Applied Data Scientist II, Analytics Engineer

Summary

Join Civis Analytics as an Applied Data Scientist, Analytics Engineer and contribute to solving challenging data and analytics problems for our clients in the public and non-profit sectors. You will work as a consultant and technical expert, developing data-driven solutions. Responsibilities include data modeling, predictive model building, insightful analysis, and creating client-ready materials. This role requires a Bachelor's degree in an analytical field, at least one year of dbt experience, strong SQL skills, and excellent communication abilities. We offer competitive benefits, including unlimited vacation, 401k matching, health benefits, parental leave, and more. The position involves less than 5% travel. We are committed to fostering a diverse and inclusive workplace.

Requirements

• Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
• At least 1 year of experience using dbt in a production environment
• Proven affinity for and experience working with large or messy data sets
• Strong SQL proficiency
• Experience with presentation or data visualization software, such as Google Slides, Microsoft PPT, Tableau, R Shiny, etc
• Familiarity with software development tools and practices (Git, code review, etc.)
• Excellent interpersonal and communication skills
• US work authorization

Responsibilities

• Design, build, and maintain robust data models to unify large datasets and to create trusted data objects and workflows
• Build predictive models
• Derive clear, actionable, and timely insights from analyses
• Create client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods
• Work with cross-functional teams of data scientists, solution architects, product teams and engineers where necessary to create and implement solutions
• Creatively identify opportunities in the solution delivery process for scalable applications, and collaborate with other teams to further construct these tools
• Maintain a continuous and independent education of cutting-edge statistical techniques and programming languages

Preferred Qualifications

• Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
• Experience with statistical programming languages (R, Python, etc.) and an understanding of how to apply statistical concepts
• All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review

Benefits

• Salary: $90,000 (a cost of living adjustment may be added for qualifying locations)
• Competitive benefits, including unlimited vacation time
• 401K match with immediate vesting
• Health, dental, and vision benefits
• Fully paid parental leave
• Commuter benefits
• Pet insurance