Senior Data Scientist

14 hours ago

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Ever.Ag

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Dairy Industry • Livestock Industry • Animal Protein • Meat Industry • Agribusiness SaaS

501 - 1000

Description

• 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. • 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

Requirements

• 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 • 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