Data Scientist/Engineer

Posted 22 Hours Ago
Be an Early Applicant
Hwaseong, Gyeonggi-do
Junior
Manufacturing
The Role
In this role, you will build automated data processing pipelines for machine learning and manage various data formats. You'll work with SQL and NoSQL databases, develop neural networks using frameworks like Pytorch and Tensorflow, and benchmark machine learning models for applications in chemistry.
Summary Generated by Built In

At DuPont, we are working on things that matter; whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. 

If you would like to be a part of a premier multi-industrial company that is delivering sustainable solutions that bring real purpose and value, of a company with collaborative spirit because it believes that we work best when we work together as a team and values the diversity of thought, then DuPont is the company for you!

We are excited to share that on May 22, 2024, DuPont announced plans to separate(1) into three industry-leading, independent publicly traded companies. This strategic move will create focused businesses with distinct investment profiles. We believe the proposed separations will create opportunities for all three future companies to better serve their customers and unlock long-term value for stakeholders. This process is expected to take 18-24 months from the date of announcement to complete. We are committed to supporting our employees throughout this transition and ensuring a smooth and successful separation process. We look forward to welcoming new talent who are interested in contributing to the continued success and growth of our evolving organization.

WHY JOIN US?

Our purpose is to empower the world with essential innovations to thrive. We work on things that matter! 

Have the Opportunity to chart your own course, challenge yourself, and acquire new capabilities to build a rewarding and fulfilling career. We reward employees with competitive pay and incentives to recognize skills, competencies, and contributions to business results. 

Get to Experience a collaborative environment where teamwork is celebrated with flexibility that enhances balance and an inclusive atmosphere that is welcoming to all!

Get to know our Purpose and make it yours by bringing innovations to market that improve the world, share a commitment to sustainability that makes our planet better and give back to communities in which we work and live.

    Responsibilities

    • Build automated data pre- and post-processing pipelines necessary for the machine learning research.

    • Handle various data sources (e.g., images, PDF documents, raw text, csv, etc.) and be able to extract, merge, detect, and save targeted information in required formats.

    • Manage internal SQL and NoSQL databases (e.g., MongoDB) and integrate them with internal web applications.

    • Front- and back-end development.

    • Have proficiency in at least one of following programming languages: Python, Java, C, C++, etc.

    • Follow up and benchmark the state-of-the-art machine learning research papers (e.g., generative AI, deep reinforcement learning, diffusion models, etc.).

    • Modify benchmark models and apply them to chemistry domains using internal data and deploy those in-house models.

    • Develop artificial neural networks using machine learning frameworks such as Pytorch, Tensorflow, Keras, JAX, and libraries in JAX ecosystem.

    Qualifications:

    • Materials Science & Engineering, Chemistry, Physics, or a related quantitative field degrees are preferred.

    • Strong fundamentals in chemistry, physics, and materials design. Understanding the first principle (ab initio) calculations.

    • 2+ years of work experience in data science, machine learning model design, novel materials research, materials property prediction, data pipeline implementation, database, front-, and back-end development.

    • Proficiency in Python libraries for data science and data visualization

    • Previous experience in web application, platform development and web servers.

    Employment :

    2 years of fixed term

    Join our Talent Community to stay connected with us!

    DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

    (1)The separation transactions are subject to satisfaction of customary conditions, including final approval by DuPont's Board of Directors, receipt of tax opinion from counsel, the filing and effectiveness of Form 10 registration statements with the U.S. Securities and Exchange Commission, applicable regulatory approvals, and satisfactory completion of financing.  For further discussion of risks, uncertainties and assumptions that could impact the achievement, expected timing and intended benefits of the separation transactions, see DuPont’s announcement.

    Top Skills

    C
    C++
    Java
    Python
    The Company
    HQ: Wilmington, DE
    22,797 Employees
    On-site Workplace

    What We Do

    Beware of recruitment scams! Please read important information for job seekers: https://www.dupont.com/careers/hiring-faqs.html

    It's a time of incredible progress at DuPont — a time of momentum. It's the time for change makers, for the doers and pioneers, to create essential innovations the world needs. We aren’t just creating a better future, we’re working together to invent a better now. So bring your best self and join us in uncovering insights that will transform the world.

    Why wait for a better future? Invent a better now.

    Learn more at dupont.com.

    Please take the time to review our comments policy before commenting on our page. http://dptn.ws/policy

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