Senior Data Scientist
Grenoble, France
Process Engineering – Process Innovation Team /
CDI / Permanent position /
On-site
Description of the role :
- Senior data mining engineer’s role is to define and design feasible & viable scenarios from requirements desired for digital manufacturing and smart factory. This individual is also responsible for well-designed data acquisition approach, to acquire higher quality of integrated data.
- Senior data mining engineer should scientifically determine the value and significance of hidden information beneath raw data, and understand how it relates to the project goals. Aiming at providing reliable &persuasive &solid decision proposal and dig out latent data value from big data , this job will be increasingly critical as more pattern discovered beneath data lake.
- The engineer will report to the leader of Process Innovation team, and should be capable of designing algorithms independently to fulfill tasks allocated. Structured thinking and data sensitiveness are compulsory.
Missions :
- Requirement analysis, design &evaluate technical scheme with advanced technologies such as ML, time series etc. ,to achieve goals of projects
- Data analysis, mining data value among massive raw data, draw conclusions about data distribution, variation tendency, incidence relation, classification etc.
- Build models based on big data, form data report with concrete evidences and valuable discoveries
- Drive digital operation based on solid model performance
- Provide data proofs from quality, productivity, efficiency point of view, help improve digitalization level
- Support sensor deployment designing, data acquisition for production line
- Focus on cutting edge technology development and latest AI applications for manufacturing, collect essential information and write reports with insights, innovative ideas and plans
- Responsible for ROI of assigned tasks
Prerequisites :
- Strong fundamental knowledge on sensor technologies to drive IOT projects
- Experience in Nodered & influxDB is a plus
- Experience in Agile based software development is required
- Fundamental knowledge on SQL, NOSQL database is required
- Understanding of Knowledge Graph is a plus
- All necessary techniques for data mining is required, such as data extraction, feature engineering etc.
- Proficient in ML techniques is required, DL&RL is a plus
- Strong knowledge on Scikit-learn, pandas, familiar with at least one DL frameworks such as pytorch, keras etc.
- Knowledge on AutoML, Hyper parameter optimization is a plus l Good to have R, Matlab knowledge
- Strong knowledge on Python, C++
- Over 10 Years of Artificial intelligent program and LIB industry experience is a plus
- Strong Knowledge on time series forecasting techniques
- Knowledge of time series classification and class activation mapping is a plus
- Experience of embedded development is a plus
- Capable of deployment is required, such as HW requirements, environmental compatibility evaluation, Encapsulation etc.
- Excellent team player who is open to new ideas and thoughts
- Good English written and oral skills
- Highly organized and result driven
- Capable to work under pressure and tight deadlines
- International environment
- Interpersonal skills: Flexibility, Motivation and Passion, sense of quality, Positive and can do attitude, friendliness
- Education/Experience: BE/MS in computer science ,mathematics ,statistics, AI or related field
