Junior Data Scientist

**Job Title: Data Scientist** **Experience:** 2 to 5 Years **Location:** Bengaluru **Shift Time:** 9AM to 6 PM IST **Job Type:** Full\-time ( **Immediate Joiners only** ) **Summary** We are seeking a highly analytical Senior Data Scientist with 2–4 years of experience to design and deploy advanced statistical, forecasting, and machine learning solutions. The ideal candidate will have a strong foundation in Python, Spark, and SQL, with a proven track record of building production\-ready models that solve complex business problems. **Key Responsibilities** * **Statistical Modeling \& Forecasting:** Build and deploy probabilistic forecasting models for demand and capacity using regression, ARIMA/SARIMA, and state\-space models. * **Machine Learning Development:** Develop and experiment with regression, tree\-based models, gradient boosting, and neural networks, selecting approaches based on accuracy and interpretability. * **MLOps \& Production Governance:** Own the full model lifecycle, including backtesting, deployment, monitoring for data drift, and ensuring models are versioned and reproducible. * **Data Engineering \& Feature Extraction:** Perform exploratory data analysis (EDA) and feature engineering on large datasets, partnering with engineering teams to ensure data quality and pipeline efficiency. * **Cross\-functional Collaboration:** Work closely with product managers and engineers to define analytics requirements and clearly communicate modeling assumptions to non\-technical audiences **Required Qualifications \& Experience** * **Experience:** 2–4 years of proven experience as a Data Scientist or Data Analyst. * **Core Technical Skills:** Strong proficiency in Python, SQL, and big data technologies like Spark or Hadoop. * **Machine Learning:** Hands\-on experience with frameworks such as Scikit\-learn, TensorFlow, or PyTorch, including deep learning applications. * **Statistical Expertise:** Solid understanding of time series analysis, hypothesis testing, and probabilistic forecasting methods. * **Gen AI Exposure:** Potential experience or interest in working on Generative AI projects is highly valued for this role. * **Education:** Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. **Preferred Skills / Certifications** * **Cloud Platforms:** Experience with Google Cloud Platform (GCP), AWS, or Azure is an added advantage. * **Tools:** Familiarity with data visualization tools and modern MLOps practices. * **Distributed Computing:** Advanced experience with PySpark for scalable modeling and data processing.