<div>Durapid Technologies is dedicated to providing IT solutions for enterprises all across the globe. The digital transformation experts at Durapid Technologies assist enterprises with leveraging existing systems by embedding technology into them. Be it researching, forecasting, optimizing service delivery, or any other business process— we have simplified them all! With a decade-long experience in enterprise digital transformation, we are well versed with the domain and know the challenges faced by an enterprise when adopting a digital business transformation. Our team of professionals holds expertise in: - Custom Software Development - Mobile Application Development - Business Intelligence Powered Applications - Cloud Migration - Legacy Application Modernization - Application Portfolio Consolidation - Software Integration - Agile Development - UX/UI Designing - Quality assurance - Application Maintenance &amp; Support It simply means that we are a one-stop-shop for all digital solution requirements of an enterprise! Over the years we have developed several digital solutions that have fostered growth for enterprises belonging to healthcare, finance, edTech, eCommerce, banking, healthcare, and manufacturing sector. Moreover, we believe in maintaining complete transparency when executing all our projects— accountability, timely reporting &amp; delivery along, and working as per client feedback are our irresistible core values. We suggest you pay a visit to www.durapid.com to learn more about our deliverables and work style. Alternatively, connect at sales@durapid.com or +91982865538 to discuss your project requirements.</div>

Durapid Technologies Pvt Ltd

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
<ul>
<li>Collect, clean, and analyze structured and unstructured data.</li>
<li>Develop and deploy machine learning models for predictive analytics.</li>
<li>Perform statistical analysis, hypothesis testing, and exploratory data analysis (EDA).</li>
<li>Build and optimize data pipelines for analytics and reporting.</li>
<li>Write efficient SQL queries for data extraction and transformation.</li>
<li>Create dashboards and visualizations to communicate insights.</li>
<li>Collaborate with cross-functional teams to identify business opportunities.</li>
<li>Monitor and improve model performance in production.</li>
</ul>
Required Skills
<ul>
<li>Strong knowledge of Statistics (Probability, Hypothesis Testing, Regression Analysis).</li>
<li>Experience with Machine Learning algorithms (Supervised &amp; Unsupervised Learning).</li>
<li>Proficiency in Python (NumPy, Pandas, Scikit-learn, Matplotlib).</li>
<li>Strong SQL programming and data manipulation skills.</li>
<li>Experience with Git and Streamlit.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
</ul>
Preferred Qualifications
<ul>
<li>Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li>
<li>Experience with cloud platforms (AWS, Azure, or GCP).</li>
<li>Exposure to Deep Learning, NLP, or Generative AI is an added advantage.</li>
<li>Experience with Power BI or Tableau is preferred.</li>
</ul>