Data engineer jobs in Auburn, WA

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. A Packaging Technical Program Manager is responsible for managing the complete packaging lifecycle of Leo customer terminal programs, driving execution of packaging to support product launches and sustaining packaging programs. This role involves managing organizational packaging roadmaps including OP1/OP2 narrative contributions and owning organizational goals as a senior technology program owner accountable for overall strategy and cross-functional team coordination. Key responsibilities include defining the packaging vision and tenets; setting objectives and analyzing data to drive quantified improvements; influencing resource allocation; and creating comprehensive packaging plans with global workback schedules for structural development, testing, and builds (pack outs). The position requires deep understanding of packaging systems, their limitations, scaling factors, and architectural decisions, while coordinating schedule creation with inter-disciplinary teams to ensure packaging structure and artwork development and approval are completed on time, along with providing Bill of Material (BOM) support and managing Print On Demand (POD) labeling design and production. To ensure business and technical stakeholder needs are aligned, you drive mindful discussions that lead to crisp decisions while providing context (past, current, and future) for design direction and long-term perspective. You partner with Industrial Design, customers, and engineering teams to determine a cohesive design language for packaging across the portfolio. You use your technical judgment to question proposals and test assumptions, including whether solutions need to be built at all. You make strategic trade-offs between competing priorities such as time, effort, and feature scope. You create plans with clear, measurable success criteria and clearly communicate progress and outcomes. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities You identify and bridge gaps between teams, processes, and system architectures. You help teams reduce exposure to classic failure modes such as insufficient requirements documentation, ineffective cross-team collaboration, and long-term impacts from third-party technology dependencies. You solve problems and proactively identify and mitigate risks before they become roadblocks. You demonstrate good judgment in how and when to escalate without damaging relationships. You are data-driven, regularly reviewing metrics and proactively seeking new and improved data mechanisms for visibility. You ensure your program stays aligned with organizational objectives. You understand technical program management and engineering best practices, using this knowledge to assess development processes, test plans, and operations/maintenance requirements. You work with teams to improve concurrent project delivery while streamlining or eliminating excess process. You influence teams to decouple from dependencies and eliminate architecture problems that stifle innovation. You are an excellent communicator who writes effective narratives (Amazon 6-pager) and presents them effectively to Directors and VPs. You deliver the right outcomes with limited guidance. When confronted with discordant views, you find the best path forward and build consensus to influence others. You actively recruit and develop others through mentoring and providing constructive feedback A day in the life Every day brings new challenges to Leo. In the morning, you may be working on the technology roadmap for the next five years and in the afternoon diving deep on a technical issue delaying a build. The ability to set priorities using high value judgement is a must in the role as you will have independence on focus on what you deem critical to the organization. About the team Amazon Leo is focused on providing broadband access to underserved customers across the world. We are passionate about accomplishing this mission as quickly as possible without sacrificing quality or performance. We are constantly solving new problems and embrace people who thrive in a startup like environment and have an entrepreneurial mindset. BASIC QUALIFICATIONS- 5+ years of technical product or program management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - 7+ years of relevant work experience in the packaging and/or program management field - BA/BS degree in Packaging, Engineering, UX Program Management, or related studies PREFERRED QUALIFICATIONS- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Experience communicating technical details verbally and in writing - Packaging Engineering, UX Program Management, or direct packaging development experience - 8+ Experience in Aviation, Mobility or Consumer Electronics Program Management - Knowledge or experience in global packaging development and manufacturing. - Experience with label design, label design programs, implementing, utilizing and/or sustaining Print-On-Demand (POD) labeling processes. - Strong interpersonal skills; ability to work closely with people at all levels of the organization to facilitate the implementation of packaging programs including structure, artwork, factory build readiness and escalations. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Responsibilities Provide F-F support and mentoring for site users on Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic, AIP Agent Studio, etc. ad-hoc mentoring sessions with users Regular Office Hours for drop-in sessions (weekly) Regular Lunch n Learn (or similar) sessions (monthly) Coordinate with central teams on onsite training and hackathons Build and run campaign on targeted Palantir Applications to develop deep expertise at site (eg Workshop, AIP) Issue management: responsible for tracking and following up on site-specific Palantir support tickets through to resolution. Site testing: participate in Beta/Early Access testing for centrally developed Palantir Applications (or site applications promoted to central managed). Data quality management and governance: responsible for tracking and following up on Palantir Ontology/Dataset related issues raised at site but not addressed by regular Palantir support ticket. Liaise with central team for data editing permissions and data quality metrics/KPIs. Develop ‘site Palantir skills development plan' for the site; 12 month roadmap of departments/users for targeted skills development campaign. Includes understanding of current platform utilization and agree targets with site LT. R&D - develop documented and re-usable examples of how specific Palantir Applications could be useful for the site with actual data; site users can follow to build their own applications. Experience Expertise in key Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic and AIP Agent Studio. Expertise in the Palantir ecosystem: understanding role of Ontology, Datasets, code repositories and how permissions are managed in the platform. Knowledgeable in best practices for building and scaling applications developed in Palantir Foundry, including code repositories and branching. Useful: programming (Python and/or typescript, SQL) Useful: knowledge of the refining/downstream business Excellent soft skills - working with end-users and teaching small groups on technology

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

Title: Beyond Trust Engineer - PAM Job Type: Temporary Assignment Work Type: Hybrid Duration: 6 Months Payrate: $ 70.00 - 70.00/hr. TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients Who is a fashion specialty retailer founded on a simple idea: offer each customer the best possible service, quality, value, and selection. We are looking for an individual to provide specialized Information Technology support for our strategic business partners within the client Corporate Center. Job Description: As a PAM Platform Engineer on Client's Identity & Access Management team, you'll be a key technical specialist responsible for designing, implementing, and maintaining our enterprise-wide Privileged Access Management infrastructure using BeyondTrust. You'll lead the rollout of BeyondTrust and support ongoing management of our privileged access solutions, including password management, endpoint privilege management, and session management capabilities across our retail technology ecosystem. A day in the life: PAM Platform Leadership: Serve as the primary technical expert for privileged access management solutions, including architecture, deployment, configuration, and optimization of password vaults and endpoint privilege management systems Enterprise PAM Implementation: Design and execute large-scale PAM deployments across Windows, mac OS, and Linux environments, ensuring seamless integration with existing infrastructure Policy Development & Management: Create and maintain privilege elevation policies, credential rotation schedules, access request workflows, and governance rules aligned with security and compliance requirements Integration & Automation: Integrate PAM solutions with ITSM platforms, SIEM tools, vulnerability scanners, directory services, and other security infrastructure to create comprehensive privileged access workflows Troubleshooting & Support: Provide expert-level technical support for PAM platform issues, performance optimization, privileged account onboarding, and user access requests Security & Compliance: Ensure PAM implementations meet PCI DSS, and other requirements through proper audit trails, session recording and monitoring, and privileged account governance Documentation & Training: Develop technical documentation, procedures, and training materials for internal teams and end users Continuous Improvement: Monitor platform performance, evaluate new features, and implement best practices to enhance security posture and operational efficiency Skills: 4-6+ years of hands-on experience implementing and managing enterprise PAM platforms such as CyberArk, BeyondTrust, Delinea (Thycotic) in large-scale environments Vendor certifications in one or more major PAM platforms (CyberArk Certified Delivery Engineer, BeyondTrust Certified Implementation Engineer, Delinea certified professional, etc.) preferred Deep expertise in privileged account discovery, credential management, password rotation, session management, and access request workflows using enterprise PAM solutions Strong understanding of Windows Server administration, Active Directory, Group Policy, and PowerShell scripting Experience with Linux/Unix system administration and shell scripting for cross-platform PAM deployments Knowledge of networking fundamentals including protocols, ports, certificates, load balancing, and security hardening Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) Understanding of identity and access protocols (SAML, OIDC, OAuth, SCIM, LDAP) and their integration with PAM solutions Technical Skills: PAM Platforms: Experience with major vendors (CyberArk Privileged Access Security, BeyondTrust Password Safe/EPM, Delinea Secret Server/Privilege Manager, Ping Identity PingOne Protect) Operating Systems: Windows Server (2016/2019/2022), Windows 10/11, mac OS, RHEL, Ubuntu, SUSE Databases: SQL Server, MySQL, PostgreSQL, Oracle for PAM backend configuration Virtualization: VMware vSphere, Hyper-V, cloud-based virtual machines Scripting: PowerShell, Bash, Python for automation and integration tasks Security Tools: Integration experience with vulnerability scanners, endpoint detection tools, and identity governance platforms Preferred Qualifications: Experience with multiple PAM vendors and platform migration/integration projects Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible) Familiarity with ITSM integration (ServiceNow, Jira) for ticket-driven privileged access workflows Experience with SIEM integration and security monitoring platforms (Splunk, QRadar, etc.) Understanding of zero trust architecture and least privilege access principles Experience with secrets management platforms (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) Previous experience in retail technology environments or large-scale enterprise deployments Industry certifications such as CISSP, CISM, or relevant cloud security certifications. Education: Bachelors or relevant exp. TekWissen Group is an equal opportunity employer supporting workforce Diversity.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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 * 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 * Required Education * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field #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

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on! Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design. JOB REQUIREMENTS Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment. Training in deep learning approaches and natural language processing Advanced proficiency with Python for data analysis Must be fluent in either keras or tensorflow Experience with large data sets (10 million+ rows) Ability to convey rigorous mathematical concepts and considerations to non-experts Experience working in an agile methodology EDUCATION Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Focus America Inc Hello Folks ! We are on an active lookout for Senior Big Data resources for one of our direct clients. Please drop me your updated resumes if you think you are a fit I will call you to help connect you with your dream Job. Java+ Big Data consultant with expertise in AWS Location: Orlando,FL or Seattle, WA Duration: 6 months extendable Interview Process: 3 Skype rounds JD • The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Job Description The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Qualifications The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Additional Information All your information will be kept confidential according to EEO guidelines.

Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do Design, build, and maintain scalable batch data pipelines using SQLMesh (or equivalents such as DBT) for robust, reliable data delivery. Own our OLAP data storage strategy and implement performant solutions for data access. Develop and optimize relational data models to support analytical and operational needs. Implement and monitor data quality strategies to ensure accuracy and consistency of delivered datasets. Build internal platform tooling to streamline pipeline development, deployment, and monitoring. Partner closely with business and analytics teams to gather requirements and translate them into effective pipeline logic. Promote best practices in batch data engineering, data governance, and infrastructure optimizations. What we're looking for Experience designing and implementing batch data pipelines with SQLMesh, DBT, or similar frameworks. Strong skills in SQL and relational data modeling concepts. Proficiency in Python, Java, and/or other languages used for pipeline orchestration and platform tooling. Familiarity with data quality approaches and monitoring in modern data platforms. Collaborative mindset with ability to work closely with business and technical stakeholders to define logic. Excellent problem-solving and communication skills, able to translate complex technical ideas to non-technical audiences. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Ready to join us as we serve those who serve others? #LI-Onsite

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience. As a Senior Data Engineer you will be responsible for enabling efficient and effective data ingestion & delivery systems. Our team collaborates with data producers (application teams) and data consumers/stakeholders (Data Science, Product, Analytics & Reporting teams) to ensure the availability, quality, and accessibility of data through robust pipelines and storage platforms. You will: Explore, analyze, and onboard data sets from data producers to ensure they are ready for processing and consumption. Develop and maintain scalable and efficient data pipelines for data collection, processing (quality checks, de-duplication, etc.), and integration into Data lake and Data warehouse systems. Optimize and monitor data pipeline performance to ensure minimal downtime. Implement data quality control mechanisms to maintain data set integrity. Collaborate with stakeholders for seamless data flow and address issues or needs for improvement. Manage the deployment and automation of pipelines and infrastructure using Terraform, Flyte, and Kubernetes. Support strategic data analysis and operational tasks as needed. Lead end-to-end data pipeline development - from initial data discovery and ingestion to transformation, modeling, and delivery into production-grade data platforms. Integrate and manage data from 3+ distinct sources, designing efficient, reusable frameworks for multi-source data processing and harmonization. What We're Looking For: Demonstrated ability to navigate ambiguous data challenges, ask the right questions, and design effective, scalable solutions. Proficient in designing, building, and maintaining large-scale, reliable data pipeline systems. Competence in designing and handling large-scale data pipeline systems. Advanced SQL skills for querying and processing data. Proficiency in Python, with experience in Spark for data processing. 3+ years of experience in data engineering, including data modeling and ETL pipelines. Familiarity with cloud-based tools and infrastructure management using Terraform and Kubernetes is a plus. Bonus: Experience working with healthcare and clinical data sets Experience with orchestration tools like Flyte Pay Range: $136,000 - $190,400 Other compensation: Bonus Eligible Perks & Benefits: 💻 Hybrid work ✈️ Travel expected 2-3 times per year for company-sponsored events 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: ******************************************* MCG Health is a Seattle, Washington-based company and is considering remote/hybrid candidates with some travel for company-sponsored events. The ideal candidate should be comfortable balancing the independence of remote/hybrid work with the collaborative opportunities offered by periodic in-person engagements. We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. 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. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

Data Engineer IV Job ID: 25-10029 Pay rate range: $85/hour. to $90/hr. on W2 Onsite Must Have AWS Services Programming Language skills (Preferred Python or Scala) Data Technologies REQUIRED SKILLS: * - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions * Experience with Apache Spark / Elastic Map Reduce * Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) * Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets * Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence * Experience working on and delivering end-to-end projects independently Years of Experience: 3+ Degree or Certification: Bachelor's Degree Job Description: Client is looking for a Data Engineer to join the Infrastructure Automation team. Client has over 70 million customers, and developers all over the world rely on our storage, compute, and virtualized services via Client Web Services. Our success depends on our world-class network and hardware infrastructure; we're handling massive scale and rapid integration of emergent technologies. Our goal is to become "The Infrastructure Platform" for the world. The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure. Responsibilities * As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. * You will be developing and supporting the analytic technologies that give our customers timely, flexible, and structured access to their data. * You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards in Oracle BI Enterprise Edition (OBIEE). * You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. Required Skills & Experience * 7+ years of related experience. * Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)). * Should have experience developing complex and a variety of complex reports. * A good candidate has strong analytical skills and enjoys working with large, complex data sets. * Good knowledge of SQL * A good candidate can partner with business owners directly to understand their requirements and provide data that can help them observe patterns and spot anomalies. Preferred Strong OBIEE reporting experience SQL skills * Job details *

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Meta is seeking a highly skilled Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytic solutions. You will have experience with working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization. Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 4+ years of experience (1+ years of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages * 4+ years of experience (1+ years of experience post Ph.D.) working with visualization tools such as Tableau, PowerBI, or similar * 4+ years experience (1+ years of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders * 4+ years of experience (1+ years of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling * Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis * Proven track record of managing and leading cross-functional projects and teams * Solid understanding of machine learning techniques and algorithms * Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling * Proficient in statistical analysis and experimental design Preferred Qualifications * Technical knowledge of data center operations * Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field * Knowledge of simulation and optimization techniques * Communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions Responsibilities * Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency * Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation * Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership * Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations * Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions * Work closely with stakeholders, data engineers, and program/product managers to ensure a seamless progress * Educate and influence stakeholders to enhance operational efficiency with empathy * Recommend process improvements based on operational data and user behavior to boost business performance About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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

Data Engineer II Job ID: 25-12057 Pay rate range - $60/hr. to $65/hr. on W2 100% Onsite Must Have Design and build data reporting solutions across different visualization platforms (e.g. Quicksight) Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc Ability to query, program, and perform analysis on large datasets using SQL languages and Python Job Description: We are seeking an experienced Data Engineer to drive the team's data strategy and vision. The data engineer will be responsible for design and build of the data infrastructure for automated and scalable platforms to support the reporting and forecasting requirements of finance teams. The data engineer will execute projects that build scalable data and visualization frameworks from multiple operational and financial datasets. The Finance team currently has a multi-year roadmap that aim to deliver automated reporting solutions, accelerate predictive forecasting, and interactive analytic tools for our finance analysts. This role requires an individual with excellent data modeling, data architecture design, analytic visualization, and software development skills. A successful candidate will have the flexibility to execute on business intelligence projects while considering optimal and efficient data architecture. The candidate must have the ability to quickly build internal contacts and work across multiple finance, technology, product, and business teams to drive the overall strategy. Key job responsibilities * Architect and develop end to end scalable data applications and data pipelines * Design and build data reporting solutions across different visualization platforms (e.g. Quicksight) * Establish scalable, efficient, automated processes for reporting, dashboards, data analyses and model development * Ability to query, program, and perform analysis on large datasets using SQL languages and Python * Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc. * Collaborate with other teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies * Participate in data strategy and road map exercises, data warehouse design and implementation About Project Build financial systems Transform data feeds Will be creating data feed and transforming them and validating them Daily Schedule 10% meeting with team and getting daily tasks 30% meeting with business teams or project teams on sprints 60% Development and implementing code * Job details *

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience