Data Scientist | Full-Time | Capgemini

Job Overview:

Capgemini is seeking a highly skilled Data Scientist to analyze and interpret complex datasets, enabling data-driven decision-making. The ideal candidate will leverage advanced analytics, statistical modeling, and machine learning techniques to develop impactful data solutions for business growth.

Key Responsibilities:

✔ Data Analysis & Processing: Collect, clean, transform, and analyze large datasets using Python (pandas, NumPy).
✔ Statistical Modeling: Apply regression analysis, hypothesis testing, and probability theory to extract meaningful insights.
✔ Machine Learning: Implement supervised & unsupervised learning models using scikit-learn, TensorFlow, or PyTorch.
✔ Data Visualization: Create compelling visual representations using Matplotlib, Seaborn, or ggplot.
✔ Big Data & Cloud Computing: Work with Apache Hadoop, Apache Spark, and Azure Machine Learning to handle large-scale data processing.
✔ Database Management: Utilize SQL for querying, managing, and optimizing structured databases.
✔ Data Engineering: Assist in designing data pipelines, integration, and warehousing for seamless data workflows.
✔ Version Control & Collaboration: Maintain and track code using Git for efficient team collaboration.

Candidate Requirements:

🔹 Strong programming skills in Python and data manipulation tools.
🔹 Hands-on experience with machine learning algorithms & model deployment.
🔹 Proficiency in SQL & database management.
🔹 Familiarity with cloud platforms like Azure is a plus.
🔹 Experience in big data technologies for large-scale analytics.
🔹 Ability to interpret data and provide business insights effectively.