Nextgen Technology - Data Scientist - R/Python (7-10 yrs)

Job Description :

Key Responsibilities :

- Work on Exploratory Data Analysis (EDA) and data wrangling to clean, process, and visualize large datasets.

- Develop and implement Machine Learning models for demand forecasting using Python.

- Perform feature engineering to improve model accuracy and performance.

- Handle time-series data processing for accurate and efficient forecasting.

- Collaborate with cross-functional teams to deliver actionable insights from data analysis.

- Use Excel for basic data manipulation tasks like pivoting, creating formulas (e.g., VLOOKUP, SUMIF), and performing aggregation functions.

- Work with SQL to query databases, write complex queries using JOIN, GROUP BY, WHERE clauses, and subqueries.

- Deliver solutions and insights for business forecasting to meet project timelines.

- Architect and build end-to-end machine learning solutions, covering data extraction, feature engineering, model development, validation, deployment, and monitoring, grounded in statistical analysis.

- Develop and maintain robust MLOps pipelines to automate and scale model deployment, ensuring workflow reliability.

- Apply statistical techniques such as hypothesis testing, A/B testing, and regression analysis to validate models, enhancing decision-making.

- Translate complex business problems into analytical solutions using statistical reasoning; provide expert guidance on data science use cases.

Qualifications :

Education : Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. PhD preferred.

Experience : 7+ years of experience as a Data Scientist or in a related role.

Technical Skills :

- Strong proficiency in Python and R programming languages.

- Experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.

- Experience with data visualization libraries such as matplotlib, seaborn, and Tableau.

- Experience with big data technologies such as Hadoop, Spark, and SQL.

- Experience with cloud computing platforms such as AWS, Azure, or GCP (preferred).

Preferred Skills :

- Experience with natural language processing (NLP) and deep learning techniques.

- Experience with time series analysis and forecasting.

- Experience with data mining and predictive modeling.

- Strong communication and presentation skills.

- Experience with Agile development methodologies.