Data Scientist – Python & Forecasting

at Ampera Technologies

Data Scientist – Python & Forecasting

Ampera Technologies

Company

Home

Data Scientist – Python & Forecasting

at Ampera Technologies

Posted by Kavitha U

4 - 10 yrs

Best in industry

Chennai, Bengaluru (Bangalore)

Skills

Data Science

Python

Forecasting

Machine Learning (ML)

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.

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:

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

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About Ampera Technologies

Founded :

2024

Type :

Services

Size :

20-100

Stage :

Profitable

About

At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions

Company social profiles

N/A

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