• Collect, analyze, and interpret large datasets to extract valuable insights • Develop and implement statistical models and algorithms • Perform exploratory data analysis to identify patterns • Build and maintain data pipelines • Develop data visualizations and reports • Collaborate with multidisciplinary teams • Evaluate and select appropriate tools and technologies • Stay up to date with the latest trends

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)