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John Deere · 19 hours ago

Senior Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$107K/yr - $161K/yr

4+ years exp

John Deere is focused on addressing the challenges of a rapidly growing world by investing in technology and people. As a Senior Data Scientist for SaaS Advanced Analytics, you will develop insights and predictive models to support customer-centric strategies and risk evaluations.

ConstructionIndustrial ManufacturingMachinery ManufacturingManufacturing

Comp. & Benefits

No H1B

Responsibilities

Working with data sets and performing appropriate analytical methodology. Provide insights and decision modeling to support customer centric strategies and risk evaluations in line with overall SaaS strategy and goals including those focused on actions and incentives

Apply analytical techniques to dive deep into the SaaS customer journey including cohort and segment analyses as well as customer state views

Create and implement algorithms which manage the data to enable it to be analyzed in an efficient and reproducible manner

Support the identification of the required data sources and work with Data Engineers and/or IT teams to implement methodologies to retrieve and use this data

Qualification

PythonMachine LearningData AnalysisCloud TechnologiesStatistical ProgrammingSoftware Development PrinciplesAnalytical MindCommunicationTeam Player

Required

4 or more years - Familiarity with programming for data analysis; coding proficiency (Python/PySpark preferred) demonstrating strong technical acumen

4 or more years - Robust analytical and problem-solving abilities; application of a variety of data science techniques, both computational and statistically based, including but not limited to machine learning, deep learning, regression, and classification

4 or more years - Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods

2 or more years - Basic knowledge of software development principles and architecture

2 or more years - Knowledge of and experience working with Cloud technologies such as AWS, Databricks, and Spark

Ability to identify and retrieve structured and unstructured data from new, complex, or messy data sources

Team player with a strong sense of self-motivation able to thrive as part of a distributed, highly diverse and primarily remote team that operates in a fast paced, innovative environment using AGILE principles

Strong communication skills, especially around analytical concepts and methods, necessary to enable working directly with end users and business stakeholders across departments and geographies to evaluate the needs of the business

Bachelor's degree or higher in a technical or analytics related discipline, or equivalent work experience in an analytics role demonstrating proficiency in the required skills