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Salary
≈ $13k – $30k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Junior · 2+ years exp

First seen by Alion on Sep 16, 2026.

Overview
Company
Impact
Profile match
Bluglint Solutions is a prestigious Placement Firm in Faridabad - Bluglint Solutions is engaged in offering Manpower Recruitment, Career Consultant in Faridabad Haryana India.

Job Summary :

We need a skilled Data Scientist to build and improve our time-series forecasting models. You will analyse past data, spot trends, and create precise predictions for business growth, inventory, and demand. Your work will help our leaders make smart and fast choices.

Key Responsibilities :

- Build and scale robust time-series forecasting models for demand, sales, and supply chain metrics.

- Clean, process, and analyse large volumes of historical data from multiple sources.

- Test new machine learning and statistical algorithms to boost model accuracy.

- Deploy models into production and track their performance over time.

- Work with product and business teams to turn data insights into clear plans.

Required Skills & Qualifications :

- Experience: 2 - 5 years of hands-on data science experience with a focus on forecasting.

- Education: Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

- Programming: Strong coding skills in Python or R, SQL for data extraction.

- Modelling Tools : Deep knowledge of ARIMA, Exponential Smoothing, Prophet, and tree-based machine learning models (XGBoost, LightGBM). Deep learning experience (LSTM/RNN) is a plus.

- Libraries: Proficiency in pandas, scikit-learn, statsmodels, and MLflow or similar tracking tools.

- Soft Skills: Good problem-solving skills and the ability to explain complex data to non-technical teams.

Additional Information :

- This is 6 days work from office role in Hyderabad.

- No virtual interviews will be conducted.

Required Qualification :

- Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)

Skills

Data Scientist, Python, SQL, Machine Learning, Pandas, Scikit-Learn, Data Science, Statistical Modeling, Deep Learning, Time Series Analysis, Time Series Forecasting

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