Data Scientist at Outside Magazine

Outside Interactive, Inc., the premier hub for active lifestyle enthusiasts, offers best-in-class content and experiences to more than 70 million of the world’s most passionate outdoor, wellness, and endurance enthusiasts every month.  We inspire a broad and diverse audience to do the activities they love with great enjoyment, inspiration, and knowledge and are dedicated to making real change in the outdoor and fitness industries.  Day after day, story after story, Outside Interactive, Inc., proves that a hike, a climb, a run, a ride, a day skiing, or a yoga practice can change lives - and change the world.
We are looking for a savvy data expert who will craft the data vision for Gaia GPS and help build the future of outdoor maps. The hire will be responsible for expanding and optimizing our data ecosystem to provide insights across the company, working with teams to build ideal architecture, and optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder, wrangler, and analyst who enjoys optimizing data systems and building them from the ground up. The Data Scientist will support every arm of Gaia GPS on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products, data initiatives, and measuring core KPIs. The position will balance the responsibilities of building all data reports/insight for Gaia GPS core metrics while working with larger Outside Inc to blend massive data pipelines.
This job is 100% remote, and the team has been remote for 7+ years.  
Your Impact:
 Lead data voice across Gaia GPS, providing direction for all data-driven efforts.Create and maintain optimal data pipeline architecture using best practices.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.Work with stakeholders including the Executive, Product, Data, Marketing, and Design teams to create data plans for measuring product success, monitoring performance and powering product roadmaps.Extract actionable statements from data.
Your Qualifications:
Advanced working SQL knowledge and experience working with relational databases, query authoring(SQL) as well as working familiarity with a variety of databases.Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.Experience performing root cause analysis on internal and external data and processes to answerspecific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workloadmanagement.A successful history of manipulating, processing and extracting value from large disconnecteddatasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.We are looking for a candidate with 5+ years of experience in an Data Scientist capacity and the followingsoftware/tools:Experience with large-scale distributed analytics platforms and toolingExperience with relational SQLExperience with Amazon Web Services cloud servicesExperience with object-oriented/object function languages: Python, Java, C++, Scala, etc.Experience with Postgres and PostGIS for geospatial analysis a plusExperience building dashboards using tools like Tableau, Mode, or Google Data Studio a plus
Preferred Qualifications:
Minimum 5+ years professional experience.You can work independently to recognize areas where you can contribute your skills as well as responding to the data needs of various departments across the company.You love to deep dive into a problem, utilize tools from different data sources and synthesize your findings in a comprehensive way to provide insight and reveal patterns that will help steer maps and product development.You thrive on collaboration and have a proactive attitude.You have strong project management and organizational skills.You have a passion for maps and want to apply your Data Scientist expertise to help improve Gaia GPS and better enable people to experience the outdoors.
Why you'll love working at Gaia GPS:
We are passionate about outdoor and active lifestyle participants and live the lifestyle ourselves.We are a technological and data-driven business.We are committed to active lifestyle participants and will provide them with the world’s most personalized content that inspires and motivates. them by understanding them better than any platform in the world.We love solving problems, thinking creatively and trying new things.We believe in autonomy and taking initiative.We take what we do seriously. We don’t take ourselves seriously.We have a smart, experienced leadership team that wants to do it right and is open to new ideas.Gaia GPS has a software culture where marketing, support and management folks also code to improve apps and help with the product.You will be proud to say that you work for Outside, Inc./Gaia GPS and will know that the work you do brings joy to our clients everyday.
Entirely remote jobs that could be performed in Colorado: Employees can expect to be paid a salary of  between $90,000 to $115,000.   Additional compensation may include a bonus or commission . Additional benefits include health care, vision, dental, retirement, Flexible Time Away,  sick leave, and more.  This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors