Staff Data Scientist-Remote

Your Responsibilities

As a Staff Data Scientist for John Deere’s 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 world's biggest problems. As a Staff Data Scientist, you will be responsible for helping to lead and mentor other junior and mid-level scientists. Something such as this will help folks in the marketplace to understand the leveling of the role. You will:

• Project level responsibility over initiatives that involve mining techniques to analyze high resolution machine and agronomic data in the development and testing of production-ready predictive models.
• Lead the establishment and prioritization of relevant Engineering action items needed to ensure data is stored efficiently and can support the required analytics.
• Manage yourself and up to several other employees in an Agile work environment that contains requirement ambiguity, tight deadlines, and competing priorities.
• Work directly with stakeholders to define, quantify, and analyze Key Performance Indicators that define successful customer outcomes for your efforts.

What Skills You Need (Required skills/experiences)

• Mastery of and ability to mentor others in developing production-ready models in Python.
• Solid ability to mentor others in using one or more data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
• Expertise and ability to mentor others in building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
• Demonstrated competency with Visualization tools such as Tableau, PowerBI, DataStudio, etc.
• Demonstrated competency with Data Modeling techniques such as normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
• Professional level communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, present results, and to effectively take notes.

What Makes You Stand Out (Desired skills/experiences)

• Demonstrated experiencing working 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 working with and modeling some of the largest distributed datasets in the world
• Demonstrated ability to work with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
• Demonstrated ability creating simulations such as Monte Carlo simulation, Gibbs sampling, etc.
• Demonstrated ability leading model validation, measuring model bias, measuring model drift, etc.
• Demonstrated ability to collaborate 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.

Education

Ideally you will have a degree or equivalent related work experience in the following:

• Experience equivalent to 10 years in a related field or
• Having a Doctorate degree in a related area of study (e.g., Data Science, Quantitative Sciences, Statistics, Engineering, Mathematics, etc.) and 3 years of relevant work experience or
• Having a Master’s degree in a related area of study and 5 years of relevant work experience or
• Having or a Bachelor’s degree in a related area and 7 years of relevant work experience