Data Scientist

RupsTech Private Limited; India; On-site; INR 900,000 - 1,300,000; Full time

Job summary

RupsTech Private Limited in India is seeking a data science professional to transform data into actionable insights. You will work with Python and R, build predictive models, and develop data pipelines to support business decisions.

The role requires strong skills in data cleaning, preprocessing, feature engineering, and familiarity with big data tools like Hadoop/Spark. Collaboration with cross‑functional teams and a data-driven mindset are essential.

Qualifications

• Bachelor’s or Master’s in Data Science, Statistics, or related field.
• Proficiency with Python, R and data analysis techniques.
• Experience with machine learning and statistical modeling.
• Experience building predictive models and data pipelines.
• Strong data cleaning, preprocessing and feature engineering skills.
• Knowledge of data structures and algorithms.
• Ability to create dashboards and reports to support business decisions.
• Experience working with cross-functional teams and data quality improvement.

Responsibilities

• Analyze large datasets to extract actionable insights.
• Develop predictive and statistical models for business problems.
• Build and optimize data pipelines and ETL processes.
• Create dashboards and reports to support decision making.
• Collaborate with cross‑functional teams to translate data into outcomes.
• Improve data quality and processing efficiency.

Skills

Python

R

Data analysis

Machine Learning

Statistical Modeling

Data Cleaning

Preprocessing

Feature Engineering

Data Structures & Algorithms

Predictive Models

Data Pipelines

SQL

Scikit-learn

TensorFlow

Hadoop

Spark

Dashboards

Education

Bachelor’s/Master’s in Data Science or Statistics

Tools

Scikit-learn

TensorFlow

Hadoop

Spark

Job description

Transform data into actionable insights and intelligent decisions

• Strong proficiency in Python, R, and data analysis techniques
• Experience in Machine Learning and Statistical Modeling
• Expertise in data cleaning, preprocessing, and feature engineering
• Knowledge of Data Structures and Algorithms
• Experience in building predictive models and data pipelines
• Python, R, SQL
• Scikit-learn, TensorFlow (optional)
• Big Data: Hadoop / Spark
• Analyze large datasets to extract insights
• Build predictive and statistical models
• Create dashboards and reports to support business decisions
• Work with cross-functional teams
• Improve data quality and processing pipelines
• Strong analytical thinking
• Problem-solving mindset

Eligibility & Conditions

• Bachelor’s/Master’s in Data Science, Statistics, or a related field
• Data analysis test may be conducted
• Commitment to data-driven decision-making