R&I Data Scientist - Statistics Expert

Contenu de l'offre R&I Data Scientist - Statistics Expert chez Solvay

General Information

Location:
City: Aubervilliers Country: France Region: Europe
City: '- Country: - Region: Europe
Job Category: Research & Innovation Job Type: Regular Type of Contract: Permanent Working time: Full-time Work schedule: Day shift Solvay is a science company whose technologies bring benefits to many aspects of daily life. With more than 24,100 employees in 64 countries, Solvay bonds people, ideas and elements to reinvent progress. The Group seeks to create sustainable shared value for all, notably through its Solvay One Planet plan crafted around three pillars: protecting the climate, preserving resources and fostering better life. The Group’s innovative solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices, health care applications, water and air purification systems. Founded in 1863, Solvay today ranks among the world’s top three companies for the vast majority of its activities and delivered net sales of €10.2 billion in 2019. Solvay is listed on Euronext Brussels (SOLB) and Paris and in the United States, where its shares (SOLVY) are traded through a Level I ADR program.

The Research & Innovation function (R&I) leads Solvay into new growth territories with breakthrough innovation to generate new products, applications and processes in the field of sustainable chemistry. Partners with the GBUs to deliver more value and leverages the Group’s capabilities to improve competitiveness and create new business opportunities for Solvay and its customers.

Job Overview and Responsibilities

Solvay is taking a leap for digital transformation to accelerate Solvay G.R.O.W. strategy, and our sustainability roadmap, Solvay One Planet. Digital will allow Solvay to move differently from the past, transforming all aspects of the business, from channels and processes, to data and operating models, and ultimately the entire Group culture. To make this Digital Transformation happen, Solvay has created in 2021 a dedicated Digital entity headed by a Chief Digital Officer and is reinforcing Data Science by recruiting Data Scientists across the globe to develop, maintain and improve advanced analytics models with data science techniques. As a Data Scientist you will join a multidisciplinary team, you will drive the creation of actionable insight from our data lakes, develop new approaches/algorithms, to accelerate research & development (discover new formulations and materials), produce more efficiently (improve processes, planning and scheduling) and finally, accelerate sustainability. You will be instrumental in delivering our digital and technology transformation. Large scale investment in Digital & Information Technology is expected over the next five years to accelerate our transformation and reduce complexity as well as running costs in line with our Purpose and G.R.O.W. strategy. Join the journey !
The Research & Innovation (R&I) Data Scientist Statistics Expert will support the acceleration of our digital transformation.
He/she will work closely with Solvay domain experts in Chemistry and Material sciences to support their research activity with Data Science based solutions. Work directly with domain experts to translate the business needs into statistics problems Gather internal or external data and validate data quality Leverage advanced statistical methods to analyze experimental data in chemistry, formulation, materials Communicate results and support stakeholders in understanding and utilization of the results Actively contribute to the development of the AI and statistics expertise with the Group R&I and the Solvay Group in general

Education and Experience

PhD (preferred) or MS in Statistics, Computer Sciences, Artificial Intelligence or equivalent A minimum of 2 years of experience in applied statistics (Preferred) experience in working with chemistry and material R&I data, including applicability test results, analytical data (Spectroscopy, Spectrometry, etc) or synthesis experiments Very good communication skills in English

Skills

Excellent problem solving skills Excellent skills in statistical analysis, including statistical tests, exploratory analysis, unsupervised algorithms Good practical knowledge of data preparation, cleaning, visualization Knowledge of Design of Experiments, experience with Minitab Good programming skills in R, Python, or other statistical scripting (Prefered) knowledge of Machine Learning, predictive modelling, optimization (Preferred) understanding of R&I issues in Chemistry and Materials, specifically regarding the domain of formulations (Desired) Training and experience with Agile practices
Soft skills: Highly collaborative mindset Ability to build strong relationships with peers and colleagues across the Group R&I organization Self-motivated and independent: The candidate will need to be able to manage a full process from business interview to analysis to results explanation Communication skills to present updates, risks and issues in a clear & timely manner

Additional Information