contributions to internal discussions on emerging practices

  • Facilitate cross-geography sharing of new ideas, learnings, and best-practices

    • Required Qualifications

  • Bachelor of Science or Bachelor of Engineering at a minimum.
  • 2-4 years of work experience as a Data Scientist
  • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

    • quickly cycle hypothesis through the discovery phase of a project

  • Advanced skills with statistical / programming software (e.g., R, Python) and data querying languages (e.g., SQL,

    • Hadoop / Hive, Scala)

  • Good hands-on skills in both feature engineering and hyperparameter optimization
  • Experience producing high-quality code, tests, documentation
  • Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

    • Synapse, Databricks

  • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

    • learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

  • Proficiency in statistical concepts and ML algorithms
  • Good knowledge of Agile principles and process
  • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
  • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

    • results

  • Self-motivated and a proactive problem solver who can work independently and in teams

    • Benefits

    Work with one of the Big 4's in India

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