Data Scientist with Python and R

hace 3 semanas

Aguascalientes, México Capgemini A tiempo completo

**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.
- 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.

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