Data Scientist
Data Scientist
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1 Vacancy
Job Description
Data Scientist
At FMC the Data Science Engineering and Analytics team powers innovative solutions across the enterprise with roots in our industryleading precision agriculture initiatives. While we continue delivering novel insights that help farmers and customers protect their crops against various pest pressures our team has expanded to develop comprehensive data solutions throughout FMCs operations. As the only global agricultural sciences company focused exclusively on crop protection FMC leverages our data expertise to deliver bestinclass agronomic advice and optimize business processes across the organization. Our team builds and maintains a diverse portfolio of applications and services 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.
Responsibilities:
Build data science solutions 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 (Airflow and Databricks) 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 tradeoffs to meet longterm strategic and shortterm tactical business needs
Qualifications:
MS/Ph.D. in computer science machine learning statistics economics applied mathematics Physicsagronomy/climatologyor other scientific or computational disciplines
4 years of industry experience building advanced analytics models and machine learning products across one or more areas ofPredictive/PrescriptiveAnalytics Natural Language Processing Time Series Forecasting Computer Vision and Image Processing
Applied experience of various machine learning techniques (e.g. Neural Networks Treebased learning Clustering etc.)
Handson 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)
Fluency with at least one of the modern distributed ML frameworks such as TensorFlow PyTorch Keras H2O etc.
Demonstrated expertise in SQL and one or more languages commonly used in data analytics (Python R Scala etc.). Python/R/Scala proficiency is strongly preferred
Experience with packages such as NumPy SciPy pandas scikitlearn dplyr etc.
Passionateabout data driven story telling using visualization tools like Tableau Power BI.
Demonstrated experience building and deploying production ready machine learning models
Comfortable with multitasking 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 customersegmentation/clusteringvoice of customer applicationspersonalizationimagerecognition 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.)
Wellversed 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 leaddataengagementsand driveadoption
Experience analyzing geospatial information and applying geostatistical techniques to remote sensing data
Employment Type
Full-Time
