Senior Data Scientist

27 décembre 2022
Groupe international
Secteur(s) : Industrie / Service BtoB
Sector(s) : Industrie / Service BtoB
Expertise(s) : Data
Expertise(s) : Data

REEMIND, Digital & Executive search and advisory firm, is recruiting for an international group in the service industry, a:

Senior Data Scientist

Based in Paris


Within the Data Factory, and in collaboration with AI Product managers, Data engineers, DevOps engineers …, you will design and build ML/AI algorithms to solve business problems and optimize them at every stage of the Product life cycle: MVMs, MVPs, Production, Industrialization, …

Extensive contribution to the framing and scoping of the use cases

  • You will work with business stakeholders to identify the business requirements and the expected outcome
  • You will collaborate with various experts (business, research, IT) to identify all relevant data and information sources necessary to the built of the use cases
  • You will model and frame meaningful business scenarios which impact business processes and decisions
  • You will identify relevant and available data, including internal and external data sources and leveraging new data collection processes such as geolocation information or social media
  • You will work with IT teams to support data collection, integration, based on the input collected with the business

Design of the right technical solutions to answer the business needs

  • You will co-realize the data and tech due diligence and State of the art analysis
  • You will design adequate AI or machine learning options to address the business needs.
  • You will identify technical risks and technical KPIs
  • You will define data approaches to be tested (algorithms scenarii) and measure cost effectiveness of these different approaches
  • Co-design the MVP infrastructure target with Data Engineers and IT teams

Leading the product life cycle of AI / ML algorithms

  • You will build MVMs, co-package them into MVPs and ensure their continuation all along the product life cycle
  • You will solve analytics problems and communicate results and methodologies
  • You will work in iterative processes with the business and develop experimental design approaches (AB Testing) to validate findings or test hypotheses
  • You will employ the appropriate algorithm to discover patterns
  • You will present and depict the logic of their findings in easy-to-understand terms for the business

Ensuring information quality, running performance and metrics measurements

  • You will assess, with the business, the expected qualification and assurance of the information in support of the use case, and demonstrate the following qualities: clarity, precision, relevance, depth, breadth, logic, significance, and fairness
  • You will define validity of the information, how long the information is meaningful, and what other information is needed


  • Master’s degree in mathematics, statistics or computer science or related field
  • 5+ years of relevant quantitative and qualitative research and analytics experience
  • Solid knowledge of statistical techniques
  • The ability to come up with solutions to defined business problems by leveraging pattern detection over potentially large datasets
  • Strong track record using machine learning algorithms in production context
  • Strong programming skills (such as Spark or other), and machine learning (Python, Databricks, R)
  • Experience working in cloud environments, ideally within the Azure Cloud ecosystem
  • Proficiency in the use of statistical packages or classical data science packages
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Strong communication and interpersonal skills
  • Strong business acumen
  • Fluent English required

Are you ready to take on this challenge? Apply now!