Senior data scientist jobs in San Buenaventura, CA - 46 jobs

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - NY - 7 Hudson Square Date Posted: 2025-08-20

About the role We are looking for a Data Scientist to support analytics and modeling efforts across the business. This role is ideal for someone early in their data science career who is eager to learn, build strong fundamentals, and apply data to real-world business problems in a fast-growing insurtech environment. You will work closely with engineers, department managers, to analyze data, build models, and help translate insights into actionable recommendations. What you'll do Assist in building, testing, and maintaining statistical and machine learning models under guidance from senior team members Analyze structured datasets to identify trends, anomalies, and opportunities across customer and insurance data Write clean, well-documented SQL queries and Python (or R) code for analysis and reporting Support A/B tests, experiments, and performance analyses Create dashboards, reports, and visualizations to communicate findings to stakeholders Help ensure data accuracy and consistency by performing data validation and quality checks Document assumptions, methodologies, and results for transparency and knowledge sharing • • Collaborate with cross-functional teams to understand business needs and translate them into data questions Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science 0-2 years of professional experience in data science, analytics, or a related role Working knowledge of Python or R for data analysis Excellent SQL skills Understanding of fundamental statistics and introductory machine learning concepts Strong curiosity, problem-solving skills, and willingness to learn Ability to clearly communicate insights with guidance and feedback Preferred Qualifications Experience in insurance, fintech, SaaS Familiarity with common data science libraries Exposure to data visualization tools such as Tableau, Looker, or Power BI Experience working with cloud data platforms or modern data stacks Projects involving experimentation or predictive modeling

Business Unit: Combination Products Operations - Digital & Data Strategy Employment Type: Contract Duration: 1+ years (with possible extensions) Rate: $52 - $56/hr Posting Date: 1/5/2024. Notes: Only qualified candidates need apply. Onsite 3-4x / week *Must be OK to be onsite weekly and must be local to Thousand Oaks, CA. 3 Key Consulting is hiring! We are recruiting a Data Engineer for a consulting engagement with our direct client, a leading global biotechnology company. Job Description: The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way our client manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance. Top Must Have Skill Sets: Simulation, modeling, and data analysis experience Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations Day to Day Responsibilities: The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling. This may include, but is not limited to, the following: Applying engineering principles to develop in-silico models for combination products Developing, enhancing, automating, and managing analytics and data-driven models Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements Demonstrating modeling and visualization approaches as part of proof-of-concept projects Transforming ambiguous business and technical questions into measurable and impactful projects Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products. Basic Qualifications: Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience OR High school diploma / GED and 12 years of experience Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations Familiar with utilizing GitLab for version control, code collaboration, and project management Data analysis expertise and statistical or mechanistic modeling experience Experience in deriving technical recommendations and specifications from the analysis of measured data Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls Understanding business needs and developing novel yet practical solutions to meet those needs Experience with combination products and device regulatory requirements and medical device development and engineering Preferred Qualifications: Passion for proactively identifying opportunities through creative modeling and data analysis Transform ambiguous business and technical questions into measurable and impactful projects Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning) Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise Ability to manage multiple competing priorities simultaneously Ability to work in highly collaborative, cross-functional environments Why is the Position Open? Supplement additional workload on team. Red Flags: Not meeting degree and experience requirements (not meeting basic qualification) No modeling and simulation experience No engineering background Interview Process: One phone and one virtual panel interview. We invite qualified candidates to send your resume to **************************. If you decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our website ******************************* You are also welcome to share this opportunity with anyone you think might be interested in applying for this role. Regards, 3KC Talent Acquisition Team

Data Scientist II (2ppl) STATUS: Contingency - Announcement of Award Imminent SSC: Active Secret Security Clearance (required) SALARY: Please see labor category posted below SUMMARY: The Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD) is part of the larger Naval Sea Systems Command. The NSWC PHD mission is to provide research, development, test and evaluation, and in-service engineering and logistics support to the U.S. Navy, other military services, and government agencies. Its focus areas include combat systems, unmanned systems, surface ship systems, and information systems. LABOR CATEGORIES: All positions require an Active Secret Clearance and experience in DoD Data Scientist II - $105,872.00 Desired Education: Bachelor's degree in a related technical field. Desired Experience: Three (3) years' experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. COMPANY OVERVIEW DEL REY Systems & Technology, Inc. (DEL REY) is a small Veteran-owned defense contractor founded in 1995 and headquartered in San Diego, California. We are an equal opportunity employer and believe in recruiting and developing the very best professionals in the field. Although our corporate office is in California, we have employees supporting our customers from coast-to-coast and many states in-between. For employment consideration, please submit your resume to this posting in MS-Word and let us know the position for which you are applying. DEL REY is proud to offer competitive compensation and a comprehensive benefit package. Employee benefits include both a Traditional 401k and ROTH Retirement Accounts; Medical, Dental, Vision, FSA, Vacation, Sick, Basic Term Life Insurance, Employee Assistance Program and voluntary supplemental insurance. DEL REY complies with applicable Federal civil rights laws and does not discriminate. We welcome all applicants as we are always looking for skilled employees possessing a desire to join and contribute to an employee-focused company committed to sustaining superior customer satisfaction. For employment consideration, please respond to the job board where we have our posting or to our Career Page and reference the position which you are seeking. DISCLAIMER: The information in this job description indicates the general nature of the opportunity. It should not be construed as a complete or final description . *** Time-Sensitive - Apply if interested ***

Career CategoryInformation SystemsJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data ScientistWhat you will do Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science-enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through well-architected context. This role functions as an “AI Context Architect” (titled as a Data Scientist): a semantic architect who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that data + context reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across R&D, Manufacturing, and Commercial Roles & Responsibilities Semantic architecture & AI-first context modeling Define enterprise-grade semantic representations for healthcare/life-sciences concepts and specify how relationships and interactions are represented for AI consumption. Create and maintain semantic schemas / ontologies / knowledge-graph models that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. Establish context engineering standards: how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. Feature engineering & model performance (core emphasis) Lead feature engineering strategy tied directly to model performance, including feature definition, transformations, leakage prevention, stability monitoring, and explainability. Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and context variables that improve model robustness and generalization. Context-aware ML, GenAI, and reinforcement learning-informed approaches Build and evaluate context-aware ML/GenAI solutions, integrating semantic layers with retrieval, tools, and structured outputs. Apply reinforcement learning concepts (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on scalability and production readiness. Retrieval, knowledge, and governance foundations Architect and implement retrieval and memory patterns (RAG, vector stores, knowledge graphs, session memory). Define data quality and semantic quality gates (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. Cross-functional leadership Translate domain needs into semantic + AI roadmaps, aligning stakeholders on definitions, metrics, and tradeoffs. Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. Basic Qualifications: Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Preferred Qualifications: 10-12+ years applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor. Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns. Working knowledge of reinforcement learning concepts and how they apply to ranking, orchestration, personalization, or decision systems (even if not “pure RL” production). Proficiency in Python (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. Exceptional stakeholder management: can drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. Good-to-Have Skills Experience in biotech/pharma and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. Experience with feature stores, ML observability, and robust evaluation tooling. Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. Certifications Cloud/AI certifications (AWS/Azure/GCP) are a plus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team.careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 163,136.00 USD - 214,390.00 USD

Akkodis is seeking a Data Modeler for a Contract with a client in Santa Clarita Valley, CA(Remote). The ideal candidate must have strong expertise in data profiling and data quality analysis to develop accurate dashboards and reports. Rate Range: $60/hour to $64/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Modeler job responsibilities include: * Collaborate with data governance and MDM teams to design and maintain an enterprise data model in 3NF. * Perform data profiling to identify data characteristics, patterns, and quality issues. * Develop and maintain data quality dashboards and reports to monitor and improve data integrity. * Ensure compliance with data standards and governance policies throughout the modeling process. * Work closely with business and technical teams to translate requirements into scalable data models. * Support data integration and migration efforts by providing accurate and optimized data structures. Required Qualifications: * Bachelor's degree in computer science, Information Systems, or a related field (Master's preferred). * 5-7 years of experience in data modeling, data governance, and data quality management. * Strong expertise in designing enterprise data models in 3NF and working with MDM frameworks. * Proven ability to perform data profiling and develop data quality dashboards/reports for large-scale systems. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************. Pay Details: $60.00 to $64.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

PENNYMAC Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U. S. mortgage loans and the management of investments related to the U. S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day The Finance Data Modeler is responsible for providing operational services to the Finance Division through the management of data structures, views, and statistical calculations. Develops data models to meet the Finance Division's reporting needs by staying informed on how data is used for Financial Reporting, Compliance, FP&A, and Treasury Reporting, while working to maintain data integrity by eliminating redundancy. The Finance Data Modeler will: Optimizes the data integrations into Snowflake from upstream systems, internally development applications, and Finance 3rd party applications to produce efficiency in report computing Creates and maintains data structures, statistical calculations and various other reporting requirements in Snowflake Maintains existing reporting views to stay in sync with upstream changes Supports data governance initiatives as it relates to SOX reviews and documentation Understanding of, and ability to comprehend, datasets with an eye toward their usage for different reporting requirements Partners with Applications Development team to find strategic solutions to recurring problems with database performance Implement data partitioning and database tuning to enable data warehouse scalability Work as part of a team and provides on-going support as required for financial close procedures Work on strategic projects, as needed Supports in trouble shooting, performance issues and setting up new databases Setup and maintain documentation and standards Perform other related duties as required and assigned Demonstrate behaviors which are aligned with the organization's desired culture and values What You'll Bring Bachelor's degree in Information System, preferred Experience with database optimization and performance tuning Programming experience with emphasis on designing complex SQL queries and business components Experience in the physical and logical design of database architecture and exposure to building dimensional data models Exposed to SOX audit Excellent written and verbal communication ability Must be highly proficient in Excel and Word Must be a team player with strong attention to detail and able to work independently Proven track record at delivering timely and accurate information in a fast-paced environment Excellent critical thinking, problem solving, mathematical skills and sound judgment Financial Services and, if possible, mortgage industry experience preferred Strong business acumen and ability to interface with executive management Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships We value the hard work and dedication of our employees. In addition to a competitive salary, positions may offer bonus opportunities. To learn more about our benefits visit: ********************* page. link/benefits For residents with state required benefit information, additional information can be found at: ************ pennymac. com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range - Building skills and experience in the role Mid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary $75,000 - $130,000 Work Model OFFICE

Our Mission: Make healthcare #1 in customer service. What We Deliver: Artera, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents (voice and text) for every step of the patient journey. Trusted by 1,000+ provider organizations - including specialty groups, FQHCs, large IDNs and federal agencies - engaging 100 million patients annually. Artera's virtual agents support front desk staff to improve patient access including self-scheduling, intake, forms, billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce, Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice, text and web. A decade of healthcare expertise, powered by AI. Our Impact: Trusted by 1,000+ provider organizations - including specialty groups, FQHCs, large IDNs and federal agencies - engaging 100 million patients annually. Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare's history! Our award-winning culture: Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025, 2026). Artera has also been recognized by Forbes as one of “America's Best Startup Employers,” Newsweek as one of the “World's Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. SUMMARY We are seeking a highly skilled and motivated Staff Data Engineer to join our team at Artera. This role is critical to maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes. Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, while also taking the lead on investigating and implementing solutions to enhance our data infrastructure. RESPONSIBILITES Continuous Enhancement: Maintain and elevate Artera's data infrastructure, ensuring peak performance and dependability. Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. Troubleshooting: Manage the daily operations of the Artera platform, swiftly identifying and resolving data-related challenges. Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level agreements. Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. Proactiveness: Improves stability and performance of architecture for team implementations. Requirements Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree Proven experience with Kubernetes and Cloud infrastructure (AWS preferred) Strong proficiency in Python and SQL for data processing and automation. Expertise in orchestration tools such as Airflow and Docker. Understanding of performance optimization and cost-effectiveness in Snowflake. Ability to work effectively in a collaborative, cross-functional environment. Strong problem-solving skills with a proactive and solution-oriented mindset. Experience with event sourced and microservice architecture Experienced working with asynchronous requests in large scale applications Commitment to testing best practices Experience in Large-scale data architecture Demonstrated ability to build and maintain complex data pipelines and data flows. Bonus Experience Knowledge of DBT & Meltano The compensation for this role will be based on level of experience and the geographic tier in which you are located. This position also comes with equity and a variety of benefits.Security RequirementsThis engineering role contributes to a secure, federally compliant platform. Candidates must be eligible for a government background check and operate within strict code management, access, and documentation standards. Security-conscious development and participation in compliance practices are core to the role. OUR APPROACH TO WORK LOCATIONArtera has hybrid office locations in Santa Barbara, CA, and Philadelphia (Wayne), PA, where team members typically come in three days a week. Specific frequency can vary depending on your team's needs, manager expectations and/or role responsibilities. In addition to our U.S. office locations, we are intentionally building geographically concentrated teams in several key metropolitan areas, which we call our “Hiring Hubs.” We are currently hiring remote candidates located within the following hiring hubs:- Boston Metro Area, MA- Chicago Metro Area, IL- Denver Metro Area, CO- Kansas City Metro Area (KS/MO)- Los Angeles Metro Area, CA- San Francisco / Bay Area, CA- Seattle Metro Area, WA This hub-based model helps us cultivate strong local connections and team cohesion, even in a distributed environment. To be eligible for employment at Artera, candidates must reside in one of our hybrid office cities or one of the designated hiring hubs. Specific roles may call out location preferences when relevant. As our hubs grow, we may establish local offices to further enhance in-person connection and collaboration. While there are no current plans in place, should an office open in your area, we anticipate implementing a hybrid model. Any future attendance expectations would be developed thoughtfully, considering factors like typical commute times and access to public transit, to ensure they are fair and practical for the local team. WORKING AT ARTERA Company benefits - Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more! Career development - Manager development cohorts, employee development funds Generous time off - Company holidays, Winter & Summer break, and flexible time off Employee Resource Groups (ERGs) - We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join. EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENTArtera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics or any other protected status. Artera is committed to providing employees with a work environment free of discrimination and harassment; Artera will not tolerate discrimination or harassment of any kind. Artera provides reasonable accommodations for applicants and employees in compliance with state and federal laws. If you need an accommodation, please reach out to ************. DATA PRIVACYArtera values your privacy. By submitting your application, you consent to the processing of your personal information provided in conjunction with your application. For more information please refer to our Privacy Policy. SECURITY REQUIREMENTSAll employees are responsible for protecting the confidentiality, integrity, and availability of the organization's systems and data, including safeguarding Artera's sensitive information such as, Personal identifiable Information (PII) and Protected Health Information (PHI). Those with specific security or privacy responsibilities must ensure compliance with organizational policies, regulatory requirements, and applicable standards and frameworks by implementing safeguards, monitoring for threats, reporting incidents, and addressing data handling risks or breaches. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company and Vision PlanetArt's vision is to be the leading seller of personalized and make-on-demand products worldwide. We provide consumers with unmatched tools and content and an unparalleled end-to-end customer experience that result in high-quality, meaningful finished products and memorable celebrations of live events. The company's brands include the popular FreePrints and FreePrints Photobooks apps and the industry leading SimplytoImpress card and stationery site, as well as Personal Creations, CafePress and ISeeMe! Visit ***************** to learn more about our brands. We have more than 500 team members across multiple offices, primarily in Calabasas CA, San Diego CA, Woodridge IL, Minneapolis, MN and Pleasanton, CA. We also have team members in two company-owned offices in China, as well as in Europe. Job Overview PlanetArt is looking for a Data Engineer to support the company's Forecasting & Pricing Group. This role is responsible for ETL of data from production systems into data warehouse for Data Science projects. PLEASE NOTE: Candidates much be local to or willing to relocate to the Calabasas area as we operate on a hybrid work model (3 days onsite, 2 remote) What You'll Do Key Responsibilities Creating data pipelines using extract, transform and load processes to streamline and manage data from different sources and make it understandable, accessible and usable. Optimizing database systems for performance and integrating types of databases, warehouses and analytical systems. Implementing algorithms for data transformation and use and machine learning models to make data useful. Partner with cross-functional teams (Data Science, Sales, Finance, Supply Chain, Marketing, Operations) particularly to align forecasts with strategic and operational planning. Identify key risks and opportunities within forecast assumptions and present recommendations to leadership. Monitor deployed forecast model performance, track variances, and continuously refine methodologies. Troubleshooting data-related issues by identifying the main cause and fixing common issues in data pipelines. Design and deliver recurring reports, dashboards, and presentations for senior leadership. Mentor and provide guidance to junior analysts on best practices in analytics. Requirements What You Should Have Skills, Qualifications, and Requirements 3+ years of data engineering experience designing and developing large data pipelines using Apache Kafka, Apache Spark, and workflow management tools (Airflow) required. 2+ years of experience with data warehousing and data lake management including Amazon Redshift, and AWS S3 data lakes required. 2+ years of experience working with cloud-based services like AWS Glue, serverless computing with AWS Lambda, and using Airflow on AWS required. 3+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Amazon S3, Redshift, MySQL, SQLServer), required. 3+ years of experience programming languages (e.g. Python, Pyspark, Spark) required. 2+ years of experience of data visualization with Tableau and PowerBI dashboards and reports required. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Ability to independently perform performance optimization and troubleshooting for data pipelines and ML deployments. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and Atlassian software (Jira, Confluence). What You Can Expect Working Conditions Work is performed in an office environment with low to moderate noise levels. Occasional lifting of up to 20 pounds. Position requires regular, continuous use of computer. Position requires regular sitting and standing. Position requires regular interaction with team members through the following methods: in-person, phone, Zoom, Slack, or email. May require occasional travel. This is a hybrid position; employees are expected to be in the office three days per week (Monday, Tuesday, and Thursday) with the option of working remotely two days (Wednesday and Friday). Benefits The compensation range for this position is $92,000-$100,000 annual salary. PlanetArt offers a comprehensive benefits package, including: Health, Dental, and Vision Insurance Life Insurance Mental Health Benefits Pet Insurance 401(k) with matching

Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - NY - 7 Hudson Square Date Posted: 2025-08-20

**Join Amgen's Mission of Serving Patients** At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. **Principal Data Scientist** **What you will do** Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on **semantic modeling, context engineering, and AI-first data science** -enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through **well-architected context** . This role functions as an **"AI Context Architect"** (titled as a Data Scientist): a **semantic architect** who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that **data + context** reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across **R&D, Manufacturing, and Commercial** **Roles & Responsibilities** **Semantic architecture & AI-first context modeling** + **Define enterprise-grade semantic representations** for healthcare/life-sciences concepts and specify **how relationships and interactions** are represented for AI consumption. + Create and maintain **semantic schemas / ontologies / knowledge-graph models** that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. + Establish **context engineering standards** : how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. **Feature engineering & model performance (core emphasis)** + Lead **feature engineering strategy tied directly to model performance** , including feature definition, transformations, leakage prevention, stability monitoring, and explainability. + Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and **context variables** that improve model robustness and generalization. **Context-aware ML, GenAI, and reinforcement learning-informed approaches** + Build and evaluate **context-aware ML/GenAI solutions** , integrating semantic layers with retrieval, tools, and structured outputs. + Apply **reinforcement learning concepts** (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. + Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on **scalability and production readiness** . **Retrieval, knowledge, and governance foundations** + Architect and implement **retrieval and memory patterns** (RAG, vector stores, knowledge graphs, session memory). + Define **data quality and semantic quality gates** (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. **Cross-functional leadership** + Translate domain needs into **semantic + AI roadmaps** , aligning stakeholders on definitions, metrics, and tradeoffs. + Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. **What we expect of you** We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. **Basic Qualifications:** Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Preferred Qualifications:** + **10-12+ years** applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). + Deep expertise in **semantic modeling** : ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. + Strong understanding of **machine learning fundamentals** and performance drivers, especially **feature engineering** and evaluation rigor. + Practical experience implementing **RAG / retrieval / vector search / knowledge graph** solutions with clear governance patterns. + Working knowledge of **reinforcement learning concepts** and how they apply to ranking, orchestration, personalization, or decision systems (even if not "pure RL" production). + Proficiency in **Python** (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. + Exceptional stakeholder management: can drive alignment on **, relationships, and metrics** , and communicate tradeoffs clearly. **Good-to-Have Skills** + Experience in **biotech/pharma** and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). + Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. + Experience with feature stores, ML observability, and robust evaluation tooling. + Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. **Soft Skills:** + Excellent analytical and troubleshooting skills. + Strong verbal and written communication skills + Ability to work effectively with global, virtual teams + High degree of initiative and self-motivation. + Ability to manage multiple priorities successfully. + Team-oriented, with a focus on achieving team goals. + Ability to learn quickly, be organized and detail oriented. + Strong presentation and public speaking skills. **Certifications** + Cloud/AI certifications (AWS/Azure/GCP) are a plus. **What you can expect of us** As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: + A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts + A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan + Stock-based long-term incentives + Award-winning time-off plans + Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. **Apply now and make a lasting impact with the Amgen team.** **careers.amgen.com** In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. **Application deadline** Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. **Sponsorship** Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ platform, in a highly collaborative environment. ML-based services are embedded inside the entire life cycle of search journey, from query understanding, semantic retrieval, and engagement-based re-ranking of contents. Working closely with our product stakeholders, we are constantly testing new ideas, and bringing the proven ones into fruition, through experimentation. In this role, you will be leading the data operation aspects of our ML services, from data warehousing, building and owning ETL pipelines, and standing up feature stores for low-latency feature access to our ML micro-services. This is a highly collaborative role, where you will be able to own the entire lifecycle of data pipelines, communicate your requirements with upstream DATA teams, bring your data engineering skills and ideas into life by engineering efficient data pipelines, and help supporting the feature requirements by the ML engineers/data scientists. Responsibilities and Duties of the Role: Design, own, and optimize our offline (Spark) and near-line (Kinesis, Kafka) data pipelines. Stand up scalable and performant online feature stores; build SDKs around both customized and provisioned feature stores. Integrate online feature stores with the ML service layer to enable real-time model inference and data serving. Scope data lineage dependencies and participate in cross-team data model design for upstream and downstream systems. Mentor junior data engineers on best practices for testing, validation, and deployment of ETL jobs, including pipeline and feature set versioning, and promoting code from non-prod to prod environments. Required Education, Experience/Skills/Training: Basic Qualifications 7+ years of data engineering experience, with 2+ years of relevant Feature Store experience Experience with design trade-offs for low-latency online feature stores Hands-on experience with sagemaker/Redis or any other equivalent online Feature Stores Experience with large-scale distributed data processing systems, such as Spark, Hadoop, Ray Preferred Qualifications Familiarity with vector databases such as Faiss, Pinecone, Milvus, mongo DB, Qdrant Experience building streaming pipelines using Kafka, Kinesis Required Education Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field The hiring range for this position in Santa Monica, CA is $155,700 - $208,700 per year and in New York City is $163,100 - $218,700 per year and in San Francisco, CA is $170,500 - $228,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Product Engineering Job Posting Primary Business: PE - Streaming Backend Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - NY - 7 Hudson Square Date Posted: 2026-01-21

Our Mission: Make healthcare #1 in customer service. What We Deliver: Artera, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents (voice and text) for every step of the patient journey. Trusted by 1,000+ provider organizations - including specialty groups, FQHCs, large IDNs and federal agencies - engaging 100 million patients annually. Artera's virtual agents support front desk staff to improve patient access including self-scheduling, intake, forms, billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce, Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice, text and web. A decade of healthcare expertise, powered by AI. Our Impact: Trusted by 1,000+ provider organizations - including specialty groups, FQHCs, large IDNs and federal agencies - engaging 100 million patients annually. Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare's history! Our award-winning culture: Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025, 2026). Artera has also been recognized by Forbes as one of “America's Best Startup Employers,” Newsweek as one of the “World's Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. SUMMARY We are seeking a highly skilled and motivated Staff Data Engineer to join our team at Artera. This role is critical to maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes. Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, while also taking the lead on investigating and implementing solutions to enhance our data infrastructure. RESPONSIBILITES Continuous Enhancement: Maintain and elevate Artera's data infrastructure, ensuring peak performance and dependability. Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. Troubleshooting: Manage the daily operations of the Artera platform, swiftly identifying and resolving data-related challenges. Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level agreements. Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. Proactiveness: Improves stability and performance of architecture for team implementations. Requirements Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree Proven experience with Kubernetes and Cloud infrastructure (AWS preferred) Strong proficiency in Python and SQL for data processing and automation. Expertise in orchestration tools such as Airflow and Docker. Understanding of performance optimization and cost-effectiveness in Snowflake. Ability to work effectively in a collaborative, cross-functional environment. Strong problem-solving skills with a proactive and solution-oriented mindset. Experience with event sourced and microservice architecture Experienced working with asynchronous requests in large scale applications Commitment to testing best practices Experience in Large-scale data architecture Demonstrated ability to build and maintain complex data pipelines and data flows. Bonus Experience Knowledge of DBT & Meltano Security RequirementsThis engineering role contributes to a secure, federally compliant platform. Candidates must be eligible for a government background check and operate within strict code management, access, and documentation standards. Security-conscious development and participation in compliance practices are core to the role. OUR APPROACH TO WORK LOCATIONArtera has hybrid office locations in Santa Barbara, CA, and Philadelphia (Wayne), PA, where team members typically come in three days a week. Specific frequency can vary depending on your team's needs, manager expectations and/or role responsibilities. In addition to our U.S. office locations, we are intentionally building geographically concentrated teams in several key metropolitan areas, which we call our “Hiring Hubs.” We are currently hiring remote candidates located within the following hiring hubs:- Boston Metro Area, MA- Chicago Metro Area, IL- Denver Metro Area, CO- Kansas City Metro Area (KS/MO)- Los Angeles Metro Area, CA- San Francisco / Bay Area, CA- Seattle Metro Area, WA This hub-based model helps us cultivate strong local connections and team cohesion, even in a distributed environment. To be eligible for employment at Artera, candidates must reside in one of our hybrid office cities or one of the designated hiring hubs. Specific roles may call out location preferences when relevant. As our hubs grow, we may establish local offices to further enhance in-person connection and collaboration. While there are no current plans in place, should an office open in your area, we anticipate implementing a hybrid model. Any future attendance expectations would be developed thoughtfully, considering factors like typical commute times and access to public transit, to ensure they are fair and practical for the local team. WORKING AT ARTERA Company benefits - Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more! Career development - Manager development cohorts, employee development funds Generous time off - Company holidays, Winter & Summer break, and flexible time off Employee Resource Groups (ERGs) - We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join. EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENTArtera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics or any other protected status. Artera is committed to providing employees with a work environment free of discrimination and harassment; Artera will not tolerate discrimination or harassment of any kind. Artera provides reasonable accommodations for applicants and employees in compliance with state and federal laws. If you need an accommodation, please reach out to ************. DATA PRIVACYArtera values your privacy. By submitting your application, you consent to the processing of your personal information provided in conjunction with your application. For more information please refer to our Privacy Policy. SECURITY REQUIREMENTSAll employees are responsible for protecting the confidentiality, integrity, and availability of the organization's systems and data, including safeguarding Artera's sensitive information such as, Personal identifiable Information (PII) and Protected Health Information (PHI). Those with specific security or privacy responsibilities must ensure compliance with organizational policies, regulatory requirements, and applicable standards and frameworks by implementing safeguards, monitoring for threats, reporting incidents, and addressing data handling risks or breaches.

Job Description Company and Vision PlanetArt's vision is to be the leading seller of personalized and make-on-demand products worldwide. We provide consumers with unmatched tools and content and an unparalleled end-to-end customer experience that result in high-quality, meaningful finished products and memorable celebrations of live events. The company's brands include the popular FreePrints and FreePrints Photobooks apps and the industry leading SimplytoImpress card and stationery site, as well as Personal Creations, CafePress and ISeeMe! Visit ***************** to learn more about our brands. We have more than 500 team members across multiple offices, primarily in Calabasas CA, San Diego CA, Woodridge IL, Minneapolis, MN and Pleasanton, CA. We also have team members in two company-owned offices in China, as well as in Europe. Job Overview PlanetArt is looking for a Data Engineer to support the company's Forecasting & Pricing Group. This role is responsible for ETL of data from production systems into data warehouse for Data Science projects. PLEASE NOTE: Candidates much be local to or willing to relocate to the Calabasas area as we operate on a hybrid work model (3 days onsite, 2 remote) What You'll Do Key Responsibilities Creating data pipelines using extract, transform and load processes to streamline and manage data from different sources and make it understandable, accessible and usable. Optimizing database systems for performance and integrating types of databases, warehouses and analytical systems. Implementing algorithms for data transformation and use and machine learning models to make data useful. Partner with cross-functional teams (Data Science, Sales, Finance, Supply Chain, Marketing, Operations) particularly to align forecasts with strategic and operational planning. Identify key risks and opportunities within forecast assumptions and present recommendations to leadership. Monitor deployed forecast model performance, track variances, and continuously refine methodologies. Troubleshooting data-related issues by identifying the main cause and fixing common issues in data pipelines. Design and deliver recurring reports, dashboards, and presentations for senior leadership. Mentor and provide guidance to junior analysts on best practices in analytics. Requirements What You Should Have Skills, Qualifications, and Requirements 3+ years of data engineering experience designing and developing large data pipelines using Apache Kafka, Apache Spark, and workflow management tools (Airflow) required. 2+ years of experience with data warehousing and data lake management including Amazon Redshift, and AWS S3 data lakes required. 2+ years of experience working with cloud-based services like AWS Glue, serverless computing with AWS Lambda, and using Airflow on AWS required. 3+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Amazon S3, Redshift, MySQL, SQLServer), required. 3+ years of experience programming languages (e.g. Python, Pyspark, Spark) required. 2+ years of experience of data visualization with Tableau and PowerBI dashboards and reports required. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Ability to independently perform performance optimization and troubleshooting for data pipelines and ML deployments. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and Atlassian software (Jira, Confluence). What You Can Expect Working Conditions Work is performed in an office environment with low to moderate noise levels. Occasional lifting of up to 20 pounds. Position requires regular, continuous use of computer. Position requires regular sitting and standing. Position requires regular interaction with team members through the following methods: in-person, phone, Zoom, Slack, or email. May require occasional travel. This is a hybrid position; employees are expected to be in the office three days per week (Monday, Tuesday, and Thursday) with the option of working remotely two days (Wednesday and Friday). Benefits The compensation range for this position is $92,000-$100,000 annual salary. PlanetArt offers a comprehensive benefits package, including: Health, Dental, and Vision Insurance Life Insurance Mental Health Benefits Pet Insurance 401(k) with matching

PENNYMAC Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U. S. mortgage loans and the management of investments related to the U. S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day The Sr Data Platform Engineer - Snowflake Specialist leads the design, optimization, and management of our enterprise data warehouse infrastructure, with a primary focus on advanced Snowflake implementations. This role supports critical business functions through sophisticated data platform development, including data operations and ensuring scalable and performant data solutions across the organization. The Sr Data Platform Engineer - Snowflake Specialist will: Advanced Snowflake Expertise - Architect, optimize, and manage complex Snowflake environments including warehouses, data sharing, streams, tasks, and performance tuning Expert Snowflake Development - Design and implement advanced features including stored procedures, UDFs, dynamic SQL, zero-copy cloning, and time travel capabilities Data Warehouse Architecture - Lead enterprise data modeling, dimensional modeling, and modern data warehouse design patterns in Snowflake Strong proficiency with Python 3, Object-Oriented Programming & Design Patterns for data pipeline development Experience with Python data frameworks (e. g. , Pandas, SQLAlchemy, Apache Airflow) and APIs (FastAPI, Flask) Solid experience with Amazon Web Services (AWS) and serverless technologies for data integration Strong experience with advanced SQL, query optimization, and database performance tuning Experience with REST APIs and data integration patterns Experience with Git and collaborative development workflows Experience with comprehensive testing strategies including unit and integration testing Experience with event-driven architectures and microservices in data contexts Experience with Infrastructure as Code (CloudFormation, CDK, Terraform) Knowledge of DataOps practices (CI/CD for data pipelines, automated testing) Knowledge of Agile, Scrum, Jira methodologies What You'll Bring Degree in Computer Science, Data Engineering, Engineering, or similar technical major 5+ years of software development experience with 3+ years of advanced Snowflake experience Expert-level Snowflake skills including performance optimization, cost management, and enterprise-scale implementations Deep understanding of data warehousing concepts, ETL/ELT patterns, and modern data architecture principles Extensive experience with databases at enterprise scale, including both SQL and NoSQL technologies Demonstrated ability to master advanced data platform technologies suchs as real-time streaming, data orchestration, data governance, security, monitoring, or performance optimization Proven track record of architecting and implementing business-critical data solutions that improve stability, security, performance, and scalability Demonstrated ability to effectively communicate complex data architecture concepts to engineers, product owners, project managers, and business stakeholders Demonstrated experience in multi-team collaboration and agile development practices, particularly in data-focused environments Ability to collaborate across teams and design data systems that address architectural gaps and scalability challenges Preferred: Financial Services and mortgage industry experience, particularly with regulatory reporting and risk management data requirements Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships To learn more about our benefits visit: ********************* page. link/benefits For residents with state required benefit information, additional information can be found at: ************ pennymac. com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range - Building skills and experience in the role Mid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary $90,000 - $150,000 Work Model OFFICE

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data Scientist What you will do Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science-enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through well-architected context. This role functions as an "AI Context Architect" (titled as a Data Scientist): a semantic architect who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that data + context reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across R&D, Manufacturing, and Commercial Roles & Responsibilities Semantic architecture & AI-first context modeling * Define enterprise-grade semantic representations for healthcare/life-sciences concepts and specify how relationships and interactions are represented for AI consumption. * Create and maintain semantic schemas / ontologies / knowledge-graph models that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. * Establish context engineering standards: how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. Feature engineering & model performance (core emphasis) * Lead feature engineering strategy tied directly to model performance, including feature definition, transformations, leakage prevention, stability monitoring, and explainability. * Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and context variables that improve model robustness and generalization. Context-aware ML, GenAI, and reinforcement learning-informed approaches * Build and evaluate context-aware ML/GenAI solutions, integrating semantic layers with retrieval, tools, and structured outputs. * Apply reinforcement learning concepts (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. * Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on scalability and production readiness. Retrieval, knowledge, and governance foundations * Architect and implement retrieval and memory patterns (RAG, vector stores, knowledge graphs, session memory). * Define data quality and semantic quality gates (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. Cross-functional leadership * Translate domain needs into semantic + AI roadmaps, aligning stakeholders on definitions, metrics, and tradeoffs. * Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. Basic Qualifications: Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Preferred Qualifications: * 10-12+ years applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). * Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. * Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor. * Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns. * Working knowledge of reinforcement learning concepts and how they apply to ranking, orchestration, personalization, or decision systems (even if not "pure RL" production). * Proficiency in Python (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. * Exceptional stakeholder management: can drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. Good-to-Have Skills * Experience in biotech/pharma and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). * Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. * Experience with feature stores, ML observability, and robust evaluation tooling. * Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. Soft Skills: * Excellent analytical and troubleshooting skills. * Strong verbal and written communication skills * Ability to work effectively with global, virtual teams * High degree of initiative and self-motivation. * Ability to manage multiple priorities successfully. * Team-oriented, with a focus on achieving team goals. * Ability to learn quickly, be organized and detail oriented. * Strong presentation and public speaking skills. Certifications * Cloud/AI certifications (AWS/Azure/GCP) are a plus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: * A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts * A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan * Stock-based long-term incentives * Award-winning time-off plans * Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 163,136.00 USD - 214,390.00 USD

About Disney Entertainment & ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity (CDI) provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. The Lead Data Engineer partners with business, analytics, and infrastructure teams to design and build data pipelines for Content performance metrics. Responsibilities include sourcing internal and external data, designing table structures, defining ETL strategies, and implementing automated data quality checks. Additionally, this role mentors junior data engineers in pipeline development. Responsibilities Lead the successful design and implementation of complex technical problems. Lead and contribute to the design and growth of our Data Products and Data Warehouses around Content movements and metrics. Use sophisticated analytical thought to exercise judgement and identify innovative solutions. Partner with technical and non-technical colleagues to understand data and reporting requirements, and Collaborate with Data Product Managers, Data Architects and other Data Engineers to design, implement, and deliver successful data solutions Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem. Develop Data Quality checks Develop and maintain ETL routines using ETL and orchestration tools such as Airflow Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity. Basic Qualifications 7+ years of data engineering experience developing large data pipelines. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL Engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications 4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 5+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 3+ years of experience programming languages (e.g. Python, Pyspark), preferred. 3+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark & Airflow a plus. Required Education Bachelor's Degree in Computer Science, Information Systems or related field, or equivalent work experience. Master's Degree a plus. Additional Information #DISNEYTECH #CDI The hiring range for this position in Santa Monica, CA is $152,200 - $204,100 per year, in San Francisco, CA is $166,800 - $223,600 per year, in Seattle, WA is $159,500 - $213,900 per year, and in New York, NY is $159,500 - $213,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Commerce, Data & Identity Job Posting Primary Business: PE - Sports, News & Entertainment, Enablement Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - NY - 7 Hudson Square, USA - WA - 925 4th Ave Date Posted: 2025-11-05