Hi,
Greetings from Ampera!
we are looking for a Data Scientist with strong Python & Forecasting experience.
Title : Data Scientist – Python & Forecasting
Experience : 4 to 7 Yrs
Location : Chennai/Bengaluru
Type of hire : PWD and Non PWD
Employment Type : Full Time
Notice Period : Immediate Joiner
Working hours : 09:00 a.m. to 06:00 p.m.
Workdays : Mon - Fri
Job Description:
We are looking for an experienced Data Scientist with strong expertise in Python programming and forecasting techniques. The ideal candidate should have hands-on experience building predictive and time-series forecasting models, working with large datasets, and deploying scalable solutions in production environments.
Key Responsibilities
- Develop and implement forecasting models (time-series and machine learning based).
- Perform exploratory data analysis (EDA), feature engineering, and model validation.
- Build, test, and optimize predictive models for business use cases such as demand forecasting, revenue prediction, trend analysis, etc.
- Design, train, validate, and optimize machine learning models for real-world business use cases.
- Apply appropriate ML algorithms based on business problems and data characteristics
- Write clean, modular, and production-ready Python code.
- Work extensively with Python Packages & libraries for data processing and modelling.
- Collaborate with Data Engineers and stakeholders to deploy models into production.
- Monitor model performance and improve accuracy through continuous tuning.
- Document methodologies, assumptions, and results clearly for business teams.
Technical Skills Required:
Programming
- Strong proficiency in Python
- Experience with Pandas, NumPy, Scikit-learn
Forecasting & Modelling
- Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
- Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest, etc.)
- Understanding of seasonality, trend decomposition, and statistical modeling
Data & Deployment
- Experience handling structured and large datasets
- SQL proficiency
- Exposure to model deployment (API-based deployment preferred)
- Knowledge of MLOps concepts is an added advantage
Tools (Preferred)
- TensorFlow / PyTorch (optional)
- Airflow / MLflow
- Cloud platforms (AWS / Azure / GCP)
Educational Qualification
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
Key Competencies
- Strong analytical and problem-solving skills
- Ability to communicate insights to technical and non-technical stakeholders
- Experience working in agile or fast-paced environments
Accessibility & Inclusion Statement
We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.
Equal Opportunity Employer (EOE) Statement
Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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