Data Scientist

3 - 4 years

20 - 25 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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Role: Data Scientist

Experience:

3-4 Years

Location:

Hyderabad (Hybrid)
Tezo is seeking a highly motivated

Data Scientist / AI Engineer

with 3 4 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI.

Why Join Our AI/ML Practice

Purpose-driven:

Work on projects that create meaningful impact for clients.

Collaborative:

Learn and contribute in a team that values sharing ideas and teamwork.

Continuous Growth:

Get mentorship, hands-on training, and exposure to cutting-edge tools.

Accountable & Trusted:

Take ownership of your learning and contribute to team outcomes.

Key Responsibilities

  • Collaborate with stakeholders to understand business challenges and translate them into data science problems.
  • Design, develop, and optimize

    machine learning models

    (supervised, unsupervised, deep learning, NLP, etc.).
  • Preprocess, clean, and analyze large structured and unstructured datasets.
  • Deploy ML models into production environments using

    MLOps practices

    .
  • Build

    data pipelines

    and work with engineers to ensure scalability and reliability of AI solutions.
  • Conduct experiments, perform model validation, and optimize performance.
  • Develop dashboards and visualizations to communicate insights to business teams.
  • Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance.

Required Skills

  • Bachelor s or master s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field.
  • 3 4 years of hands-on experience

    in data science and AI projects.
  • Strong programming skills in

    Python

    (preferred) or R, with expertise in

    Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch

    .
  • Solid understanding of

    machine learning algorithms, deep learning, NLP, and statistical modeling

    .
  • Experience with

    SQL

    and data manipulation.
  • Exposure to

    MLOps tools

    (MLflow, Kubeflow, Docker, CI/CD pipelines).
  • Experience working with

    cloud platforms

    (AWS, Azure, GCP).
  • Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
  • Experience with

    large language models (LLMs)

    and generative AI.



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