R&D Data Scientist

Department:  Research and Development
Date:  Jun 18, 2022

 

FMC Corporation is a global agricultural sciences company dedicated to helping growers produce food, feed, fiber and fuel for an expanding world population while adapting to a changing environment. FMC's innovative crop protection solutions – including biologicals, crop nutrition, digital and precision agriculture – enable growers, crop advisers and turf and pest management professionals to address their toughest challenges economically while protecting the environment. With approximately 6,400 employees at more than 100 sites worldwide, FMC is committed to discovering new herbicide, insecticide and fungicide active ingredients, product formulations and pioneering technologies that are consistently better for the planet.

 

FMC is a globally diverse organization that offers its employees exciting opportunities to work on challenging projects that are important to the achievement of our strategic objectives.  With a corporate culture of innovation, integrity, responsibility and customer intimacy, we foster “The Right Chemistry” in everything we do. We are looking for people to join us in creating, developing, and improving our products, our processes, and our markets. If you are ready to make a difference every day, FMC is ready to talk to you.  Visit FMC to learn more and follow us on LinkedIn and Twitter

FMC has an immediate opening for a motivated R&D Data Scientist at Stine Research Center in Newark, DE and Philadelphia, PA. We are an R&D-based business, dependent upon the introduction of new products to deliver a competitive advantage in the agrochemical industry. You will be part of a team that is adopting the mindset, agility and processes of a technology company while drawing on our 100+ years of experience in agriculture. We welcome you, your ideas, and your enthusiasm.

 

Responsibilities

  • Work with stakeholders to find solutions to data challenges. This will require the ability to translate the problems stated in R&D terms into quantitative approaches that may be implemented across one or more competencies.
  • Participate in discussions to make the right scientific or technical trade-offs to meet long-term strategic and short-term business needs 
  • Collaborate with data engineering and R&D teams to assess and build out models and tools
  • Document and support redesign of existing end to end data flow to support short- and long-term growth objectives and to communicate the potential issues and impact of the approach
  • Reimagine existing data pipelines for automation, scalability, extensibility, and transparency
  • Engage in building tools, libraries, or processes that are used throughout the company.
  • Help develop pipelines for curating and processing multimodal data collected in studies.
  • Help expand the functionalities of our data science platform

 

Requirements

  • MS/Ph.D. in computer science, machine learning, statistics, applied mathematics, agronomy/climatology or other scientific or computational disciplines
  • Hands-on experience (1+ years) working on large data sets with expertise in data mining, predictive modeling, statistical analysis. 
  • Candidates with more years of experience are also encouraged to apply.
  • Strong programming skills including Python and Jupyter Notebooks; ability to demonstrate mastery through work experience or personal projects
  • Experience with cloud platforms
  • Experience with data ingestion pipeline (validation, ETL process, data warehouse)
  • Ability to work well in dynamic and rapidly changing environments
  • Experience with version control (e.g., Git)

 

Additional Qualifications

  • Demonstrated expertise in SQL and one or more languages commonly used in data analytics (Python, R, Java, Scala etc.). Python/R/Scala proficiency is strongly preferred
  • Passionate about data driven story telling using visualization tools like Tableau, Power BI, Looker etc.
  • Hands on experience working with large data sets (Spark, Hadoop, Hive, Redshift, etc.)
  • Experience with Computer vision/Image processing
  • Good understanding of data privacy, GDPR and best practices around data encryption
  • Working knowledge of DevOps model, automated workflows, associated CI/CD components and containers (git, Jenkins, Docker, Kubernetes etc.)
  • Well-versed in articulating business questions and using mathematical techniques to arrive at an answer using available data

 

At FMC, diversity and inclusion are in our DNA. We are proud to be an Equal Opportunity Employer with a commitment to creating an inclusive workplace where all employees can thrive – regardless of race, gender, sex, pregnancy, gender identity and/or expression, sexual orientation, national origin or ancestry, citizenship status, color, age, religion or religious creed, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other basis protected by federal, state or local law. FMC also supports employee participation in company employee resource groups that celebrate the diverse backgrounds of our workforce by providing communities for employees to connect with each other and raise awareness throughout FMC. FMC complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, please contact our Talent Acquisition department


Nearest Major Market: Philadelphia