Data Scientist

Data Scientist (4–5 Years Experience)

Location:

Type:

Compensation:

Qualification:

About the Role

Data Scientist

Key Responsibilities

• Analyze large, complex datasets to uncover insights and trends that inform business decisions.
• Develop and optimize

  predictive and prescriptive models

  using advanced machine learning algorithms.
• Collaborate with cross-functional teams — including engineering, product, and business stakeholders — to design and implement

  data-driven solutions

  .
• Build and maintain

  data pipelines

  and perform data wrangling using Python, R, or SQL.
• Create impactful

  data visualizations and dashboards

  using tools like Power BI, Tableau, or Matplotlib/Seaborn.
• Deploy and monitor ML models in production environments on

  cloud platforms

  (AWS, Azure, or GCP).
• Ensure

  data quality, governance, and compliance

  with organizational standards.

Required Skills & Qualifications

• 4–5 years of hands-on experience in

  Data Science or Machine Learning

  .
• Strong proficiency in

  Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch)

  or

  R

  .
• Expertise in

  statistical modeling, data mining, and algorithm development

  .
• Strong knowledge of

  SQL

  and data pipeline tools (Airflow, Spark, etc.).
• Experience working with

  AWS SageMaker, Azure ML, or Google AI Platform

  .
• Excellent

  analytical thinking, communication, and problem-solving

  abilities.

Good to Have

• Experience in

  Deep Learning, NLP, or Time Series Analysis

  .
• Exposure to

  MLOps

  and

  CI/CD pipelines

  for ML model deployment.
• Certifications or a strong project portfolio in Data Science or Machine Learning.

Why Join Us?

• Work on

  high-impact, real-world data science challenges

  .
• Be part of a

  collaborative, innovation-driven

  environment.
• Opportunity to grow your career with

  continuous learning and development

  .
• Flexible work location options —

  Pune, Hyderabad, or Bangalore

  .

If you’re passionate about transforming data into strategic insights and want to be part of a dynamic, growth-oriented team — we’d love to hear from you!

Apply Now