- the ability to understand and frame problems,
- the technical talent to identify and develop the best data approaches with the team,
- the project management skills to specify clear deliverables and prioritization for the team,
- and the story-telling needed to identify and communicate clear, understandable insights to non-technical audiences.
- Manages team of 3-6 data science direct reports at different skill and experience levels
- Develops technical approach for data science projects with team
- Oversees multiple complex technical projects, with the ability to clearly define deliverables, timelines, roles and responsibilities with the team
- Interacts with customers as needed for customer insight, business development support and project delivery
- Strong communication, collaboration and support with key internal teams to deliver successful projects and solutions; close team interactions include software development, bioinformatics, project management, sales, marketing and executive management
- 3 years of experience managing a data science team
- 4 year degree (or equivalent) in Data Science, Mathematics, Computer Science or related field
- 5 years of experience in data science with focus on analyzing data
- 5 years of programming experience in at least one of the most employed programming languages in data science: Python, R, or similar high level languages
- Demonstrated Python proficiency and knowledge of Javascript, CSS and other programming languages for the web and data visualization are preferential
- Experience with common productivity software such as Word, Excel, PowerPoint
- Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
- Excellent written and verbal communication skills for coordinating across teams with multidisciplinary skill-sets.
- Proven experience in machine learning and statistical modeling
- Proven experience in software and/or pipeline development for data science needs
- Ability to present data-based insights to non-data science audience
- Fluent in Python for data science applications
- Passion for discovering novel solutions for the analysis of testing data and work with stakeholders to improve business outcomes.
- Creative mindset—ability and willingness to try new out-of-the-box approaches that might better fit the problem at hand
- Strong focus on value-creation for the customer and the team, in terms of short-term, day-to-day benefits and longer-term problem-solving
- Collaborative mindset as you will work with a global team of data scientists, bioinformaticians, microbiologists and software developers.
- Learning together—adept at contributing to a growing pool of data solutions and sharing knowledge within the international team
- Focus on communication—strong team interactions, and the ability to communicate analytic solutions to stakeholders and provide suggestions to implement improvements as needed to operational systems
- Capacity for self-development, independent work and flexibility to adapt to novel situations
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Data Science Manager - CRAPONNE, France - bioMerieux SA Career Site - MULTI-LINGUAL
Description
A world leader in the field of in vitro diagnostics for 60 years, bioMérieux provides diagnostic solutions intended for clinical and industrial applications, which determine the origin of a disease or a contamination to improve the health of patients and insure consumer safety.
Our Industrial Microbiology Unit brings together more than 900 employees around the world. Our mission is to provide the agri-food, pharmaceutical and cosmetic industries with microbiology control solutions to improve product safety and quality.
Come and join a family-owned global company with a long-term vision, and a human-centered culture.
What are your main accountabilities ?
We are seeking an experienced data scientist leader to join our global Data & Genomics team. This will be an exciting opportunity to bring state-of-the-art data analysis and data modeling techniques to solve critical customer quality and safety challenges through data in the Global Food space. Using statistical analysis and machine learning techniques, the candidate will actively participate in the effort to define, develop and deliver state-of-the-art data solutions to solve critical customer quality and safety challenges in the Global Food space.
You will work in a global team, managing and expanding a diverse group of data scientists in both a leadership/ coaching role and as an individual contributor on strategic projects. You will need:
Your responsibilities :
What is your profile?
Technical skills :
Ways of working :
Location: Lyon (FR)/ Rennes(FR) / Philadelphia (US) / Saint-Louis (US) / Chicago (US) / Ghent (BE)
bioMérieux welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.