Job Title: Data Scientist

Location: United States — Onsite / Hybrid / Remote

Employment Type: W2 | Full-time

Key Responsibilities:

* Collect, clean, and analyze structured and unstructured data from multiple sources.

* Develop and implement machine learning models, predictive analytics solutions, and statistical models to solve business problems.

* Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities.

* Apply machine learning algorithms such as regression, classification, clustering, and time-series forecasting.

* Build data pipelines for data preprocessing, feature engineering, model training, and validation.

* Use Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch for data analysis and model development.

* Create interactive dashboards and visualizations using tools like Tableau, Power BI, Matplotlib, and Seaborn.

* Work with SQL and relational databases to extract, manipulate, and analyze large datasets.

* Collaborate with data engineers, business analysts, and stakeholders to understand requirements and deliver data-driven solutions.

* Evaluate model performance using metrics and optimize models for accuracy and scalability.

* Deploy and monitor machine learning models in production environments.

* Communicate findings, insights, and recommendations to technical and non-technical stakeholders.

* Stay current with the latest advancements in data science, machine learning, and analytics.

Contact:

Sujith Kumar Pappu, Talent Management Team

Data Scientist