Data Scientist I - Data Science & Machine Learning
Data Scientist I - Data Science & Machine Learning
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1 Vacancy
Job Description
We need candidates with exceptional communication skills and can explain their experience in detail. Please beware of over-inflated resumes.
As a Data Scientist for Clients Intelligent Services Group (ISG) you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design scale and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the worlds biggest problems.
Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
Work with high resolution machine and agronomic data in the development and testing of predictive models.
Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data
Define quantify and analyze Key Performance Indicators that define successful customer outcomes.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.
Relevant skills include:
Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.
Demonstrated competency in using data-access technologies such as SQL Spark Databricks BigQuery MongoDB etc.
Experience with Visualization tools such as Tableau PowerBI DataStudio etc.
Experience with Data Modeling techniques such as Normalization data quality and coverage assessment attribute analysis performance management etc.
Experience building machine learning models such as Regression supervised learning unsupervised learning probabilistic inference natural language modeling etc.
Excellent communication skills. Able to effectively lead meetings to document work for reproduction to write persuasively to communicate proof-of-concepts and to effectively take notes.
Additional experience with other languages such as R JavaScript Scala etc.
Examples of professional work such as publications patents a portfolio of relevant project-work etc.
Familiarity with Distributed Datasets
Experienced with a variety of data structures such as time-series geo-tagged text structured and unstructured.
Experience with simulations such as Monte Carlo simulation Gibbs sampling etc.
Experience with model validation measuring model bias measuring model drift etc.
Experience collaborating with stakeholders from disciplines such as Product Sales Finance etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Employment Type
Full-time
