Applied Data Scientist

1w1 week ago

Civis Analytics

Remote · Contract · $80,000 – $80,000

About this role

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. An Applied Data Scientist handles end-to-end execution of new client engagements utilizing data science. This includes unifying large 1st- and 3rd-party datasets and building predictive models.

Daily work involves deriving clear, actionable, and timely insights from analyses. Data Scientists create client-ready materials and solutions for stakeholders of varying technical experience or familiarity with methods. They collaborate with cross-functional teams of data scientists and software engineers to create and implement solutions where necessary.

In this consultancy environment, professionals creatively identify opportunities in the solution delivery process for scalable applications. They collaborate with other teams to further construct these tools. The role emphasizes working closely with clients on real-world data challenges.

Team members maintain a continuous and independent education of cutting-edge statistical techniques and programming languages. Join a growing tech startup invested in internal promotion and committed to a diverse, equal, and inclusive workplace. The position offers an 8-month contract focused on meaningful problems.

Requirements

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
Must currently live in DC, Florida, Illinois, Maryland, Michigan, North Carolina, New York, Pennsylvania, Texas, Vermont, or Virginia
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with AI tools and LLMs (Claude, ChatGPT, Gemini, etc.)

Responsibilities

Unify large 1st- and 3rd-party datasets and 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 and software engineers to create and implement solutions
Creatively identify opportunities in the solution delivery process for scalable applications
Collaborate with other teams to further construct scalable tools
Maintain a continuous and independent education of cutting-edge statistical techniques and programming languages