Data Scientist

Description

• Analyze data collected in current and future products and services.
• Develop statistical and machine learning models using state-of-the-art Machine Learning and AI technologies.
• Visualize insights for business actions and collaborate with Software Developers to implement into products and services.
• Apply data analysis, models, and software to markets our products serve to better serve customers.

Qualifications

• Completed Post Secondary Degree in Data Science, Mathematics, or Statistics (preferred), or any other quantitative discipline.
• Strong proficiencies in Python or R, and various libraries/packages.
• Ability to gain knowledge of Auction and Heavy Equipment industries’ products and customers.
• Technical understanding of data models, database design and development, data mining, and segmentation techniques.
• General understanding of Machine Learning and AI tools and frameworks.
• Knowledge of statistics and experience using statistical packages for analyzing large datasets.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with SQL, stored procedures, or APIs preferred.
• Knowledge of Data Ops and Data Management tools, such as Docker, Jenkins, and Spark.
• Adept at generating reports and presenting findings in an understandable manner.
• Excellent oral and written communication skills.
• Able to work independently and communicate within a team environment.
• Results-oriented.
• Flexible and open to change.
• Stable and progressive work history.
• Professional appearance and demeanor.
• Able to work with minimal supervision.
• In Office Position. 4.5 day regular work week.
• Ability to commute daily to local office is required.