We are looking for a talented and driven Data Scientist to join our team. In this role, you will be a significant and autonomous contributor, delivering end-to-end machine learning solutions and major analytical initiatives that directly drive business value. You will work across model development, experimental design, and data workflows - solving difficult data science problems with pragmatic, scalable solutions that make a real difference to the business.
Role Location: Sandpoint, Idaho
Job Responsibilities- Design, build, and deploy production-grade machine learning models and analytical solutions that are robust, scalable, and maintainable by other data scientists.
- Apply a broad range of statistical methods and ML algorithms, using sound judgment on when - and when not - to use them.
- Write highly performant, well-documented, and reproducible code in Python and SQL.
- Collaborate with product managers, business stakeholders, and engineering teams to clarify requirements, scope analytical work, and deliver on project milestones.
- Make thoughtful trade-offs between model performance and interpretability, complexity and simplicity, and computational cost and accuracy.
- Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability.
- Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment performance evaluations.
- Work to find and address root causes of model performance issues, leaving systems better than you found them.
- Contribute to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs.
- Automate manual reporting tasks and contribute to operational excellence across the team.
- Mentor junior data scientists and actively participate in the hiring and interview process.
Experience/Skills Required- 3+ years of hands-on Data Science experience. A formal degree is not required if you have equivalent knowledge gained from experience.
- Strong proficiency in Python for statistical programming and machine learning development.
- Expertise writing high-performance SQL queries and working with large-scale datasets.
- Solid understanding of a broad range of statistical methods and machine learning algorithms.
- Demonstrated ability to independently deliver end-to-end model development - from problem definition through production deployment.
- Ability to build solutions that are pragmatic, consider business constraints, and can be maintained and extended by others.
- Experience working with data visualization tools and communicating analytical findings clearly to non-technical stakeholders.
- Strong sense of ownership - you document your work thoroughly, validate it rigorously, and ensure quality at every step.
- Collaborative mindset with the ability to work across teams, balance competing requirements, and influence peers constructively.
Bonus- Experience with MLOps practices, model monitoring, or automated reporting pipelines.
- Familiarity with experimental design and A/B testing frameworks.
- Track record of improving team workflows, data documentation practices, or analytical infrastructure.
- Experience mentoring junior data scientists or contributing to onboarding and training programs.
- Experience classifying, storing, and handling data in accordance with data governance policies.
- Experience with distributed computing and big data technologies such as Apache Spark.
- Experience with data visualization tools such as Tableau.
- Experience working with cloud data warehouses such as Amazon Redshift or Google BigQuery.
- Experience working with high volume and high velocity data in a distributed environment.
