Sr. Data Scientist

Position Summary 

The Sr. Data Scientist, Machine Learning role will work on database design and management, using data pipelines, ETL processes, and data integration. This role will also deliver excellent customer experiences by working directly with clients and customers.     

Key Responsibilities 

• Conduct research and build machine learning (ML) models in new applications areas, estimating the performance gain and building a case for further development  

• Build machine learning components for the Ever.Ag Data Science application platform  

• Help configure and deploy ML models in customer implementations 

• Utilize statistical analysis to identify trends in customer and market data. 

• Define project data requirements, gather and validate information, and apply judgment and statistical tests to devise problem-solving actions. 

• Perform tests to ensure the accuracy of the models 

• Select the right tools and modeling techniques to solve the problem at hand 

• Work with a team of services professionals to deliver high-value products in a SaaS environment 

• Advise customer leadership teams on solutions and assist with decision making. 

• Some travel to customer sites 

Qualifications 

• Bachelor's or higher degree in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics) 

• Typically, 8+ years' experience in building machine learning models for enterprise applications 

• Advanced experience implementing a breadth of different modelling approaches/ techniques in machine learning 

• Advanced experience manipulating and preparing large data sets to support advanced analytics 

• Demonstrated ability to iteratively conceptualize, design and build data-driven analytical models 

• Hands on experience with common analysis tools (SQL and Python). 

• Demonstrable familiarity with code and programming concepts. 

• Familiarity with cloud-based technologies such as AWS, Azure, or Google Cloud Platform.    

• Collaborative, open, and respectful working style 

Competencies for Success 

• Excellent written and verbal communication: Presents oneself clearly and articulately when speaking, assuring that others fully comprehend the intended message; Uses appropriate grammar tailored to the audience    

• Analytical and Critical Thinking: Review and manage data with strong attention to detail; combine facts with likely possibilities; articulate and resolve complex problems    

• Quality Focused: A recognition of the value of doing things the right way; having a high sense of integrity and thoughtfulness in your actions    

• Math Ability: Ability to calculate figures and amounts. Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts of basic algebra and geometry.      

• Reasoning Ability: Ability to think critically and solve problems with a variety of variables in situations where, at times, only limited standardization exists. Ability to define problems, collect data, establish facts, and draw conclusions. Ability to interpret a variety of technical instructions furnished in written, oral, diagram, or schedule form.      

• Action Oriented: A bias for action, when you see a problem, you solve it using your technical savvy and internal resources