Lead Data Scientist
Thanks to this path BIP is now over 6000 professionals, present in 13 countries, with over 4500 projects behind us and the most cutting-edge knowledge in Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IOT and all the Disruptive Technologies that we put at the service of every market sector. We help our clients make the difference by creating quality on a large scale through a formula that operates on three levers: Value, People and Technology.
We believe in the value of excellence, which is the compass on which we orient our actions. We adopt an ethical and loyal approach to those who choose to work with us, promoting an environment in which people can grow together, thanks to the contamination between different skills. Role Overview We are looking for a Lead Data Scientist to guide our data science team in developing advanced machine learning solutions and data-driven insights. The ideal candidate will have strong technical expertise, proven leadership skills, and a deep understanding of how to leverage data to create business value. You will play a key role in shaping our data strategy, driving innovation, and fostering a culture of experimentation and excellence. Key Responsibilities
- Support Business Development initiatives, working closely with cross-functional and international teams to ensure alignment on priorities, knowledge sharing, and scalability of solutions;
- Contribute to the potential setup and future growth of a structured data science team in France;
- Design, build, and deploy machine learning models, predictive algorithms, and recommendation systems;
- Partner with product, engineering, and business stakeholders to identify opportunities for data-driven innovation;
- Define and drive the technical roadmap and methodological approach for data science initiatives;
- Ensure model quality, scalability, and continuous performance monitoring;
- Communicate analytical results and complex concepts clearly and effectively to executives and non-technical stakeholders;
- Establish best practices in experimentation, documentation, reproducibility, and deployment;
- Act as a thought leader in advancing the company's AI and data science capabilities.
- Degree in Computer Science, Statistics, Mathematics, Engineering, or related field (PhD is a strong plus);
- 6-8+ years of experience in data science, with a proven track record of delivering impactful ML/AI projects;
- Strong proficiency in Python, R, or similar languages, and experience with ML libraries (scikit-learn, TensorFlow, PyTorch, etc.);
- Solid knowledge of machine learning algorithms, statistical modeling, NLP and/or computer vision;
- Hands-on experience with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure);
- Ability to translate complex business problems into data-driven solutions;
- Demonstrated experience managing technical teams and leading cross-functional projects;
- Fluent in English and French ;
- Excellent communication and presentation skills .
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