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, 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, modeling, and advanced data science needs. This role will be partnering closely with our product and cloud gaming stakeholders to drive data informed decisions by building ML 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 data science perspective. What You Will Do: - Partner with games product and cloud gaming stakeholders (e.g., Games Product Management team, Games Social team, Controller team) on data science and ML initiatives (e.g., ML modeling, causal inference, experimentation etc) - Lead the design, analysis, and interpretation of experiments that shape decision-making around Social, Controller, and Cloud Gaming at Netflix - Develop ML models to enhance player experience and core technology capabilities to enable new Controller, Cloud Gaming and Social experiences - Proactively perform data exploration to identify opportunities for business impact and innovation - Serve as a strategic thought partner to product managers and engineers, directly influencing product direction and improving user experience - Effectively communicate research and insights to both technical and non-technical stakeholders to influence and drive business impact - Balance handling ad hoc requests while also driving strategic projects forward Who You Are: - At least 5 years of experience with a PhD degree in Statistics, Computer Science, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields - At least 2 years of experience working with engineering teams as a Data Scientist - You have statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling - You have solid skills with applied ML modeling (e.g., deep neural networks) and assessment - You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python or R - You have good 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 communication skills and can manage stakeholder priorities directly - Willing to mentor junior data scientists on the team to accelerate team growth. 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.

• Liderar o desenvolvimento de **modelos avançados de Machine Learning**. • Projetar e implementar **arquiteturas de soluções baseadas em IA e agentes inteligentes**. • Conduzir **experimentos, prototipação e validação de soluções de IA generativa**. • Atuar na **definição técnica de pipelines de dados e MLOps**. • Desenvolver **frameworks ou componentes reutilizáveis para aplicações de IA**. • Trabalhar em parceria com áreas de negócio para **identificação de oportunidades de aplicação de IA**. • Apoiar na **definição de boas práticas e padronização técnica do time**. • Participar da **evolução da stack tecnológica de IA e Machine Learning**.

Labcorp is seeking a US Remote Based Variant Scientist II to join Invitae’s clinical genomics team! Work Schedule: Sunday-Thursday OR Tuesday-Saturday 8am-5pm (local time zone) Job Responsibilities: - Up to 75% of your time performing variant interpretation (aka variant curation) using our validated in-house genetic evidence system to generate clear and concise clinical reports - Critically analyze and interpret clinical and genetic information, including published literature, public and private databases, functional studies and modeling, as well as patient clinical records - Develop, curate, and refine genetic content for a broad range of genetic disorders to support our operations and clinical offerings - Achieve and maintain technical and clinical competency through initial and ongoing training in a fast-paced and dynamic environment - Receive and provide case-related and performance-related feedback in a direct and supportive setting - Other duties as assigned Minimum Qualifications: - Ph.D. in Life Sciences, Genetics, Molecular Genetics or Human Genetics with 6 months or more variant interpretation experience OR Master's degree in Genetic Counseling, biological sciences, molecular genetics, human genetics or a related field with 2 or more years of variant interpretation experience OR Bachelor's degree in Genetics, biological sciences, molecular genetics, human genetics or related field with 3 or more years of variant interpretation experience ​Preferred Qualifications: - 1 or more years’ experience in a CLIA diagnostic laboratory - 1 or more years’ experience with next-generation sequencing, genetic variant curation, and interpretation of clinical relevance - 1 or more years’ experience with advanced methods of copy number detection and copy number variant interpretation - 1 or more years’ experience in one or more of the following areas: oncology, cardiology, neurology, carrier screening, metabolic disorders and pediatric diagnostics, cytogenomics and/or exome analysis Additional Job Standards: - Excellent written, verbal, and interpersonal communication skills - Ability to adapt to significant change that is inherent in development and innovation - Desire to work in and contribute to a fast-paced, highly collaborative environment - Demonstrated ability to understand, synthesize, and coherently evaluate complex genetic information. - A sense of curiosity, strong collaborative spirit, and a willingness to learn Application Window Closes: 4/21/26 **Salary Range: $98,000 - $150,000 / year All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please  click here.  Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

• Work on a mix of client projects and internal research initiatives. • Solve real-world problems and help build meaningful products. • Contribute to groundbreaking AI alignment research. • Build data-driven solutions and leverage machine learning models. • Propose and pursue high-impact research projects, especially those aligned with our mission of increasing agency.