Data Scientist

Cerebra; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Cerebra in Hyderabad seeks an experienced Data Scientist to advance data-driven decisions. You will analyze complex datasets, build ML models, and deliver business insights using Python, Pandas, and Scikit-learn.

The role requires 6–8 years of hands-on experience in data science, EDA, feature engineering, model evaluation, and collaboration with engineering and analytics teams to deploy solutions. Strong communication to translate results for stakeholders is essential.

Qualifications

• 6–8 years of experience in Data Science
• Strong Python programming skills
• Hands-on experience with Python for Data Science
• Proficiency with Pandas, NumPy, Scikit-learn
• Machine Learning and Statistical Analysis
• Exploratory Data Analysis (EDA) and Feature Engineering
• Predictive Modeling and Model Evaluation
• SQL and Data Visualization

Responsibilities

• Develop and implement data science and machine learning models using Python
• Perform data collection, cleaning, preprocessing, and EDA
• Apply statistical techniques to identify trends and insights
• Build, train, validate, and optimize ML models
• Write efficient SQL queries for data extraction and analysis
• Collaborate with engineering, business, and analytics teams
• Document models, methodologies, and results

Skills

Data science

Python programming

ML

EDA

Feature engineering

Model evaluation

Communication

Tools

Pandas

NumPy

Scikit-learn

SQL

Jupyter

TensorFlow

Cloud platforms

Job description

Role & responsibilities

Job Title: Data Scientist

Experience: 68 Years
Primary Skill: Python for Data Science
Role: Data Scientist

Role Description

We are looking for an experienced Data Scientist with 6–8 years of experience in data science, machine learning, and Python-based data analysis. The candidate will be responsible for analyzing complex datasets, developing machine learning models, generating business insights, and supporting data-driven decision-making.

Key Responsibilities

• Develop and implement data science and machine learning models using Python.
• Perform data collection, cleaning, preprocessing, and exploratory data analysis (EDA).
• Apply statistical techniques to identify trends, patterns, and business insights.
• Perform feature engineering and model selection.
• Build, train, validate, and optimize machine learning models.
• Evaluate model performance using appropriate statistical and ML metrics.
• Work with structured and unstructured datasets.
• Create data visualizations and communicate analytical findings to stakeholders.
• Write efficient SQL queries for data extraction and analysis.
• Collaborate with engineering, business, and analytics teams to deliver data-driven solutions.
• Document models, methodologies, assumptions, and results.

Mandatory Skills

• 6–8 years of experience in Data Science
• Strong Python programming skills
• Hands-on experience with Python for Data Science
• Pandas, NumPy, Scikit-learn
• Machine Learning
• Statistical Analysis
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Predictive Modeling
• Model Evaluation and Optimization
• SQL
• Data Visualization

Desirable Skills

• Deep Learning
• TensorFlow / PyTorch
• Natural Language Processing (NLP)
• Generative AI / LLM
• Cloud platforms – AWS / Azure / GCP
• MLOps and ML model deployment
• Jupyter Notebook