RH: Raul García

Position: Data Scientist with Python

Location: Aguascalientes, Mexico

Industry - Sector: MALS

What you’ll do?

• Analyze large datasets to identify trends, patterns, and relationships that can drive business insights.
• Perform exploratory data analysis (EDA) to gain a deeper understanding of datasets and prepare them for modeling.
• Develop machine learning models for classification, regression, clustering, and recommendation systems using Python libraries (e.g., Scikit-learn, TensorFlow, Keras).
• Fine-tune and optimize models for better performance, accuracy, and scalability.
• Clean and preprocess raw data from various sources to ensure quality and readiness for analysis and model development.
• Handle missing data, outliers, and feature engineering to enhance model performance.
• Apply statistical methods such as hypothesis testing, A/B testing, and time series analysis to draw insights from data.
• Conduct experiments to validate assumptions and hypotheses for business applications.
• Create data visualizations using tools like Matplotlib, Seaborn, or Plotly to convey insights clearly to stakeholders.
• Present findings and actionable insights to business leaders and non-technical teams in a clear and concise manner.
• Work closely with cross-functional teams (engineering, business, marketing) to understand data requirements and deliver solutions.
• Collaborate on the development of new data products and features that add value to the business.
• Stay current with the latest trends in data science, machine learning, and artificial intelligence.
• Explore new tools, techniques, and methodologies to improve analysis and modeling processes.

What you’ll bring:

• Strong proficiency in Python, with expertise in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, etc.
• Experience with scripting and automation for data analysis and model deployment.
• Hands-on experience with machine learning algorithms such as linear regression, logistic regression, decision trees, SVMs, k-means clustering, random forests, and gradient boosting.
• Knowledge of deep learning techniques, especially for neural networks and natural language processing (NLP).
• Solid foundation in statistics, including hypothesis testing, statistical inference, and experimental design.
• Experience with A/B testing, time series analysis, and Bayesian statistics.
• Expertise in cleaning, transforming, and processing large datasets for analysis and modeling using Python and related tools.
• Familiarity with handling missing data, outliers, and feature engineering.
• Proficiency in visualizing data insights using Python libraries (e.g., Matplotlib, Seaborn, Plotly, Bokeh).
• Ability to create clear, informative visual reports for non-technical stakeholders.
• Experience working with large datasets and big data tools (e.g., Apache Spark, Hadoop, SQL).
• Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Familiarity with version control systems such as Git.
• Experience with collaborative tools like Jupyter Notebooks, GitHub, or GitLab.
• Strong knowledge of SQL for querying relational databases.
• Familiarity with NoSQL databases like MongoDB or Cassandra is a plus.
• Experience in deploying machine learning models to production environments (e.g., using Flask, Django, or cloud-based solutions).

Soft skills:

Work Underpressure, Quality at work, Results Oriented

What can YOU expect in a career with Capgemini?

• Working in a team environment, Consultants will focus on the analysis, design and development of technology-based solutions for Capgemini’s clients.
• You will work alongside technical, functional and industry specialists to assist with the development, implementation and integration of innovative system solutions including methods, techniques and tools.
• You will contribute to client satisfaction by providing timely and responsive value-added services and work products.
• Capgemini offers a competitive compensation and benefits package.
• Headquartered in Paris, France, Capgemini has a presence of more than 340 thousand professionals in Mexico distributed among 3 sites located in Mexico City, Monterrey and Aguascalientes. A deeply multicultural organization.
• Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore, its worldwide delivery model.

You will love this job because

• Capgemini focuses on giving each new hire a YOU-nique experience through our recruitment process and on-boarding program, as well as by helping you to build your own career and professional skills foundation.
• Capgemini provides a collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun.
• Capgemini cultivates an atmosphere for development that enables YOU to be hands-on, planning for your growth, both horizontally and vertically.

“At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position”