Description
We are searching for a talented and experienced Data Scientist to join our team and contribute to our data-centric initiatives. The successful candidate will play a pivotal role in analyzing large datasets, designing machine learning models, and collaborating with stakeholders to deliver innovative solutions. This role offers an opportunity to work with cutting-edge technologies and have a direct impact on our business strategies.

Responsibilities
- Analyze complex datasets to identify trends and patterns, uncovering business opportunities.
- Design, develop, and deploy machine learning models, ensuring their validation and optimization.
- Build efficient data pipelines for data preparation, feature engineering, and model training.
- Perform exploratory data analysis and statistical techniques to derive meaningful insights.
- Develop a range of models including forecasting, classification, clustering, and anomaly detection.
- Collaborate closely with business stakeholders to understand their requirements and translate them into analytical solutions.




- Communicate findings and recommendations through comprehensive reports, dashboards, and presentations.
- Monitor model performance and implement necessary improvements to enhance accuracy and efficiency.
- Work in tandem with Data Engineers, BI Developers, and Product Owners to ensure seamless integration of data-driven solutions.
- Adhere to data governance, security, and compliance standards throughout the data science lifecycle.

Qualifications
- 3-6 years of hands-on experience in Data Science or Machine Learning, demonstrating a solid track record.
- Proficiency in Python, particularly with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
- Experience with SQL and data manipulation across structured and unstructured datasets is essential.
- A solid understanding of statistical concepts, probability theory, hypothesis testing, and predictive analytics.
- Proven ability to build and

📌 Data Scientist (Mumbai)
🏢 Zensar Technologies
📍 Mumbai