Data Scientist with Python and R

Aguascalientes, AGU, MX

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

View all jobs at Capgemini

Apply now Apply later

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”

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Data Science Jobs

Tags: A/B testing AWS Azure Bayesian Big Data Cassandra Classification Clustering Data analysis Deep Learning Django EDA Engineering Feature engineering Flask GCP Git GitHub GitLab Google Cloud Hadoop Jupyter Keras Machine Learning Matplotlib ML models Model deployment MongoDB NLP NoSQL NumPy Pandas Plotly Python PyTorch R RDBMS Scikit-learn Seaborn Spark SQL Statistics TensorFlow Testing

Perks/benefits: Career development Competitive pay

Region: North America
Country: Mexico

More jobs like this