Data Scientist

Role overview

Warren CAT is looking for a Data Scientist to turn data into actionable insight that supports strategic business decisions. In this role, you will analyze complex information, uncover patterns and opportunities, and serve as a reliable advisor on data visualization and interpretation for stakeholders and end users. The work is moderately complex, carried out with general supervision, and calls for sound independent judgment.

Key responsibilities

• Partner with cross-functional teams and stakeholders to spot opportunities where data can solve business problems.
• Perform detailed analysis to surface trends, patterns, risks, and opportunities that help guide decisions and create business value.
• Translate findings into clear visuals and recommendations that stakeholders can easily understand and act on.
• Locate relevant data sources, gather both structured and unstructured data, and assemble large datasets for analysis.
• Convert raw information into aggregated tables for front-end consumption.
• Test data for errors, strengthen models, and ensure data is accurate, consistent, and clean.
• Build familiarity with data, information, and application architecture to support informed decision-making.
• Use knowledge of business priorities, marketing objectives, customer groups, decision factors, and hypotheses to define meaningful performance measures.
• Help improve and scale data models, analytical methods, system processes, and data management workflows.
• Advise on ways to automate data collection, improve data quality, and streamline data storage.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related business-focused field from a four-year college or university; alternatively, four additional years of relevant data, analytics, or technical experience may replace the degree requirement along with the required work experience.
• At least 2 years of experience in a data, analytics, technical, or business-related role; candidates with an advanced STEM degree may qualify with up to 2 years of experience in data, analytics, technical, or business-relevant work.
• Working knowledge at entry to intermediate level of BI platforms, data management tools, or SQL-based technologies such as Tableau, NoSQL, TSQL, R, Python, or similar tools.
• Experience handling internal metrics, data, and business intelligence strategy.
• Comfort using analytical tools and instruments.
• Ability to recognize patterns in data.
• Entry to intermediate critical thinking and problem-solving ability.
• Strong presentation, communication, and collaboration skills.
• Entry to intermediate business acumen.

Benefits

• Comprehensive benefits package including health, dental, vision, life, and additional coverage.
• Opportunity to work with a collaborative and enjoyable team culture.

Work environment and other details

The role involves sitting, speaking, and hearing regularly, with occasional standing and walking. The workplace is generally quiet. Reasonable accommodations may be provided to support individuals with disabilities in performing essential duties. Travel may be required up to 10%. The employer notes that the job description may change as business needs evolve. Equal opportunity employment protections apply, including veterans and individuals with disabilities. Federal employment rights information is also provided to applicants.