Title: Data Scientist II, Experimentation Location: Remote, US Job Description: About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are seeking a data scientist with a strong background in experimentation and statistical analysis to help us improve and iterate on our experimentation platform. The successful candidate will play a key role in improving our experiment processes at scale, leveraging their expertise to drive innovation and help make sure that Pinterest users are receiving the most thoroughly data-driven features. With thousands of experiments running concurrently, the magnitude of our operations presents a significant opportunity for impact. If you possess a strategic mindset, proven experience in experimental design and analysis, and a passion for driving results, we invite you to join us in shaping the future of experimentation. What you’ll do:; - Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities. - Make the process of setting up, running and evaluating experiments smoother and more repeatable for our platform users, ensuring that decisions are risk-aware and consistent - Write workflows to make our vast experimentation meta-data able to be leveraged by our team and outside of our team to better understand the experimentation landscape. - Consult with product data science teams to debug, design or improve their experiments and experimentation process. What we’re looking for: - PhD in a relevant field (stats, applied math, biostatistics, etc…) OR 2+ years of hands-on experience working as a data scientist or applied scientist. - Experience working directly on experimentation problems and an awareness of state of the art methodologies. - The ability to write clean, efficient, and scalable code that can be easily maintained and extended by other team members. - Proficiency in software development best practices, including version control systems such as Git, to ensure efficient collaboration, code management, and reproducibility in a data science environment. - Familiarity with workflow management tools such as Apache Airflow to create and schedule data pipelines, allowing for automated and reliable execution of machine learning workflows. In-Office Requirement Statement: - We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. - This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: - This position is not eligible for relocation assistance. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only $114,297—$235,319 USD

Title: Data Scientist II, Infrastructure Location: San Francisco, CA, US; Remote, US - Engineering - Regular Description About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business. We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions. What you’ll do: In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure: - Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems. - Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable. - Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed. - Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes. - Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners. - Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality. - Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability. What we’re looking for: - Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience. - Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets. - Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability. - Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders. - Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations. - Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders. - Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment. - Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations. Relocation Statement: - We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. In-Office Requirement Statement: - This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. - This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $114,297—$235,319 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

• Design, implement, and improve machine learning systems. • Contribute to machine learning applications end to end, i.e. from research to prototype to production. • Work with product managers, designers, and customers to define vision and strategy for a given product.

Title: Director, Data Science Job Description: Company: Norstella Location: Remote, United States Employment Type: Full Time Job ID: R-1969 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, MMIT, Panalgo, Citeline and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, we help our clients: - Assess the market need and competitive landscape - Know precisely which drugs to prioritize in their portfolios - Find out where the launch difficulties will be—before they’re difficulties - Track and improve market access post-launch By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. At Norstella, we don’t just deliver information and insights. We deliver answers you can act on. The Team: Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. The Role: As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical authority and a people-first leader — building talent, shaping culture, and delivering AI-powered solutions that have a direct impact on patient access to life-saving therapies. - Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization - Lead, mentor, and grow a team of data scientists and ML engineers — fostering a culture of excellence, curiosity, and continuous learning - Build and develop talent: recruit top-tier data science professionals, design career development frameworks, and create pathways for growth at all levels - Champion the adoption of GenAI, Agentic AI, and LLM-powered architectures across the organization — defining reference frameworks for tool use, code interpretation, retrieval-augmented generation (RAG), and multi-agent workflows - Collaborate with product leadership to identify, elaborate, and prioritize high-impact projects - Oversee the delivery of AI-enabled microservices in collaboration with content and product engineering teams - Define and evolve engineering standards, best practices, and architectural patterns for scalable, production-grade AI systems - Stay at the cutting edge of AI/ML research; deliver regular presentations to internal stakeholders on emerging trends and their strategic implications - Partner cross-functionally to ensure data science solutions are operationalized effectively and drive measurable business value - All other duties, as assigned. Requirements: - 10+ years of experience developing and deploying AI/ML applications and delivering data-driven solutions at scale - Demonstrated experience leading and managing data science teams, including hiring, performance management, and talent development - Proven track record of building and scaling high-performing teams — including designing leveling frameworks, mentorship programs, and succession planning - Deep hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, and advanced NLP/Deep Learning techniques - Practical experience with LLM application design: prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, tool use, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen) - Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience - Strong command of Python and core data science libraries (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) - Deep understanding of CS fundamentals, computational complexity, and algorithm design - Experience architecting and delivering large-scale distributed systems in an agile environment, including rapid prototyping and iterative development - Excellent communication and stakeholder management skills — able to translate complex technical concepts for executive and non-technical audiences Preferred Qualifications: - PhD in Computer Science with an AI/ML research focus and publications in top-tier venues - Experience in the healthcare or life sciences domain; familiarity with applying AI to pharmaceutical or market access data - Hands-on experience with AWS ML infrastructure: SageMaker, Lambda, S3, Snowflake, and related services - Experience with knowledge graphs, structured reasoning, and hybrid retrieval architectures - Prior experience operating at Director level or equivalent in a fast-paced, data-driven organization Benefits: - Medical and Prescription Drug Benefits - Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA) - Dental & Vision Benefits - Basic Life and AD&D Benefits - 401k Retirement Plan with Company Match - Company Paid Short & Long-Term Disability - Paid Parental Leave - Paid Time Off & Company Holidays Please note- all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa. The expected base salary for this position ranges from $225,000 to $300,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to a base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment.