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Data Scientist

BASF Corporation
Wyandotte, Michigan, US
Closing date
Jan 15, 2022

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Academic / Research, Consultancy/Private Sector
Conservation science
Salary Type
Employment Type
Full time
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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.


At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world's leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation. We achieve this through our commitment to continuous improvement and operational excellence, which gives us the opportunity to set and deliver on ambitious, long-term goals.

We provide a challenging and rewarding work environment with a strong emphasis on process safety, as well as the safety of our employees and the communities we operate in and are always working to form the best team-especially from within, through an emphasis on lifelong learning and development. This allows for our employees to innovate and generate new ideas, put them into action, and gain insights from them to further advance our collective expertise.

And we are constantly striving to become an even better place to work. BASF has been recognized by Forbes Magazine in 2021 as one of America's Best Large Employers. Come join us on our journey to create solutions for a sustainable future!

Data Scientist for R&D - Wyandotte, MI

Where the Chemistry Happens

We are seeking a professional like you to join our Data Analytics and Machine Learning community and shape the future of digitalization in Research and Development. Our group provides data science consultancy, services, and digital products to our partners across the company, focusing on materials and chemicals R&D. Through this, we drive better and faster decision making, efficient experimentation, and accelerated development.

As a data scientist in our team, you will leverage your experience in data analytics to build predictive models of chemicals and materials to drive innovation and data driven solutions throughout North America. You will liaise with colleagues in our various R&D hubs, and initiate data driven projects, connecting experimental data with statistical methods. These projects will be led and implemented by you, showing your expertise in all steps of the predictive modeling process, including exploratory analysis and data mining, machine learning training, reverse engineering through mathematical optimization, and deployment through web apps. These projects will be implemented in languages such as Python and R on local, HPC, and cloud-based platforms. In addition to these machine learning solutions, statistical consulting will also be a primary responsibility, utilizing tools such as statistical inference and design of experiments with software suites such as JMP and Minitab.

An integral part of the team providing statistical services and products is the dissemination of results and approaches to non-statisticians. Therefore, the data scientist is to explain data science solutions to those with limited experience in the field. This will allow for solutions to be sustainable and utilized for years to come.

In this position, you will not only initiate and execute cross-business and/or cross-function consulting projects, but you will also take the initiative to start innovation projects to develop novel scientific solutions for data driven problems. Specific areas of interest are image analysis, active learning, and greybox modeling. This will entail developing methods in-house and with academic and commercial collaborators.

Qualifications - BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent

Formula for Success

    Leveraging your Bachelors Degree with 5 years of experience or your Master's Degree or higher education and experience in science or engineering with a focus on quantitative analytics, machine learning, or statistics (or equivalent qualification), you will provide data science solutions, and evaluate new analytical approaches for the chemicals and materials sectors in BASF.

      Your experience in the chemical (or related) industry, your ability to work both independently and in a team, and your excellent project management and collaboration skills will be essential as you identify potential partners and understand their needs, and initiate, execute, and lead data analytics projects in collaboration with research and business units in diverse high performing teams.

        Your excellent communication and interpersonal skills, along with your proven track record of relevant publications in peer-reviewed journals will serve you well as you establish internal and external relationships, and communicate and disseminate data analytics to a broad community of scientists and managers.

        Create Your Own Chemistry: What We Offer You

        Adding value to our customers begins with adding value to you. You@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you-the whole you-in all stages of your life and career. With you@BASF, you create your own chemistry.

        The total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you'll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.

        BASF provides interesting and challenging learning and development opportunities to help you make the most of your talents and your job.
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