Senior Data Scientist

2 days ago

Hyderabad, Telangana, India People Tech Group Inc Full time ₹ 1,04,000 - ₹ 1,30,878 per year

The ideal candidate thrives on
learning
, working with
data
, thinking at
scale
, and adapting with
agility
. You bring a strong collaborative mindset and excel at turning highly complex datasets into actionable insights. By asking the right questions and applying analytical rigor, you will uncover the right answers that drive impactful business decisions.

Job Title:
Data Scientist

Experience:
5+ Years

Location:
Hyderabad

Job Type:
Full-Time

Work Mode:
WFO (5 Days)

Job Summary:

We are seeking a highly skilled Data Scientist to join our procurement technology team. The candidate will play a key role in designing and developing machine learning and LLM-driven solutions to automate and optimize sourcing and procurement operations. This role offers the opportunity to work on challenging problems, leverage state-of-the-art research, and build scalable models that enhance customer experience and business efficiency.

Key Responsibilities:

  • Analyze and extract relevant insights from large-scale datasets to drive automation and optimization.
  • Research, develop, and implement machine learning, LLM, and statistical models to improve user experience in procurement.
  • Build scalable ML solutions that address real-world business problems.
  • Collaborate with cross-functional teams to integrate models into production systems.
  • Stay updated with the latest research in AI/ML and apply innovative approaches to business challenges.

Basic Qualifications:

  • 5+ years of hands-on experience in building ML models for business applications.
  • Strong proficiency in
    Python
    and relevant ML/AI libraries.
  • Expertise in algorithms, data structures, and numerical optimization.
  • Solid experience with
    data mining, parsing, and handling large-scale datasets
    .
  • Experience in
    parallel, distributed, or high-performance computing
    .

Preferred Qualifications:

  • Experience working with
    Large Language Models (LLMs) and NLP
    applications.
  • Prior exposure to
    procurement, sourcing, or supply chain domains
    .
  • Understanding of deploying models at scale in production environments.
  • Familiarity with
    cloud-based ML environments (AWS, GCP, or Azure)
    .
  • Strong problem-solving ability with a mix of research-driven and pragmatic approaches.

Good to Have:

  • Hands-on experience with
    deep learning frameworks
    (TensorFlow, PyTorch).
  • Exposure to
    MLOps tools
    (MLflow, Kubeflow, SageMaker).
  • Research publications or contributions to the ML/AI community.

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