Applied Data Scientist

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions. The summary above was generated by AI

Please note that candidates must currently live in the following states: DC, Florida, Illinois, Maryland, Michigan, North Carolina, New York, Pennsylvania, Texas, Vermont. Virginia

The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with clients to help solve their toughest challenges with data science.

Responsibilities

• An Applied Data Scientist is responsible for the end-to-end execution of new client engagements utilizing data science, which includes:

• Unifying large 1st- and 3rd-party datasets and building predictive models

• Deriving clear, actionable, and timely insights from analyses

• Creating client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods

• Working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions

Other job responsibilities of an Applied Data Scientist include:

• Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
• Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages

• Bachelor's degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
• Proven affinity for and experience working with large or messy data sets using SQL
• Experience with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
• Experience with presentation or data visualization software, such as Powerpoint, Tableau, Shiny, Streamlit, etc.
• Excellent interpersonal and communication skills
• US work authorization

Preferred Qualifications

• Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
• Experience with marketing modeling and analytics (e.g., LTV, Lift)
• Familiarity with software development tools and practices (Git, code review, etc.)
• Familiarity with dbt
• Familiarity with AI tools and LLMs (Claude, ChatGPT, Gemini, etc.)

• Salary: $80,000 annually
• The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
• Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, commuter benefits, and wellness initiatives.