Data Scientist - Hybrid (Vienna, VA or Pensacola, FL)

As a Data Scientist, you will leverage your analytical expertise to transform member, financial, and organizational data into actionable insights that support mission-critical decision making across the organization. You'll identify opportunities for new products, services, and process optimization through cutting-edge data science techniques. In this role, you'll create descriptive, predictive, and prescriptive models that drive meaningful impact while working with increasing independence and applying your professional judgment.

Responsibilities

• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identify meaningful insights from large data and metadata sources
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or formats that aid effective decision making
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

Qualifications

• 3-5 years of experience in exploratory data analysis
• Basic understanding of business and operating environment
• Strong foundation in statistics
• Experience with programming, data modeling, simulation, and advanced mathematics
• Proficiency in one or more of: SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Experience with model lifecycle execution
• Technical writing ability
• Data storytelling and technical presentation skills
• Research skills
• Strong interpersonal skills
• Working knowledge of procedures, instructions, and validation techniques
• Model development experience
• Excellent communication skills
• Critical thinking abilities
• Collaborative approach and relationship-building skills
• Initiative with sound judgment
• Technical expertise (Big Data Analysis, Coding, Project Management, Technical Writing)
• Problem-solving abilities
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields
• Desired: Master's/PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. EEO IS THE LAW. CC Pace invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.