200+ applicants

Company

Civis Analytics · 2 days ago

Applied Data Scientist II, Analytics Engineer

United States

Full-time

Remote

Entry, Mid Level

$90K/yr - $90K/yr

1+ years exp

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AnalyticsBig Data

No H1B

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Responsibilities

An Applied Data Scientist is responsible for the end-to-end execution of client engagements, which often includes:

Data modeling and transformation: design, build, and maintain robust data models to unify large datasets and to create trusted data objects and workflows

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, solution architects, product teams and 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

Travel requirements: < 5%

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

DbtSQLData visualizationPredictive analyticsMachine learningStatistical programmingRPythonGit

Required

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

Preferred

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.