Data Scientist

SANDHILLS PUBLISHING; Lincoln (NE); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

4.5-day workweek

Job summary

A leading company in the technology sector seeks a Data Scientist to analyze data and implement AI solutions. The role requires strong analytical and communication skills, along with a relevant degree and proficiency in programming languages such as Python or R. This position offers unique benefits, including a 4.5-day workweek and opportunities for professional growth.

Qualifications

• Strong analytical skills with attention to detail.
• Excellent communication skills, both oral and written.
• Ability to work independently and collaboratively.

Responsibilities

• Analyze data from products and services to enhance markets.
• Develop statistical and machine learning models using AI technologies.
• Collaborate with software developers for implementation of insights.

Skills

Analysis

Machine Learning

Data Mining

Statistical Analysis

Communication

SQL

Python

R

Education

Bachelor's or Master's Degree in Data Science, Mathematics, Statistics, or related quantitative field

Tools

Docker

Jenkins

Spark

Job description

Career & Internships - Technology & Development

DESCRIPTION:
The Data Scientist may be responsible for the following tasks: analyzing data collected from our products and services, developing statistical and machine learning models using state-of-the-art AI technologies, visualizing insights for business actions, and collaborating with software developers to implement these into our products. The role requires applying data analysis, models, and software to enhance our markets and better serve customers. The Data Scientist should have good communication and organization skills, along with knowledge of daily operations within their department and the company. Assume other duties as assigned.
Now offering a 4.5-day workweek!

QUALIFICATIONS:

• Bachelor's or Master's Degree in Data Science, Mathematics, Statistics, or related quantitative field
• Proficiency in Python or R and relevant libraries/packages
• Ability to understand products and customers in the Auction and Heavy Equipment industries
• Knowledge of data models, database design, data mining, and segmentation techniques
• Understanding of Machine Learning and AI frameworks
• Experience with statistical analysis of large datasets using statistical packages
• Strong analytical skills with attention to detail and accuracy
• Experience with SQL, stored procedures, or APIs (preferred)
• Knowledge of Data Ops and Management tools like Docker, Jenkins, Spark
• Ability to generate reports and present findings clearly
• Excellent oral and written communication skills
• Ability to work independently and in a team
• Results-oriented, flexible, and adaptable to change
• Stable work history and professional demeanor
• Valid driver’s license and ability to travel by air and ground
• Ability to work in-office daily; commute required

Note: The job description also mentions other positions such as Software Developer roles, which are unrelated to the Data Scientist role.