Senior Data Scientist

Zorba AI; India; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Zorba AI is seeking an experienced Data Scientist to build predictive and prescriptive models, perform exploratory data analysis, and deliver actionable insights from complex datasets.

You will develop, train and evaluate models, perform experiments, and collaborate with cross-functional teams to translate business needs into analytic solutions. Strong Python skills and ML foundations are essential.

Qualifications

• 3–5 years of relevant Data Science / Machine Learning experience.
• B.Tech from a Tier-1 institution or MS/ M.Tech in Computer Science, IT or a related discipline preferred.
• Experience with distributed data processing and cloud (AWS) is a plus.
• Strong analytical and problem-solving abilities.

Responsibilities

• Develop statistical and ML models to solve business problems.
• Perform hypothesis testing, factor analysis, statistical analysis and root cause analysis.
• Conduct EDA, data cleaning, transformation and feature engineering.
• Extract and process data from enterprise data warehouses and Big Data platforms.
• Build, train, test and optimize machine learning models.
• Evaluate model performance, improve model accuracy and monitor model effectiveness.
• Generate business insights through data interpretation and predictive analytics.
• Collaborate with business and technical teams to translate requirements into analytical solutions.

Skills

Python

R

Java

Machine Learning

Statistics

Hypothesis testing

Pandas

NumPy

SciPy

Scikit-learn

EDA

Feature engineering

Data preprocessing

Model training

Model evaluation

Spark

PySpark

AWS

Jupyter Notebook

Linux

Prescriptive analytics

Education

B.Tech

MS/M.Tech in CS/IT

Tools

SQL

Job description

We are seeking an experienced Data Scientist with strong foundations in statistical analysis, machine learning and Python programming. The candidate will be responsible for developing predictive and prescriptive models, performing exploratory data analysis, conducting statistical experiments and delivering actionable insights from complex datasets.

Key Responsibilities

• Develop statistical and machine learning models to solve business problems.
• Perform hypothesis testing, factor analysis, statistical analysis and root cause analysis.
• Conduct EDA, data cleaning, transformation and feature engineering.
• Extract and process data from enterprise data warehouses and Big Data platforms.
• Build, train, test and optimize machine learning models.
• Evaluate model performance, improve model accuracy and monitor model effectiveness.
• Generate business insights through data interpretation and predictive analytics.
• Collaborate with business and technical teams to translate requirements into analytical solutions.

Required Technical Skills

SkillRequirementProgrammingPython / R / Java (Python preferred)Machine LearningClassical ML algorithms, predictive modellingStatisticsStatistical analysis, hypothesis testing, probabilityPython LibrariesPandas, NumPy, SciPy, Scikit-learnData ScienceEDA, feature engineering, data preprocessingModel DevelopmentModel training, testing, evaluation and optimizationPreferred Skills

Preferred Skills

• PySpark / Spark
• AWS
• Jupyter Notebook
• Linux
• Distributed data processing
• Prescriptive analytics and optimization

Experience & Education

• 3–5 years of relevant Data Science / Machine Learning experience.
• B.Tech from a Tier-1 institution or M.S./M.Tech in Computer Science, IT or a related discipline preferred.

Competencies

• Strong analytical and problem-solving abilities.
• Excellent data interpretation skills.
• High ownership and accountability.
• Ability to work in a fast-paced environment.
• Strong collaboration and communication skills.

Skills: linux,hypothesis testing,aws,predictive modeling,java,machine learning,python