Consultant in Data Science

Job Description As a consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives: Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,) Operational research : a statistical approach to decision making, optimization and planning, and data analysis. You will work closely with our clients to understand their needs and develop solutions that meet their business objectives. Your tasks will include: Data analysis and visualization, Data mining and machine learning, Predictive modeling and forecasting, Data quality and data governance, Data storytelling and communication. You will also be responsible for: Developing and maintaining data pipelines, Designing and implementing data architectures, Collaborating with cross-functional teams, Providing data-driven insights and recommendations, Staying up-to-date with industry trends and best practices. You will be expected to: Work independently and as part of a team, Communicate complex technical information to non-technical stakeholders, Develop and maintain technical documentation, Participate in knowledge sharing and collaboration with other consultants, Stay current with industry trends and best practices. You will have the opportunity to: Work on a wide range of projects and clients, Develop your skills and expertise in data science, Collaborate with other consultants and experts, Contribute to the development of new methodologies and tools, Participate in training and development programs. We are looking for a consultant with a strong background in data science, machine learning, and statistics, who is able to work independently and as part of a team. You should have: A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field, Strong programming skills in languages such as Python, R, or SQL, Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn, Familiarity with data visualization tools such as Tableau, Power BI, or D3.js, Knowledge of data governance and data quality principles, Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud, Strong analytical and problem-solving skills, Excellent communication and collaboration skills, Ability to work in a fast-paced environment and adapt to changing priorities, Willingness to learn and stay up-to-date with industry trends and best practices. If you are a motivated and talented data scientist looking for a new challenge, we would like to hear from you.