Data Scientist

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Role: Data Scientist

Experience: 1-4 Years

Location: Hyderabad (Hybrid)

Tezo is seeking a highly motivated Data Scientist / AI Engineer with 1–4 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.
• 1–4 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.