Data Scientist

Location: St. Louis, Missouri | Job type: Contract | Work hours: 9am to 5pm

Responsibilities

• Generates reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts.
• Creates specifications for reports based on business requests.
• Designs, develops, and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
• Analyzes and models data to understand complex business issues and provides insight to decision makers.
• Integrates data from multiple sources to produce requested or required data elements.
• Programs and maintains reports, information dashboards, data generators, canned reports, and other end-user information portals or resources.
• Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.
• Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.
• Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business.
• Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.
• Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated, and managed.
• Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
• Conducts exploratory data analysis from complex data sources and builds key data sets.
• Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.
• Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.

Requirements

• ML/data science knowledge (methodology-agnostic; AI/GenAI experience is a plus but optional).
• Python (non-negotiable—R and other languages are not acceptable substitutes).
• Databricks experience (current platform).

Nice-to-Have

• SQL (needed for data exploration across ingested source systems).

Qualifications

Bachelor’s degree required.

Pay

$60 - $70 per hour

Benefits

• Medical, prescription, dental, and vision insurance.
• AD&D and life insurance.
• Short-term disability.
• 401K plan (all benefits are based on eligibility).