Role Description IXL Learning, developer of personalized learning products used by millions of people globally, is seeking a Portuguese Language Tutor to join our Rosetta Stone Language Tutor Team. We all share a passion for building a world in which everyone can speak, read, and write with confidence. As a language coach, you will: - Facilitate small, engaging, and safe online tutoring sessions that help learners produce speech and socialize in their new language. - Motivate thousands of learners and serve as a bridge to help them communicate thoughts and concepts, and connect cultures. - Be self-motivated and take pride in your commitment to our learners and your colleagues. - Thrive in an adaptable work environment and understand time management and priorities. This is a fully remote, part-time position in the United States. Qualifications - Native European Portuguese speaker. - Completion of Bachelor's degree. - Teaching and/or tutoring experience preferred (familiarity with Rosetta Stone platforms desired). - Strong proficiency with technology and online platform experience with web conferencing solutions preferred. Requirements - Proven flexibility in schedule to meet the hours outlined in the overview. - Must be comfortable with technology and have access to broadband Internet from a personal computer (Wired internet connection required). - Exceptional written and verbal communication skills, with the ability to teach grammar concepts. - Exceptional presentation skills. - Excellent interpersonal skills - dynamic, enthusiastic, upbeat individual who connects well with others and has a positive, collaborative attitude. Benefits - Work remotely. - Flexible schedule.

• Leverage causal inference methods or statistically sound analyses to drive actionable insights • Build metrics and measurement frameworks that are statistically and causally robust • Establish strong partnerships with team members and diverse stakeholders across the business • Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs • Proactively explore trends in content discovery to surface future opportunities • Work independently and drive your own projects

• Design, develop, implement, monitor, and maintain valuations related machine learning models • Manage data analysis and modeling projects leveraging appropriate statistical, mathematical or machine learning tools to support business strategies and outcomes • Manage analytic solutions (data, tools reports, models) that advance and accelerate business partner agenda • Generate and synthesize customer and market insights from a wide variety of data systems • Prepare reports of analysis results for business partners and other non-technical audiences • Develop needed databases, data structures, compute patterns and operational processes to extract maximum value from existing and new data assets • Write "production worthy" code and perform code review and necessary testing to ensure that data products meet the highest quality and production standards • Identify opportunities to apply statistical methods to improve business performance, advance new strategies or to solve existing challenges • Work cross-functionally with peers in Technology, product, and business analysts to identify new attributes and applications • Create business intelligence, dashboards, and/or other advanced analytics metrics and reports to adequately communicate the business narrative and offer recommendations that are actionable and have material impact • Provide mentorship and guidance to junior level team members, modeling effective working relationships and solution-building that demonstrates product value.

Role Description We are looking for an experienced Senior Data Scientist to partner with our Membership organization to optimize Oura’s membership business. You will drive membership growth, retention, pricing, and engagement by building data products and models that directly inform membership strategies, offers, and lifecycle programs. Your work will help Oura better understand and optimize for our membership subscription that grows lifetime value, and scales with both enterprise and consumer demand. You will play a key role in shaping our data and AI strategy for membership analytics, collaborating with various teams across Marketing, Finance, and Product organizations. This role is a “full-stack” Data Scientist role, requiring a strong data engineering understanding initially — collaborating closely with engineers to unify subscription data from various business systems — to create an integrated, trustworthy membership data layer. Over time, the role will evolve toward more advanced analytics and ML modeling, such as retention & LTV modeling, and pricing optimizations. This is a remote US role with a strong preference for candidates based in the US Eastern Time Zone. What You Will Do - Build and maintain data pipelines integrating subscription and membership data from source systems to provide a complete view of the member lifecycle and value. - Ensure data quality, lineage, and governance standards for membership data systems. - Build predictive models to understand drivers of member retention, churn, reactivation, and LTV by segment, channel, and cohort. - Lead the design, implementation, and analysis of A/B tests and other experiments across pricing, packaging, and lifecycle communications to quantify impact and inform membership strategy and roadmap decisions. - Partner with Marketing, Finance, and Product teams to design and evaluate offers that improve acquisition efficiency and member retention, and to integrate these learnings into long-term strategic roadmaps. - Build models to optimize membership growth and retention, informing business decisions to strategically optimize financial decisions. - Leverage data engineering and analytical skills to transform data into actionable and reportable insights. - Develop dashboards and reporting tools to visualize membership funnel KPIs, cohort performance, and the impact of product/business changes on member outcomes. Qualifications - 6+ years of experience in data science or analytics, particularly at a subscription/membership business. A graduate degree in a relevant quantitative field is preferred. - Demonstrated success, in partnership with Membership/Subscription, Growth, or Marketing teams, applying data science and ML to optimize subscription funnels, pricing, offers, or lifecycle programs. - Experience with time series forecasting and survival analysis. - Strong SQL and data engineering skills, with experience unifying and transforming data from subscription management services/platforms, and integrating these datasets with other business and product data. - Strong proficiency in Python for building statistical, machine-learning, forecasting, and optimization models. - Experience with data visualization tools (e.g., Tableau, Looker, Power BI, etc) for executive-level financial reporting. - Experience with data development leveraging modern data stack and cloud platforms (e.g. AWS, Databricks, dbt, etc). - Proven ability to partner effectively with Marketing, Growth, and Engineering leaders, moving quickly to translate technical work into strategic insights/decisions. - Proven ability to translate complex analyses into clear, concise narratives and recommendations for senior executives, influencing roadmap and investment decisions. - Strong business acumen with deep understanding of membership metrics and decision-making frameworks. - Experience working with international and distributed teams. Benefits - Competitive salary and equity packages - Health, dental, vision insurance, and mental health resources - An Oura Ring of your own plus employee discounts for friends & family - 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off - Paid sick leave and parental leave - Oura takes a market-based approach to pay, which may vary depending on your location. - Region 1: $172,550 - $203,000 - Region 2: $158,950 - $187,000 - Region 3: $147,900 - $174,000