Data Scientist

4 days ago

Pune, Maharashtra, India Sage It Full time US$ 90,000 - US$ 1,20,000 per year

Job Description Data Scientist (Advanced Level)

Payroll: SAGE IT (On Roll)

Client: Long-term deployment at client location (Telecom domain)

Experience: 5-8 Years

Job Location: Pune (Work from Client Location)

Employment Type: Full Time, Permanent

  • About the Role:

We are looking for an experienced and highly proficient Data Scientist to join our team on the payroll of Sage IT and get deployed at our leading Telecom client location for a long-term project. The ideal candidate must have hands-on experience in building Machine Learning models, working on large data sets, and deriving meaningful business insights through data analytics. Prior experience working in Telecom data or similar high-volume datasets will be a strong plus.

Key Responsibilities:

  • Analyze large volumes of structured and unstructured data to uncover patterns, trends, and actionable insights.
  • Build and deploy predictive models and statistical algorithms for business use cases such as churn prediction, anomaly detection, predictive maintenance, time-series forecasting, etc.
  • Work on end-to-end ML pipeline involving data preprocessing, feature engineering, model training, validation, and deployment.
  • Develop dashboards, KPI reports, and visualizations using Power BI / SQL / Python.
  • Collaborate with business stakeholders, product owners, and engineering teams to define data science use cases and translate them into scalable analytical solutions.
  • Present findings and models to technical and non-technical audiences through visualizations, documents and reports.
  • Work on telecom or high-volume data domains, applying ML and data science techniques to improve operational efficiency and customer outcomes.
  • Optional: Work on Generative AI / LLM use cases such as chatbots, document question answering or summarization.

Technical Skills Required:

  • Programming: Python (Pandas, NumPy, Scikit-learn), SQL
  • Machine Learning: Regression, Classification, Clustering, Time Series Models, Random Forest, XGBoost, SVM
  • Deep Learning (Preferred): TensorFlow / PyTorch, CNN / RNN
  • NLP/Generative AI (Good to have): OpenAI GPT, LangChain, Transformers
  • Visualization Tools: Power BI, Matplotlib, Seaborn
  • Data Handling: Structured & Unstructured data, Feature Engineering
  • Cloud / Big Data: AWS, Azure, GCP, BigQuery, etc. (Preferred)
  • Tools: Jupyter, Git, Docker, Airflow (Good to have)

Soft Skills:

  • Strong analytical and problem-solving mindset.
  • Excellent communication and storytelling ability.
  • Ability to work independently as well as in a collaborative environment.
  • Stakeholder engagement and presentation skills

Educational Qualification:

  • Bachelors or Master's degree in Computer Science, Data Science, Statistics, Engineering, or related discipline
  • Certifications in Data Science / Machine Learning / Azure / AWS (added advantage)

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