At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your roleWe are looking for an experienced and results-driven Data Scientist with a solid understanding of advanced data analysis, capable of extracting valuable insights to support business strategy. This professional will be responsible for exploring large volumes of data and transforming this information into actionable recommendations, using statistical models, machine learning, and other data analysis techniques.
Analyze large volumes of data from different sources and generate actionable insights for various areas of the company (marketing, product, operations, etc.);Develop and implement predictive models, machine learning algorithms, and statistical analysis techniques to solve business problems;Explore data of different natures and complexities using analysis and visualization tools to identify trends and hidden patterns;Collaborate with teams across different areas, such as data engineering and business, to define analysis requirements and objectives;Create clear, effective, and intuitive dashboards and reports to communicate findings and recommendations to stakeholders;Ensure model validation, interpretation, and alignment with business needs, proposing continuous optimizations and adjustments;Stay updated on the latest data analysis and machine learning methodologies, applying them to improve processes and outcomes;Work with different types of data (structured, semi-structured, and unstructured) and various analytics platforms (cloud and on-premises);Apply data mining techniques, time series analysis, clustering analysis, regression, and other statistical techniques to extract value from data.Your profileProven experience as a Data Scientist, with at least 4 years in advanced analytics and data modeling;Strong skills in applied statistics and machine learning, with knowledge of areas such as regression, classification, clustering, decision trees, neural networks, and other techniques;Proficiency in Python and R, with experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch;Experience in data analysis and visualization with tools like Tableau, Power BI, or equivalents;Ability to work with relational databases (e.g., SQL) and NoSQL databases (e.g., MongoDB);Familiarity with Big Data platforms (Hadoop, Spark) and experience in cloud environments (e.g., AWS, Azure, Google Cloud);Ability to interpret complex data and provide clear, actionable business recommendations;Experience in creating prototypes and proof of concepts (PoC) for new models or analytical techniques;Capacity to work independently and in teams, with strong communication skills to translate technical terms into accessible language for various stakeholders;Solid understanding of statistics and model validation methods, such as A/B testing, cross-validation, and others;Ability to solve complex problems with critical thinking and deep data analysis;Attention to detail, with a focus on quality, accuracy, and impact on business results;Knowledge of artificial intelligence and natural language processing (NLP) is a plus.What you'll love about working hereJoin a multicultural and inclusive team environment;Enjoy a supportive atmosphere promoting work-life balance;Engage in exciting national and international projects;Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities;Training and certifications programs;Referral program with bonuses for talent recommendations;Great office locations.Why Capgemini?Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
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