Data Science Engineer

Aaum Research And Analytics; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Aaum Research And Analytics in Chennai invites a data scientist with 2-4 years of experience to join a fast-growing analytics team. The role focuses on collecting, cleaning, and analyzing large datasets to drive business insights.

You will develop and deploy ML models using Python, work with SQL and both structured and unstructured data, perform EDA and feature engineering, and create visualizations and dashboards to communicate results.

Qualifications

• 2-4 years of experience in Data Science, ML, or related field.
• Strong Python and libraries (Pandas, NumPy, Scikit-learn).
• Knowledge of ML algorithms and statistics.
• Experience with SQL and database management.
• Hands-on data cleaning, preprocessing, and exploratory data analysis.
• Familiarity with visualization tools (Power BI/Tableau/Matplotlib).
• Experience in model deployment and API development.
• Strong problem-solving and analytical skills.

Responsibilities

• Collect, clean, process, and analyze large datasets to identify trends and insights.
• Develop and implement machine learning models and data science solutions.
• Build, train, test, and optimize predictive models using Python.
• Work with structured and unstructured data using SQL and other data processing tools.
• Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
• Create data visualizations and dashboards to communicate insights.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Deploy and maintain machine learning models in production environments.

Skills

Python

Pandas

NumPy

Scikit-learn

SQL

EDA

Data cleaning

Data visualization

Model deployment

Problem-solving

Tools

Power BI

Tableau

Matplotlib

Job description

Role & responsibilities

Collect, clean, process, and analyze large datasets to identify trends and insights.

Develop and implement machine learning models and data science solutions.

Build, train, test, and optimize predictive models using Python.

Work with structured and unstructured data using SQL and other data processing tools.

Perform exploratory data analysis (EDA), feature engineering, and model evaluation.

Create data visualizations and dashboards to communicate insights.

Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

Deploy and maintain machine learning models in production environments.

Required Skills

2-4 years of experience in Data Science, Machine Learning, or a related field.

Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.

Good knowledge of machine learning algorithms and statistical techniques.

Experience with SQL and database management.

Hands-on experience in data cleaning, preprocessing, and exploratory data analysis.

Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.

Familiarity with model deployment and API development.

Strong problem-solving and analytical skills.