Data Scientist with Python and R

**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.