Data Scientist

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Bayer

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Pharmaceuticals • Consumer Health • Crop Science • Life Sciences • Research

10,000+

💰 Grant on 2022-11

Description

• Develop predictive agronomic models to address scientific challenges in precision agriculture • Query, munge, manipulate & explore complex agronomic datasets • Evaluate & resolve geospatial and agricultural data quality issues • Build data processing pipelines • Collect & engineer features and apply machine learning, process modeling & statistical modeling techniques • Write research code & libraries with automated tests • Collaborate with cross-functional stakeholders to deliver research findings • Provide coaching & training in agile framework and methodologies • Coordinate sprints, retrospective meetings & stand-ups

Requirements

• Master's in Data Science, Statistics, Applied Mathematics, or closely-related quantitative field • 3 yrs experience in predictive machine learning and statistical models for research applications • Writing code in Python with data science packages, including Pandas • Using Numpy, Matplotlib and/or Seaborn for data analysis & visualization • Using Sklearn & XGboost for machine learning and modeling • Using TensorFlow and/or Keras for deep learning modeling • Conducting exploratory data querying, manipulation & analysis to evaluate data trends • Applying statistical & machine learning techniques on a scalable platform to real-world applications • Working with large, complex datasets using SQL & PySpark • Using version control systems, including Git, to track code history • Joining large & diverse datasets across multiple databases and performing data quality checks • Communicating with technical & non-technical stakeholders at all levels of the organization • Deploying code to a scalable cloud-based platform, including AWS, GoogleCloud and/or Azure