Data Solutions Developer / Data Scientist II

Role Overview

As a Data Solutions Developer, you will leverage advanced data analytics and low-code development to modernize business processes, enhance operational efficiency, and deliver automated, insight-driven solutions. You will collaborate closely with stakeholders, translate complex requirements into technical solutions, design predictive models, and build applications and automations that support strategic organizational goals.

What You Will Do

Analyze complex datasets, develop data products, perform data acquisition and cleaning, engineer features, build and maintain advanced predictive models, manage the end-to-end model lifecycle, tune models, and apply predictive models to enhance operational and business outcomes.

Why It Might Be a Fit

This role requires strong analytical capability, technical expertise, and the ability to manage sensitive information with professionalism and discretion. You will work with IT, Infrastructure Technology, and Operational Technology teams to align analytics and automation capabilities with enterprise systems.

Requirements

• A degree in a closely related field or combination of education and relevant experience
• A minimum of 3 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas
• A minimum of 3 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
• A minimum of 3 years experience with data science languages such as Python and R
• Self-motivated, detail-oriented professional, ability to multitask a must
• Proficiency with MS Office including Word and Outlook
• Ability to handle confidential information
• Excellent writing and people skills
• Strong math and organizational skills
• Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
• Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
• An attitude and commitment to being an active participant of our employee-owned culture is a must
• In-depth knowledge of machine learning algorithms, statistical models, and data analytics
• Experience completing multiple data science projects

Benefits

• Medical
• Dental
• Vision
• Short and long-term disability
• Life insurance
• Employee assistance program
• Paid time away
• Parental leave
• Paid holidays
• Retirement savings plan with employer match
• Employee referral bonus
• Tuition reimbursement