Role Description We are looking for a Data Science Manager to lead advanced analytics initiatives within a large retail environment. This role is highly technical and focused on digital/product analytics and predictive modeling to identify friction points across the customer journey. The position also requires strong strategic involvement, collaborating closely with stakeholders to define priorities, influence roadmaps, and drive data-informed decision-making. - Lead the design and implementation of predictive models to optimize customer journey and digital product performance - Analyze large-scale datasets to identify user behavior patterns, friction points, and growth opportunities - Partner with product, marketing, and business stakeholders to define data-driven strategies and priorities - Translate business problems into analytical frameworks and actionable insights - Drive roadmap prioritization based on data insights and business impact - Mentor and guide data scientists, fostering best practices in modeling and analytics - Communicate complex analytical findings to non-technical stakeholders in a clear and impactful way - Collaborate with data engineering teams to ensure data availability and quality - Continuously improve experimentation frameworks (A/B testing) and measurement methodologies Qualifications - Strong experience in Data Science, with a focus on product analytics or digital analytics - Proven experience building and deploying predictive models (e.g., churn, propensity, recommendation systems) - Advanced proficiency in Python or R for data analysis and modeling - Solid knowledge of SQL and working with large datasets - Experience with experimentation frameworks (A/B testing) - Strong business acumen and ability to connect data insights with business outcomes - Experience working with cross-functional teams and stakeholders - Leadership or mentoring experience in data teams - Excellent communication and storytelling skills Requirements - Advanced English level required (written and spoken) Benefits - 📚 Learning Opportunities: - Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. - Access to AI learning paths to stay up to date with the latest technologies. - Study plans, courses, and additional certifications tailored to your role. - Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. - English lessons to support your professional communication. - 👩‍🏫 Mentoring and Development: - Career development plans and mentorship programs to help shape your path. - 🎁 Celebrations & Support: - Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. - Company-provided equipment. - ⚖️ Flexible working options to help you strike the right balance. - Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

• Build models and statistical analyses that surface insights about outcomes and performance across Inspiren’s systems • Design and run rigorous evaluations: offline and online experiments (A/B, shadow deploys, etc.) for new models and product changes • Identify, evaluate, and integrate new datasets that expand what we can learn and measure • Lead root-cause investigations when models or systems underperform in the field • Incorporate AI into data science workflows, using LLMs and agentic tooling • Reason how to incorporate multiple modalities and sensor data into algorithmic development and performance measurement

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 .