Data Scientist with Python and R

hace 2 semanas

Aguascalientes, Aguascalientes, México Capgemini A tiempo completo

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Key Responsibilities:
  • 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).
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.

Ref. code 1842838

Posted on 18 Dec 2024

When you join Capgemini, you don't just start a new job. You become part of something bigger.

Learn about how the recruitment process works – how to apply, where to follow your application, and next steps.

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