Senior R&D Data Scientist

Covestro AG Pittsburgh , PA 15201

Posted 7 days ago

We are Covestro. We are curious. We are courageous. We are colorful. We refined Chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,150 colleagues now and together we will make the world a brighter place.


At Covestro, our strategy to focus on customer and market needs, drive sustainable growth, and become fully circular rests on a foundation of digital transformation. Our digital transformation touches work areas as diverse as Digital Infrastructure, Knowledge Flow, Data-Driven R&D, and R&D Simulations. As part of a global Digital R&D team of world-class digital R&D experts, this position will play a key role in building our North American Digital R&D group into all of these areas. The focus of this position is on R&D data science, process & application simulation, and cheminformatics and material simulations. In this position, you will turn data into knowledge and knowledge into stories with business value. You will use advanced statistical mathematical models, image analysis, machine learning and neural net algorithms combined with strong business acumen and passion for solving material science problems to deliver insight, recommendations, and software-as-a-service (SaaS) solutions that drive development of new formulations and materials.


  • Use your combined knowledge of chemistry, materials, and data science to accelerate innovation at Covestro, helping technical colleagues solve problems, gain knowledge, and delighting them with new digital tools.

  • Develop and co-develop with co-workers new information concepts; help embed new digital skills and unique digital solution capabilities throughout the organization.

  • Meet internal customers' needs for digital tools to analyze complex data sets, to understand structure property relationships through advanced cheminformatics and material simulations, and to enhance process and quality control by delivering deep insight from diverse data streams such as process control historians and laboratory information management systems.

  • Serve internal and external customers with SaaS solutions to enable them to more effectively use Covestro materials in their processes and to rely upon Covestro as their partner of choice.

  • Lead and train new employees, trainees, and colleagues in data science concepts and in the use of digital tools.

  • Communicate developments effectively to clients internally and externally at all levels to confirm understanding of unmet needs and validate value propositions of Digital R&D services.

  • Lead and participate in projects with both regional and global reach.


Minimum Qualifications:

  • BS in Chemistry, Chemical Engineering, Material Science, or related field AND a Graduate degree (MS + 2 years' experience, or PhD) with experience in Artificial Intelligence / Machine Learning / Deep Learning, Statistics, Applied Mathematics or related field

  • Minimum 3 years' experience with R, Python and/or other programming languages such as MatLab, SAS, etc.

Essential Skills:

  • Passion for using data analysis and modeling techniques to solve technical problems in chemistry, engineering or material science

  • Business acumen

  • Great communication and presentations skills (English), ability to tell stories with data

  • Collaborative; demonstrated ability to make fruitful connections across different functions and cultures

  • Experience translating data science-driven solutions into useful tools for internal and external customers.

  • Image analytics / functional data analysis

  • Bayesian statistics and modeling



Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!

Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.

Contact Us

Info-Hotline: +1 844-522-6775

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. To make a request, please call (412) 413-2736.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Customer Transformation Data Scientist Senior Associate


Posted 3 days ago

VIEW JOBS 1/26/2022 12:00:00 AM 2022-04-26T00:00 A career in our Analytics Technology practice will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You'll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: * Use feedback and reflection to develop self awareness, personal strengths and address development areas. * Delegate to others to provide stretch opportunities, coaching them to deliver results. * Demonstrate critical thinking and the ability to bring order to unstructured problems. * Use a broad range of tools and techniques to extract insights from current industry or sector trends. * Review your work and that of others for quality, accuracy and relevance. * Know how and when to use tools available for a given situation and can explain the reasons for this choice. * Seek and embrace opportunities which give exposure to different situations, environments and perspectives. * Use straightforward communication, in a structured way, when influencing and connecting with others. * Able to read situations and modify behavior to build quality relationships. * Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Required Fields of Study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics Additional Educational Requirements: Other quantitative fields of study may be considered Minimum Years of Experience: 3 year(s) Preferred Qualifications: Preferred Knowledge/Skills: Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, emphasizing a combination of some of the following areas: * Performing in development language environments: e.g. Python, Java, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages; * Applying statistical modelling, algorithms, data mining and machine learning algorithms problem solving; * Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources; * Demonstrating familiarity with machine learning architectures used for text analysis and anomaly detection; * Building modularised, configurable and re-usable statistical and predictive models including (but not limited to) natural language processing, decision trees, multi-label classification, regression analysis and neural networks; * Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained; and, * Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, PowerBI and Qlikview. Demonstrates thorough knowledge and/or a proven record of success emphasizing a combination of some of the following areas: * Assisting with the delivery and tracking of large-scale projects; * Demonstrating aptitude for building and implementing predictive models in a highly documented, well presented fashion; * Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in customer transformation; * Supporting engagement leads in the interpretation and presentation of model results and model choice rationale; * Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project; and, * Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s). For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. 256954 Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19. #LI-Remote Pwc Pittsburgh PA

Senior R&D Data Scientist

Covestro AG