Applied Data Scientist II, Analytics Engineer
Remote
Civis Analytics
Data solutions that deliver messages to your audiences and turn your data into successful campaigns. Make smarter, faster decisions that drive real results.What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the City of Boston and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
What we are looking for
Civis Analytics is looking for an Applied Data Scientist, Analytics Engineer to join our team and help us solve some of the most challenging and interesting data and analytics problems our customers face. As part of the Applied Data Science (ADS) team, you will act as a consultant and hands-on technical expert, utilizing analytics and data engineering to develop solutions for our customers. This role of Applied Data Scientist, Analytics Engineer will support clients in our public and non-profit sectors and report to an Applied Data Science Lead.
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%
Qualifications
- 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 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.
Who we are
At Civis, we have opportunities for applicants who are newcomers, seasoned professionals, and anywhere in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily and we trust and encourage you to act on your ideas – no matter how big they are. We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo and finding new ways to grow our company and each other.
Why join our team?
- Salary: $90,000 (a cost of living adjustment may be added for qualifying locations)
- 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 vacation time, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, commuter benefits, and pet insurance.
Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact internalrecruiting@civisanalytics.com
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
Tags: Causal inference Computer Science Consulting Data visualization dbt Economics Engineering Git Machine Learning Mathematics Physics Python R SQL Statistics Tableau
Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Parental leave Startup environment Unlimited paid time off
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