Role Description The Firefox Data Science team partners with Product and Engineering to grow usage of our flagship product: Firefox, the privacy-minded web browser. Our work informs prioritization, investment decisions, and the long-term growth strategy across Firefox. This Staff Data Scientist will own the analytical strategy for a major product area: - Identifying the right questions - Defining how success is measured - Driving decisions that shape Firefox’s growth trajectory You will be a strategic partner to product and engineering leadership: - Framing problems - Designing measurement approaches - Translating data into clear recommendations that influence roadmap and resource allocation You will also raise the analytical bar across the team by: - Establishing frameworks - Mentoring other data scientists - Setting standards for how we measure and learn This role requires: - The judgment to know which problems matter most - The technical depth to solve them rigorously - The influence to ensure the work drives action Qualifications - 8+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of shaping product strategy through data - Demonstrated ability to lead complex, cross-functional analytical initiatives from problem framing through stakeholder alignment to decision - Deep expertise in experimentation (A/B testing) and causal inference, with strong judgment about when each method applies and what conclusions they support - Advanced proficiency in SQL and Python for analysis, modeling, and validation - Experience defining and owning product metrics that teams actually use to make decisions - Strong opinions, loosely held: you can take a position on what the data says, advocate for it clearly, and update when the evidence changes - Track record of mentoring or technically leading other data scientists Requirements - Commitment to our values: - Welcoming differences - Being relationship-minded - Practicing responsible participation - Having grit Benefits - Generous performance-based bonus plans to all eligible employees - we share in our success as one team - Rich medical, dental, and vision coverage - Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) - Quarterly all-company wellness days where everyone takes a pause together - Country specific holidays plus a day off for your birthday - One-time home office stipend - Annual professional development budget - Quarterly well-being stipend - Considerable paid parental leave - Employee referral bonus program - Other benefits (life/AD&D, disability, EAP, etc. varies by country)

Hybrid Full Time Intermediate or Experienced $161,000 to $175,000 a year Seattle, Washington, United States About Possible Since our founding, we have redefined how people approach small-dollar loans-delivering over $1 billion in funding to more than 1.5 million customers, issuing over 4 million loans, and saving our customers more than $650 million. At Possible, we're building a new type of consumer finance company; one that helps our customers stay out of debt rather than profit from their staying in it. We are a Public Benefit Corporation with the mission to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations. Join the team that's making our goal a reality. About the job Team Introduction Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling - growing our capacity to support the teams and systems that help Possible move fast and make good decisions. The Role You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure - turning it from a reactive compliance exercise into a proactive utility. Working cross-functionally, you'll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly. What You'll Bring Must-Have - 2-4 years of hands-on experience in data science or analytics - Strong Python and SQL skills for analysis and automation - Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results - including their limitations - to non-technical partners - Strong data visualization skills - A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping Preferred - Background in consumer finance or credit risk - Experience with model governance or model validation - Experience with AI or LLM platforms in an applied context - Track record supporting cross-functional teams with analytical work - Testing or QA mentality - validating that what was built does what it should Nice-to-Have - Experience with dbt or Airflow - Dashboard design and management experience This is a hybrid position with a shared in-office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle. The compensation range for this role is $161,000 to $175,000. In addition to base salary, We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options. Benefits Health Insurance Dental Insurance Vision Insurance 401(k) Matching Paid Time Off (PTO) Paid Holidays Sick Leave Remote Work Life Insurance Parental Leave Bonus Commuting Flexible Schedule Relocation Assistance Commuter Preferred Skills Python SQL With the backing of our venture investors- Union Square Ventures, Canvas Ventures, Euclidean Capital, and Unlock Venture Partners - a dedicated following of hundreds of thousands of customers, and an extraordinary team, we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations, we've baked our dual dedication to building a profitable and socially impactful company into our charter; we only succeed when our customers do too . Give us a shout if you'd like to help us ship financial products that protect consumers from predatory lending practices and promote economic health. Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come. Learn more about us as a Public Benefit Company .

• Develop, enhance, and maintain predictive models (e.g., GLMs, machine learning, ensemble approaches) to support pricing, segmentation, and performance forecasting while balancing regulator considerations. • Apply advanced statistical techniques to identify key drivers of sales, retention, and profitability, and forecast expected outcomes. • Serve as a technical lead on larger, cross-functional initiatives. • Lead scoped projects and drive them independently to completion, escalating questions or blockers appropriately. • Manage a rotating portfolio of multiple active projects, including pricing model builds, research initiatives, and support for regulatory filings. • Lead exploratory data analysis to evaluate relationships between data elements and insurance processes, including pricing, conversion, retention, and risk segmentation. • Perform advanced root cause analysis to investigate data inconsistencies and system issues; collaborate with Data Engineering and Business Units to resolve findings. • Translate complex technical findings into clear, actionable insights for leadership with varying technical backgrounds. • Design, implement, and maintain scalable data pipelines to collect, process, and integrate structured and unstructured data from internal systems and external data sources. • Create and maintain dashboards and reporting solutions (e.g., Power BI) to monitor key metrics such as rate level, risk segmentation, retention, and portfolio performance. • Mentor and develop analytics talent within the team and across the organization. • Stay current on industry trends, emerging technologies, and advancements in data science, analytics, and actuarial science.

Title: Data Scientist Location: United States Job Description: THE OPPORTUNITY The Senior Data Scientist is responsible for leveraging advanced analytics, machine learning, and predictive modeling techniques to extract insights from complex datasets. This role partners with business stakeholders to translate strategic objectives into data-driven solutions, enabling informed decision-making and measurable outcomes. HOW YOU’LL MAKE AN IMPACT - Analyze large, complex datasets to identify patterns, trends, and anomalies that drive business insights - Develop, validate, and deploy predictive models and machine learning solutions - Apply advanced statistical and analytical methods to solve business problems - Design and deliver reports, dashboards, and data visualizations to communicate findings clearly - Collaborate with stakeholders to understand business needs and translate them into analytical approaches - Support the development and maintenance of data pipelines and workflows in cloud-based environments - Ensure data quality, integrity, and adherence to governance standards - Document methodologies, analyses, and recommendations for transparency and reproducibility SKILLS THAT DRIVE SUCCESS - Advanced proficiency in Python for data analysis, machine learning, and model development - Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques - Ability to analyze and interpret large, complex datasets to identify trends and actionable insights - Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to communicate findings effectively - Proficiency in SQL and working with relational and non-relational databases - Experience with data preprocessing, feature engineering, and model validation techniques - Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) and analytics environments - Understanding of data pipelines, ETL processes, and data engineering concepts - Knowledge of data governance, data quality, and best practices for data management - Strong problem-solving and critical thinking skills - Ability to translate business requirements into analytical solutions and technical outputs - Effective communication skills, including the ability to present complex insights to non-technical stakeholders - Experience documenting methodologies, models, and analytical findings for reproducibility and auditability - US Citizen, Secret clearance eligibility WHAT SETS YOU APART - Expert proficiency in Python and advanced analytic technics - Demonstrated experience working with large-scale datasets - Proven ability to build and implement machine learning models - Experience with data visualization and reporting tools - Active Secret clearance WHY YOU’LL LOVE IT - You will be part of a company that is growing quickly and values your voice, ideas, and experience - You will be a key contributor to Iron Bow’s transformational shift in how we deliver value to both customers and employees. - You will have the pleasure of working with passionate professionals in a culture that fosters a workplace where everyone feels respected, supported and empowered to succeed. Compensation and Benefit Information: The salary range for this position is $140,000-$165,000. This range reflects the anticipated base pay for the position and is not a guarantee of final compensation. Actual compensation will be determined based on factors including experience, skills, education, location, contract requirements, and business needs. At Iron Bow, we invest in our people and their success. We offer a comprehensive benefits package that may include medical, dental, and vision coverage, a 401(k) plan, paid time off, and additional wellness and financial benefits. An overview of our benefits is available on our careers page.