Data Scientist

Data Scientist - Vertix ai/Llama/Edge AI

Capgemini Engineering, a global leader in engineering services, brings together engineering, science and architecture teams to help the world’s most innovative companies unlock their potential and contribute to a better future. From self-driving cars to life-saving robots, our digital and software experts go beyond the conventional, providing unique R&D and engineering services across all business sectors.

Responsibilities:

• Collect and preprocess data from various sources to ensure it is clean, accurate, and ready for analysis.
• Explore and understand the characteristics of the data to inform modeling decisions.
• Apply statistical methods to analyze data trends and patterns.
• Conduct hypothesis testing to validate findings and draw meaningful conclusions.
• Develop, implement, and fine-tune machine learning models to solve specific business problems.
• Select appropriate algorithms based on the nature of the data and the problem at hand.
• Identify and create relevant features from raw data to enhance model performance.
• Consider domain knowledge to engineer features that capture meaningful information.
• Assess the performance of machine learning models using appropriate metrics.
• Implement cross-validation techniques to ensure model generalizability.
• Work closely with domain experts, engineers, and other stakeholders to understand business requirements and incorporate domain knowledge into data science solutions.
• Present findings and insights through compelling data visualizations.
• Communicate complex technical concepts to non-technical stakeholders effectively.
• Stay updated on the latest advancements in data science, machine learning, and relevant technologies.
• Experiment with new tools and techniques to improve model performance.
• Ensure the ethical use of data, considering issues related to bias, fairness, and privacy.

Qualifications:

• BS in Computer Science, Statistics, Mathematics, or a related discipline with 5+ years of experience.
• Experience in Llama AI/Vertex AI/Edge AI.
• Advanced degrees (Master's or Ph.D.) are preferable.
• Proficient in the programming language Python.
• Familiarity with libraries and frameworks like NumPy, pandas, scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical concepts and techniques, including regression, hypothesis testing, and probability.
• Experience with a variety of machine learning algorithms and techniques for classification, regression, clustering, and feature selection.
• Skills in data manipulation and analysis using tools like SQL and data manipulation libraries in Python or R.
• Familiarity with big data tools and technologies, such as Hadoop, Spark, and distributed computing.
• Proficiency in data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI.
• Depending on the industry, having domain-specific knowledge can be highly beneficial.
• Strong communication skills to convey complex findings to both technical and non-technical stakeholders.
• Critical thinking and problem-solving abilities to address complex business challenges using data-driven approaches.

ABOUT CAPGEMINI:

Capgemini is a global leader in transforming clients' businesses by harnessing the full power of technology. We are guided by a purpose to achieve an inclusive and sustainable future through technology and the energy of those who make it. We are a responsible and diverse company, a leading international IT and engineering services company with more than 360,000 professionals in over 50 countries. With a strong 55-year heritage and deep industry expertise, clients trust Capgemini to address their total business needs, from strategy and design to operations, driven by the fast-paced world of cloud, data, AI, connectivity, software, digital platforms and engineering.