Data Scientist

Department:  Information Technology
Date:  Nov 23, 2022

At FMC, precision agriculture offerings are designed to give farmers and customers novel insights on how to protect their crops against a range of pest pressures.  FMC’s solutions will allow growers to make faster, better and more informed decisions than ever before.   As the only global agricultural sciences company focused exclusively on crop protection, FMC is uniquely positioned to deliver best-in-class agronomic advice.

 

The precision agriculture team at FMC is building a portfolio of new applications and services. 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.

 

This role is located at our corporate headquarters in Philadelphia, PA. We welcome you, your ideas and enthusiasm.

 

Responsibilities:

 

  • Build data science solution to solve complex problems and fuel growth initiatives
  • Work with stakeholders to find workable solutions to our business problems on data. This will require the ability to translate the problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising.
  • Develop data pipelines (mostly in Airflow) for automation, scalability, extensibility, and transparency
  • Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications
  • Participate in discussions to make the right scientific or technical trade-offs to

       meet long-term strategic and short-term tactical business needs

  • Collaborate closely with Machine Learning Engineer to deploy Data Science models to production

 

Qualifications:

 

  • MS/Ph.D. in computer science, machine learning, statistics, applied mathematics,

Physics, agronomy/climatology or other scientific or computational disciplines

  • 2+ years of industry experience building advanced analytics models and machine learning products across one or more areas of Predictive/Prescriptive Analytics, Natural Language Processing, Time Series Forecasting, Computer Vision and Image Processing
  •  Applied experience of various machine learning techniques (e.g., Neural Networks, Tree

       based learning, Clustering etc.)

  •  Hands on experience working on large data sets with expertise in data mining, predictive

       modeling, statistical analysis

  • Experience with distributed systems such as Hadoop/MapReduce, Spark etc. and

     modeling on cloud platforms (AWS/Azure/GCP)

  • 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

  • Experience with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr etc.
  •   Passionate about data driven story telling using visualization tools like Tableau,

       Power BI, Looker etc.

  •  Demonstrated experience building and deploying production ready machine learning

       models

  •  Comfortable with multi-tasking in a fast paced and fun environment

 

Preferred Qualifications:

 

  • Hands on experience working with large data sets (Spark, Hadoop, Hive, Redshift, etc.)
  • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
  • Additional experience in one or more core analytic methods such as predictive modeling,

      customer segmentation/clustering, voice of customer applications, personalization,    

      image recognition, supply chain optimization etc.

  • 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
  • Project management experience managing vendors and system integrators to lead data

      engagements and drive adoption           


Nearest Major Market: Philadelphia