Associate Data Scientist

Location: Remote to AR, AZ, CA, CO, FL, GA, IL, MA, MD, MN, MO, NC, NM, NV, NY, OR, PA, TN, TX, UT, or WA

FLSA Status: Exempt/Salary

Position Status: Full-Time

Work Schedule: Monday - Friday 8am - 5pm (Pacific) - subject to change based on project assignments/deadlines and location (i.e., time zone)

Base Salary Range: $85,000 - $95,000 (commensurate with experience)

Travel: Up to 5% of the time

The Associate Data Scientist will play a key role in developing data-driven solutions that support strategic decision-making and operational efficiency. This position is ideal for someone with a strong foundation in statistics, machine learning, and data science, who is eager to apply these skills in a collaborative, fast-paced environment.

The role involves working with structured and unstructured data to build predictive models, automate analytical workflows, and extract insights using techniques such as natural language processing, classification, regression, and clustering. The ideal candidate will be comfortable coding in Python, C#, or Power Shell, and working with databases like Microsoft SQL Server. Curiosity, adaptability, and a passion for solving complex problems with data are essential.

• Contribute to the ongoing development and enhancement of our data science platform, including tools for predictive modeling, automation, and machine learning.
• Build internal applications and processes that support statistical analysis, natural language processing, and data-driven decision-making across departments.
• Develop and maintain data pipelines that support modeling and reporting, leveraging data from our business intelligence systems and external sources.
• AI/LLM usage, distillation, and ablation to support corporate AI systems and productivity
• Regular worksite attendance in accordance with Company’s Attendance Policy is required for this position.
• Other duties as assigned:
  • Periodic special projects and duties may be assigned based on Company need and requirements.
  • Must be able to perform a variety of duties, often changing from one task to another, with frequent interruptions or distractions and within tight deadlines.

• Bachelor’s degree in computer science, Data Analytics, Data Science, Mathematics, or similar from an accredited college or university is required.
• Equivalent work experience, internships, or projects may be substituted for educational requirements.
• 2+ years of on-the-job experience in data analytics and/or data science preferred or an advanced degree equivalent.

• Proficient usage of Microsoft SQL Server for data extraction and transformation.
• Proficient usage of Python for machine learning, statistical modeling, and automation.
• Familiarity with IDE tools and markdown-based text editors (e.g., Visual Studio, VS Code, Notepad++, Vim, or Emacs).
• Solid understanding of data analysis, feature engineering, and model evaluation techniques.
• Proficient with version control systems such as Git.
• Excellent computer skills, including CLI/Shell interface use, GUI navigation, and keyboard shortcuts.
• Awareness of data integrity, security, and safe programming practices.
• Proficient in Microsoft Office Suite—Word, Excel, and Outlook—with advanced Excel skills.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Highly organized and detail-oriented, with the ability to manage multiple projects and deadlines.
• Collaborative team player who thrives in cross-functional environments.
• Proactive, self-starter with a goal-oriented mindset and the ability to work independently.
• Ability to communicate effectively while exercising diplomacy, sound judgment, and tact.
• Ability to work effectively with…