Data Scientist

Durapid Technologies Pvt Ltd; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Durapid Technologies Pvt Ltd in India seeks a Data Scientist/Data Science Analyst with 3–5 years of experience to build predictive models, analyze complex datasets, and deliver actionable business insights. Proficiency in statistics, ML, Python, SQL, and data visualization is required to solve real-world business problems using data-driven approaches.

The candidate will collect, clean, and analyze data, deploy ML models, perform EDA, and create dashboards to communicate insights.

Qualifications

• 3–5 years of experience in data science or analytics.
• Strong statistics, ML, Python, SQL, and data visualization skills.
• Ability to deliver actionable business insights from data.

Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Develop and deploy machine learning models for predictive analytics.
• Perform statistical analysis, hypothesis testing, and EDA.
• Build and optimize data pipelines for analytics and reporting.
• Write efficient SQL queries for data extraction and transformation.
• Create dashboards and visualizations to communicate insights.
• Collaborate with cross-functional teams to identify business opportunities.
• Monitor and improve model performance in production.

Skills

Statistics

Machine Learning

Python

SQL

Git

Streamlit

Education

Bachelors or Masters in CS/Data Science/Statistics/Mathematics

Tools

NumPy

Pandas

Scikit-learn

Matplotlib

Power BI

Job description

Job Summary

We are looking for a skilled Data Scientist / Data Science Analyst with 3–5 years of experience to build predictive models, analyze complex datasets, and deliver actionable business insights. The ideal candidate should have strong expertise in statistics, machine learning, Python, SQL, and data visualization, with the ability to solve real-world business problems using data-driven approaches.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Develop and deploy machine learning models for predictive analytics.
• Perform statistical analysis, hypothesis testing, and exploratory data analysis (EDA).
• Build and optimize data pipelines for analytics and reporting.
• Write efficient SQL queries for data extraction and transformation.
• Create dashboards and visualizations to communicate insights.
• Collaborate with cross-functional teams to identify business opportunities.
• Monitor and improve model performance in production.

Required Skills

• Strong knowledge of Statistics (Probability, Hypothesis Testing, Regression Analysis).
• Experience with Machine Learning algorithms (Supervised & Unsupervised Learning).
• Proficiency in Python (NumPy, Pandas, Scikit-learn, Matplotlib).
• Strong SQL programming and data manipulation skills.
• Experience with Git and Streamlit.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Exposure to Deep Learning, NLP, or Generative AI is an added advantage.
• Experience with Power BI or Tableau is preferred.