About Roadpass: Roadpass Digital revolutionizes road-based travel and outdoor tourism through innovative products and services. We aim to empower travelers who love exploring the outdoors and are always ready for their next adventure. Our brands include Campendium, Roadtrippers, and Togo RV. Roadpass makes those experiences more accessible and more memorable by making it easier than ever to hit the road. We empower travelers and businesses that understand the outdoors are meant to be explored, that roads are meant to be driven, and that your next adventure is right around the corner. Millions of travelers have discovered the benefits of Roadpass brands and the ability to make it easier to own and maintain recreational vehicles, which help them discover, book, and navigate road trips. Roadtrippers is the #1 road trip planning tool. Roadtrippers helps people discover the world around them in an entirely new way by streamlining discovery, planning, booking, and navigation into an engaging and intuitive process. Campendium is a camping app that helps traveling families, couples, and soloists find an ideal campsite, verified by an entire community of campers. Features include map overlays for cell coverage and public lands so you can always find the perfect campsite. Campendium is free to use and will change how you find a place to call home for the night. We are excited to be named one of the Best Places to Work in 2024 by Purpose Jobs We value our people and are committed to creating a healthy and fun culture for our team. We’re #hiring and looking for talented folks. Let’s talk if you want to join a top tech company! Role Overview: We are seeking a Senior Data Scientist to leverage AI, machine learning, data mining, and creative problem-solving expertise to deliver insight-driven results. In this role, you will collaborate with cross-functional teams to translate advanced analytics into actionable solutions. The ideal candidate is data-curious, detail-oriented, an excellent communicator, and passionate about solving problems. Where You’re Located: Candidates for this role will be based in the United States and work remotely. Requirements Champion a data-driven and customer-focused culture. Solve complex problems using advanced ML, AI, and mathematical modeling and optimization techniques with involvement in the whole lifecycle, including but not limited to pre-processing, feature engineering, problem formulation, algorithmic selection/evaluation, modeling, hyper-parameter tuning, and model deployment. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Mine and analyze data from company databases to optimize and improve product development, marketing techniques, and business strategies. Design, develop, and implement production-level code. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results), and production deployment. Serve as a subject matter expert in data, advanced analytics, and visualization within Roadpass Digital, ensuring accurate interpretation of core business metrics, data models, and reports. Coordinate with different functional teams to implement models and monitor outcomes. Ensure the delivery of high-quality data products. Identify, design, and implement internal process improvements. Contribute to owning our Data Platform’s development, maintenance, and delivery, empowering the organization to use data to drive strategy and decisions effectively. Play an active role in implementing and managing the data flow between third-party data providers (e.g., Segment, etc.) and internal systems that consume that data (e.g., Customer.io). Oversee behavioral event tracking and data flow to/from Segment. Ensure that event data aligns with the spec, is consistent, and accurately represented within data modeling. Accountable for developing and implementing solid QA processes and data governance standards, ensuring the results we deliver to the business are always accurate. Troubleshoot day-to-day errors and issues that arise from the data pipeline, integrations, and reporting. Ensure new product or data initiatives comply with security and privacy policies and/or laws and regulations (e.g., GDPR, CCPA). Education and Experience: 4+ years experience in advanced analytics, machine learning, analytics engineering, or similar highly analytical role. Degree in a quantitative field (e.g., Economics, Statistics, Computer Science, Engineering, Mathematics, Information Systems, Analytics). Strong experience with R or Python. Excellent organization, communication, and presentation skills, with the ability to bring clarity to complexity and communicate customer needs, architectural requirements, and product goals across cross-functional teams. Proven track record leading the development and delivery of advanced, actionable Data Science, Machine Learning / AI products and services, including creating predictive models that serve as a foundation for new product offerings. Ability to translate highly complex processes for non-technical audiences. Team player with proven ability to educate team members. Self-starter who thrives in an entrepreneurial, fast-paced environment with a demonstrated capacity to lead, motivate, and work well with others. Ability to identify and assess key opportunity areas where data science can enhance and improve existing products by increasing the efficiency of processes and accuracy of model/analytical results. Expertise in building, deploying and maintaining machine learning models in production. Advanced SQL knowledge to query data warehouses, including knowledge of CTEs and window functions. Experience supporting and working with cross-functional teams in a dynamic environment. Confident in decision-making and able to explain processes or choices as needed. Demonstrated experience and passion for developing clear and easy-to-understand metrics, creativity with feature engineering, and dashboards/visualizations (e.g., Looker, MixPanel). Knowledge of data visualization best practices and strong data storytelling skills. Experience with cloud data warehouses and platforms (e.g., Snowflake). Strong analytical mind toward breaking down business questions with data answers. Experience overseeing behavioral event tracking and CDP implementations (e.g., Segment). Experience with ELT platforms that rely on the ingestion and transformation of raw data (e.g., dbt) Benefits Flexible Time Off & 16 Company Paid Holidays: We believe this is a partnership and we trust our employees to build their own time-off schedule and encourage our teams to take time for their well-being. Collaborative & Inclusive Culture: Our employees work in small, self-organized and cross-functional teams that determine the best tactics to support the vision and strategy set by leadership. We encourage and welcome all ideas, taking an agile approach to creating an amazing product. Growth Opportunity: Through hands-on learning and development, the opportunities are endless. Focus on Well-Being: We pride ourselves on offering numerous benefit options to best fit the needs of our employees and their families, including domestic partners. Benefits include medical (PPO & HDHP-HSA), dental, vision, flexible spending account, commuter benefit, discount programs, life & disability insurance and accident insurance. We also offer a 401k program with company match and paid parental leave. Live your Passion: We believe in living our mission and vision, as a member of our team our employees enjoy a lifetime subscription to our products. In addition to our Work-Detoured benefit which encourages and reimburses our team to live our brand by enjoying the outdoors. The Roadpass Digital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive and high-performing workplace culture. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
Cross-functional teams Agile feature-engineering Artificial intelligence (AI) window-functions snowflake-cloud-data-platform optimization Communication data-modeling Looker Security data governance Product development data-mining Machine Learning mixpanel Presentation skills common-table-expression Model deployment Software Developer Data Analyst Data Science Python Problem-solving Quality Assurance (QA) Business Strategy R data-visualization modeling growth mindset Decision-making Collaboration SQL Mathematical Modelling Process improvement Analytics ETL Leadership Twilio Segment A/B testing