• Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet specific domain and business needs • Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions • Optimize and fine-tune large language models (LLMs) and domain-specific variants using proprietary datasets • Evaluate model performance across key metrics and benchmarks • Implement and operationalize LLM-based and retrieval-augmented (RAG) systems • Collaborate with data engineering to ensure scalable, efficient model training, evaluation, and deployment pipelines • Assess and select models that best align with domain-specific requirements and Advarra’s regulated research environment • Partner with clinical and operational experts to translate research and trial challenges into measurable model evaluation frameworks • Conduct model interpretability and bias analyses • Document methodologies and validation results

• Partner with our Games Studio stakeholders (e.g., Games Development, Production, Product Management, Tech Lab, Finance and Strategy teams) on advanced data science and modeling initiatives (e.g., prediction modeling, causal inference, experimentation etc) • Lead the design, analysis, and interpretation of experiments that shape decision-making in game verticals and titles • Advance the audience understanding and product-market-fit for game verticals and titles with data science research • Proactively perform data exploration to discover innovation and testing opportunities • Drive and implement high impact projects end to end • Present your research and insights to key stakeholders • Work with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact to the business • Balance handling ad hoc requests while also driving larger projects forward

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Senior Data Scientist to join our Games DSE team, leading experimentation, statistical modeling, and advanced data science needs. This role will be partnering closely with our Game studio stakeholders to drive data informed decisions by running experiments, building predictive models, conducting statistical analysis and deriving business insights. As a member of this team, you will also play a critical role in presenting insights that shape our decision making and ensure decisions are sound from a statistical perspective. What You Will Do: - Partner with our Games Studio stakeholders (e.g., Games Development, Production, Product Management, Tech Lab, Finance and Strategy teams) on advanced data science and modeling initiatives (e.g., prediction modeling, causal inference, experimentation etc). - Lead the design, analysis, and interpretation of experiments that shape decision-making in game verticals and titles. - Advance the audience understanding and product-market-fit for game verticals and titles with data science research. - Proactively perform data exploration to discover innovation and testing opportunities. - Drive and implement high impact projects end to end. - Present your research and insights to key stakeholders. - Work with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact to the business. - Balance handling ad hoc requests while also driving larger projects forward. Who You Are: - You have at least 2 years of experience working in the Games industry as a Data Scientist. - At least 5 years of experience with a Ph.D. degree in Statistics, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields. - You have outstanding statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling. - You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python. - You have excellent business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems. - You have a strong bias to action, delivering results quickly with iteration instead of waiting for perfection. - You are a fast learner and are comfortable with ambiguous requests. - You have exceptional technical and non-technical communication skills and can manage stakeholder priorities directly. - Willing to mentor junior data scientists on the team to accelerate team growth. - You are proactively learning and adopting AI capabilities to supercharge your workflow. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

New Listings Team Lead Location: Remote, Colombia About Furnished Finder: Furnished Finder is the leading two-sided marketplace for monthly furnished rentals, connecting landlords with renters seeking stays of 30 days or more. Our diverse tenant base includes traveling medical professionals, corporate contractors, digital nomads, relocating families, academics, and more. With a growing network of 300,000+ listings and over 240,000 landlords nationwide, Furnished Finder helps renters find real homes in real communities—without booking fees or hidden costs. In 2025, Newsweek named Furnished Finder one of America’s Best Online Platforms, ranking us #1 in the Real Estate category. Founded in 2014, we continue to redefine flexible housing for the modern renter. Why Join Us: When you join Furnished Finder, you’re joining a leadership team with 70+ years of combined experience across real estate and travel. As we enter our next phase of growth, we’re looking for curious, motivated self-starters who are excited to learn, build, and grow alongside an industry-leading team. With roles based in Austin, TX (our HQ) and remote opportunities available, we’re growing quickly—and we’d love to meet you. Job Overview: The New Listings Team Lead is a front-line leadership role responsible for driving the day-to-day performance of a team of ~8–10 New Listing Sales Specialists. Reporting directly to the New Listings Sales Manager, you serve as the primary coach, accountability partner, and performance driver for your team — translating company sales strategy into consistent rep-level execution. You own your team's conversion metrics from initial contact through close, and you're expected to build reps who hit quota, follow best practices, and continuously improve. You'll work closely with the Sales Manager on pipeline health, outreach optimization, and team development, and you'll serve as the key conduit between leadership direction and frontline execution. Responsibilities: Sales Performance & Conversion - Own your team's quota attainment for listing subscriptions and value-added services (VAS) - Monitor individual and team-level conversion rates across the full funnel: contact → qualified lead → opportunity → close - Identify performance gaps at the rep level and take swift corrective action through coaching, role-plays, and targeted training - Surface pipeline trends, win/loss patterns, and conversion bottlenecks to the Sales Manager with recommended solutions - Ensure team adherence to outreach sequencing, lead qualification criteria, and sales best practices set by the Sales Manager Coaching & Team Development - Conduct regular 1:1s, call reviews, and performance check-ins with each rep on your team - Deliver real-time and structured coaching to improve objection handling, discovery, and close rates - Onboard new hires effectively, ensuring ramp plans are followed and new reps reach productivity targets - Identify individual development needs and implement targeted training plans, role-plays, and certifications - Build a culture of accountability, transparency, and continuous improvement within your team Process & Operational Excellence - Ensure accurate and consistent use of HubSpot CRM — pipeline hygiene, activity logging, and stage progression - Flag workflow or process breakdowns to the Sales Manager and collaborate on solutions - Contribute to the refinement of sales scripts, objection-handling guides, and outreach messaging based on what's working on the front line - Communicate rep-level feedback on lead quality and campaign performance to the Sales Manager for upstream calibration Reporting & Cross-Functional Collaboration - Deliver weekly rep-level performance reporting to the Sales Manager, including conversion metrics, activity trends, and coaching actions taken - Participate in cross-functional syncs with Marketing, Ops, and Customer Success as needed - Relay product and customer feedback gathered from reps to the Sales Manager for roadmap and messaging input - Support smooth post-sale handoffs to Customer Success by ensuring reps follow established handoff protocols Qualifications: Required: - 3+ years of experience in sales, customer acquisition, or a marketplace/subscription environment - 1+ year in a team lead, senior rep, or coaching role with demonstrated impact on team performance - Bilingual (English/Spanish) at B2–C1 level - Proven ability to coach reps to quota attainment and improve individual conversion rates - Hands-on experience with HubSpot CRM — pipeline management, activity tracking, and reporting - Strong analytical mindset: comfortable reading performance data and translating it into coaching actions - Excellent communication, motivation, and accountability skills - Comfortable operating in a remote/distributed team environment Preferred: - High-growth startup, marketplace, or two-sided platform experience - Experience with sales engagement platforms (Outreach, HubSpot Sequences) - Bachelor’s degree in business or related field - Tools & Systems - HubSpot CRM (advanced proficiency required) - Sales engagement/dialing platforms - Dialpad - Microsoft Teams - Call recording and performance analytics tools NOTE: In order to be properly evaluated for this role, please ensure you submit an English version of your resume. Furnished Finder is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.