Data Scientist (PhD required)

Contenu de l'offre Data Scientist (PhD required) chez Science me Up

Description du poste
OBSERVABLE UNIVERSE OF THE COMPANY Our client is a french start-up specialized in shipping delivery (short, long-distance, and last-mile delivery) for private individuals, merchants, and corporations. They have developed an app and soon in the market a SaaS application for the B2B sector.
MISSIONS You will reports directly to the CTO and work in collaboration with another researcher in data science but also on certain tasks with the team of software developers, designers, UX designers, DevOps, QA testers.
Literature review on data science research. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Profil recherché
ACADEMIC SPHERE Ph.D. in Computer science or Statistics with research expertise in data science.
VITAL SPHERE Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coding knowledge and experience with several languages: TypeScript, JavaScript, etc Experience using web services Experience analyzing data from 3rd party providers: Google Analytics, Adwords, Facebook Insights, etc.
ORBITAL SPHERES Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Research expertise on one of these topics is an asset : NLP, geographic information system (GIS) , optimization or Buisness Intelligence (marketing, customer behavior).
BEHAVIORAL SPHERES A drive to learn and master new technologies and techniques. Strong problem-solving skills with an emphasis on product development. Excellent written and verbal communication skills for coordinating across teams.
SATELLITE INFORMATION Takeoff date: June - September 2021 Rocket launch site: Paris, with 2 days/week of remote working Fuel: 43 - 50 KE

Publiée le 14 Avril.