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”