Data Scientist

Transform data into actionable insights and intelligent decisions

Core Technical Expertise
Robust 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

Tools Technologies
Python, R, SQL
Pandas, NumPy, Matplotlib, Seaborn
Scikit-learn, TensorFlow (optional)
Power BI / Tableau for visualization
Big Data: Hadoop / Spark
Cloud: AWS / Azure / Google Cloud

Responsibilities
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

Soft Skills
Solid analytical thinking
Attention to detail
Problem-solving mindset
Positive communication skills

Eligibility Conditions
Minimum age: 18+
Bachelor s/Master s in Data Science, Statistics, or a related field
Data analysis test may be conducted
Portfolio / Kaggle projects preferred
Commitment to data-driven decision-making

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist Bengaluru (India)
🏢 Rupstech
📍 India