Data Engineer jobs at Publicis Sapient

Given the fast growth of TikTok in the world, we are aiming to build an industry leading ads measurement product. The Lift Measurement team's goal is to help marketers realize their true business value generated by TikTok across all of their paid channels. In order to achieve this goal, the Lift Measurement team is building a suite of incrementally measurement products. We are seeking an experienced data scientist to focus on building digital ad measurement products by applying experimental design and causal inference approaches to help advertisers measure their true business value on the TikTok platform. Responsibilities * Design and analyze lift experiments to drive product improvements with cross-functional teams * Conduct research and analysis to improve the lift experimentation platform using experimental design and causal inference methods * Identify opportunities to build new or enhance ad measurement products * Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions * Build cross-functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product roadmaps Minimum Qualifications: * 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, BioStatistics, Political Science, Economics, Quantitative Social Sciences, Computer Science, Mathematics, Physics) or equivalent practical experience * Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference * Proven experience in querying and analyzing large datasets using SQL/Hive, and proficient in scripting languages like Python/R Preferred Qualifications: * Strong analytical and strategic thinking with demonstrated product sense and leadership in working environment * Able to work independently in an innovative and fast-paced environment * Knowledge or experience in digital advertising measurement (Brand or DR) is a plus * Knowledge or experience with privacy technologies is a plus (e.g., secure multi-party computation techniques, differential privacy, federated learning)

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands. Responsibilities: * Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve TikTok Shop's Seller Central Live products * Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business/user product offerings; * Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way; * Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features; * Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth. Provide recommendations for improvements to achieve business goals; * Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.Minimum Qualifications: * Bachelor degree in Mathematics, Statistics, Computer Science, or Analytics * At least 3 years of Data Science Experience * Product Analytics, Statistics, and Experimentation expertise * Proficient in SQL & Python or R Preferred Qualifications: * Advanced Degree (MS, PhD.) in Mathematics, Statistics, Analytics, etc * Machine Learning modeling skills preferred (regression, tree-based, etc) * Have excellent communication skills, an open mind, and positive critical thinking * Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice * Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems; * End-to-end ownership: embrace the ownership mindset * Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges. * Experience with Seller or Live products highly preferred

TikTok Global E-commerce Data Science team leverages rigorous data analysis and scientific methodologies to drive business growth, enhance operational efficiency, and improve the experience for users, merchants, and creators worldwide. The team conducts exploratory analyses and forward-looking insights to identify market trends and user/merchant/creator behavioral patterns, uncovering opportunities for optimization. We design and interpret A/B tests, apply causal inference methodology to support product iterations for both to C and to B products. We also build foundational data infrastructure and develop dashboards to empower product, operations, engineering, and cross-functional teams to monitor performance and identify areas for improvement. At TikTok, we champion a data science philosophy rooted in statistical rigor, data-driven decision-making, and scalable methodologies to support global e-commerce expansion. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Conduct data analysis for TikTok's global e-commerce products, covering areas such as creators & merchants, content e-commerce, promotion tools, ShopTab, and transaction flow; * Design and analyze A/B tests, evaluate product optimizations, analyze campaign performance, monitor key metric fluctuations, and assess client-side version updates; * Analyze country-specific factors influencing product optimization and business growth, and propose actionable product improvement solutions aligned with business direction; * Collaborate closely with product managers, operations, engineering, and algorithm teams to implement data-driven strategies and deliver measurable business impact; * Build and maintain e-commerce product metric systems, work with data engineering teams to construct foundational data pipelines and visual dashboards, and enable business stakeholders to gain actionable insights.Minimum Qualifications: * Currently pursuing an Undergraduate/Master in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Proficient in data analysis tools and languages such as SQL, Python, or R; * Solid foundation in statistics, with hands-on experience in A/B testing, regression analysis, and causal inference; - Strong data visualization skills and ability to clearly communicate analytical insights through dashboards and reports; * Results-driven, highly self-motivated, and accountable; excellent team player with strong organizational and communication skills. Preferred Qualifications: * Currently pursuing an Advanced Degree (MS) in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Experience in cross-border or international e-commerce data analysis or modeling; * Familiarity with machine learning frameworks or predictive modeling; hands-on experience with tools such as Scikit-learn, TensorFlow, or PyTorch; * Experience working with big data technologies such as Hive, Spark, or Hadoop; * Strong cross-functional communication skills. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

About the Team The data analytics team will be responsible for data analysis of TikTok e-commerce's US ecom logistics operations Responsibilities 1. Responsible for data analysis of TikTok e-commerce's US logistics operations 2. Maintain & improve operation performance index; assist top management to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports 3. Cooperate with logistics team to set strategy, e.g. Fulfillment network design, warehouse efficiency optimization, capacity management 4. Follow-up data analysis of operation teams in several overseas markets, support operation and provide optimization suggestions 5. Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business Minimum Qualifications: * Degree holder in Logistics and Supply Chain Management, Operation Research, Mathematics, Statistics, Computer Science * Proficient in SQL and familiar with Python or R Preferred Qualifications: * Experience in US logistics or US E-Commerce site fulfillment process (Amazon FBA/SFP; Ebay/Walmart/Shopify) is a strong plus * At least 5 years of working experience in logistics or supply-chain related data modeling analysis; Familiar with fulfillment network design, inventory management, US logistics carrier optimization * High energy, self-motivation and ability to work independently in a fast-growing environment

About The TikTok Monetization Product Data Science Team We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. Responsibilities： 1. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and prototype analysis pipelines iteratively to provide insights at scale. 3. Develop comprehensive knowledge of TikTok data structures and metrics, advocating for changes where needed for product development. Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 4. Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.Minimum Qualifications: * Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, * Economics, Computer Science, Mathematics, Physics) or equivalent practical experience. * Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. * Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL) Preferred Qualifications: * Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. * Demonstrated skills in selecting the right statistical tools given a data analysis problem. * Effective written and verbal communication skills.

Team Intro: The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform. On-site presence across teams allows the company to operate with greater speed, alignment, and agility - especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule. The specific requirements may vary from team to team. Responsibilities: This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Specific responsibilities include: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction. * Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring. * Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile. * Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion. * Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc. * Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges. * Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance. * Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions. * Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.Minimum Qualifications: * 3+ years of progressive success in roles of increasing responsibility. * 3+ years working in data science, risk, machine learning, and A/B testing. * 3+ years of coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models. * 5+ years of experience with Tableau or other data visualization tools (e.g. Tableau). Preferred Qualifications: * Knowledge of the payments industry is highly desirable. * Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. * Strongly skilled at manipulating and integrating data from a variety of sources. * Proficiency with test design, feature creation, model development, and documentation.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Team Introduction: As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank. Responsibilities: * Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis); * Design and implement reliable, scalable, robust and extensible big data systems that support core products and business; * Establish solid design and best engineering practice for engineers as well as non-technical people.Minimum Qualifications: * BS or MS degree in Computer Science or related technical field or equivalent practical experience; * Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.); * Experience with performing data analysis, data ingestion and data integration; Preferred Qualifications: * Experience with ETL(Extraction, Transformation & Loading) and architecting data systems; * Experience with schema design, data modeling and SQL queries; * Passionate and self-motivated about technologies in the Big Data area.

As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. This position can be based out of our Mountain View or Seattle office. Responsibilities - What You'll Do * Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis); * Design and implement reliable, scalable, robust and extensible big data systems that support core products and business; * Establish solid design and best engineering practice for engineers as well as non-technical people.Minimum qualifications: * BS or MS degree in Computer Science or related technical field or equivalent practical experience; * Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.); * Experience with performing data analysis, data ingestion and data integration; * Experience with ETL(Extraction, Transformation & Loading) and architecting data systems; * Experience with schema design, data modeling and SQL queries; * Passionate and self-motivated about technologies in the Big Data area.

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.

CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at ****************** What You'll Do: The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave. We aim to democratize insights and foster a culture where data-driven decision-making thrives at every level of the organization. About the Role: We're seeking a skilled Data Engineer to develop foundational data models that empower our Business Intelligence engineers, analysts, and data scientists to efficiently work with and gain insights from our data. You'll create and maintain star and snowflake schemas within our lakehouse environment, generate key datasets and metrics essential to tracking business health, and optimize the flow and storage of data to support analytical workloads across the organization. Who You Are: * Hands-on experience applying Kimball modeling principles to large datasets * Expertise with analytical table/file formats such as Iceberg, Hudi, Parquet, Avro, and ORC * Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift) * 3-5+ years of programming experience in Python, Java, or Scala in a professional setting * Advanced SQL skills, with the ability to write, optimize, and debug complex queries * Hands-on experience with Airflow for batch orchestration and distributed computing frameworks like Spark or Flink * Experience managing systems deployed on Kubernetes is highly desirable, but not required Preferred: * Experience designing and optimizing large-scale data pipelines * Strong understanding of data lakehouse architectures and analytics workflows Wondering if you're a good fit? We believe in investing in our people and value candidates who bring their own diverse experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team: * You love designing and optimizing data models for analytics * You're curious about building efficient, scalable data pipelines * You're an expert in turning complex data into actionable business insights Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you won't want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: * Be Curious at Your Core * Act Like an Owner * Empower Employees * Deliver Best-in-Class Client Experiences * Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: * Medical, dental, and vision insurance - 100% paid for by CoreWeave * Company-paid Life Insurance * Voluntary supplemental life insurance * Short and long-term disability insurance * Flexible Spending Account * Health Savings Account * Tuition Reimbursement * Ability to Participate in Employee Stock Purchase Program (ESPP) * Mental Wellness Benefits through Spring Health * Family-Forming support provided by Carrot * Paid Parental Leave * Flexible, full-service childcare support with Kinside * 401(k) with a generous employer match * Flexible PTO * Catered lunch each day in our office and data center locations * A casual work environment * A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: *********************. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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$193,759-$339,078 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.

About the Team The Go To Market Technology (GTMT) organization enables the growth and productivity for DoorDash Go-To-Market teams with reliable data, intelligent workflows, and frictionless experiences that move at the speed of DoorDash. We build systems that streamline business processes to be nimble and effective while serving the needs of our Merchants and Customers. We're looking for analysts to join our Go-To-Market Technology (GTMT) team, where you'll build elegant solutions that power DoorDash's rapid growth. Specifically, we are seeking proactive and driven individuals who are eager to dive deep into data, build scalable data platforms/tools, and translate insights into actions that drive our business forward. About the Role We're looking for a business-savvy data specialist who can think like an engineer and act like an analyst. You'll automate high-impact GTM workflows, rapidly prototype new business processes, and own end-to-end data quality across critical systems. If you've built internal tools, scripted away manual reporting pain, or unified Salesforce data across platforms - we want to talk to you. You will be reporting to the Manager of the GTM - Data team in our GTM product and engineering organization. Responsibilities * Partner with Product, Engineering, Data Science & Analytics, Operations, Finance, and other cross-functional stakeholders to understand their needs and deliver data solutions to meet business objectives. * Develop frameworks and scalable processes to streamline reporting, drive decision-making, and build first class scalable data platforms/ tools to deliver data quickly, reliably, and accurately. * Implement automation solutions, data products and explore/integrate AI capabilities into data tools and applications to enhance productivity and decision-making. * Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests. * Build and maintain robust data pipelines and data models using tools like SQL, Python, Airflow, ensuring high data integrity and performance. You're excited about this opportunity because you will: * Drive Strategic Impact: Play a pivotal role in shaping business objectives through the implementation of innovative technological solutions. * Own Problem Solving: Enjoy the autonomy to directly address and resolve challenges in collaboration with key business partners. * Embrace Continuous Evolution: Thrive in a dynamic environment where you'll encounter new challenges and opportunities to expand your skillset. * Develop Diverse Expertise: Continuously enhance both your business acumen and technical capabilities across a wide range of problem domains - including exploring and applying AI capabilities to automate workflows, improve decision-making, and drive innovation in GTM operations * Tackle Ambiguity: Embrace the challenge of solving large, complex problems using an iterative and data-driven approach. * Shape Data Infrastructure: Be at the forefront of transforming and managing data to make it insightful and accessible for critical business processes. * Influence Decision Making: Define and monitor key metrics, build insightful dashboards, and present findings to senior leadership, directly influencing strategic decisions. * Build Scalable Solutions: Develop robust data pipelines and scalable processes that streamline reporting and drive prioritization. * Partner Cross-Functionally: Collaborate closely with Product, Engineering, Data Science & Analytics, Operations, Finance, and other teams to deliver data solutions and meet business objectives. * Innovate with Technology: Explore and implement automation solutions and AI capabilities to enhance data tools and applications. We're excited about you because you have: * 4+ years of experience in analytics engineering in a high-growth environment. * Ability to translate unstructured business problems into clearly defined requirements with minimal oversight. * Ability to build automation solutions, ETL pipelines and production facing data products to scale business processes. * Proficient in SQL and Python and quantitative analysis; you can deep dive into large amounts of data, draw meaningful insights, dissect business issues, and draw actionable conclusions. You can automate business processes and integrate internal systems using python scripts and build unified sources of truths using ETL pipelines. * Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems. * Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question. * Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively. * Strong attention to detail, structured thinking, and experience developing processes to reduce human error. * Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. * Good understanding of development processes and best practices like engineering standards, code reviews, and testing. Nice to Have: * Knowledge of CI/CD practices and infrastructure as code. * Deploying, monitoring, and maintaining applications/services in AWS and DevOps skills. * Experience building dashboards in Sigma/Tableau for performance analysis. Why You'll Love Working at DoorDash * We are leaders: Leadership is not limited to our management team. It's something everyone at DoorDash embraces and embodies. * We are doers: We believe the only way to predict the future is to build it. Creating solutions that will lead our company and our industry is what we do -- on every project, every day. * We are learners: We're not afraid to dig in and uncover the truth, even if it's scary or inconvenient. Everyone here is continually learning on the job, no matter if we've been in a role for one year or one minute. * We are customer obsessed: Our mission is to grow and empower local economies. We are committed to our customers, merchants, and dashers and believe in connecting people with possibility. * We are all DoorDash: The magic of DoorDash is our people, together making our inspiring goals attainable and driving us to greater heights. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: * For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. * For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $100,600-$148,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection.

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally. What we do This specialized role is within the Technology operations group of The Trade Desk's Engineering. This group is focused on delivering world-class solutions for Enterprise needs within The Trade Desk. We are seeking a skilled and motivated Software Engineer II - Data Engineer to join our growing data team. In this mid-level role, you will be instrumental in developing, building, and maintaining the data pipelines and architecture that enable our organization to turn raw data into actionable insights. You will work on complex data problems, collaborate with cross-functional teams, and help ensure the reliability, efficiency, and quality of our data systems. What you'll do: * Data Pipeline Development: Design, build, and optimize scalable ETL/ELT pipelines for both batch and real-time data processing from disparate sources. * Infrastructure Management: Assist in the design and implementation of data storage solutions, including data warehouses and data lakes (e.g., Snowflake, S3, Spark), ensuring they are optimized for performance and cost efficiency. * Data Quality and Governance: Implement data quality checks, monitor data pipeline performance, and troubleshoot issues to ensure data accuracy, reliability, and security, adhering to compliance standards (e.g., GDPR, CCPA). * Collaboration: Work closely with product managers, data scientists, business intelligence analysts, and other software engineers to understand data requirements and deliver robust solutions. * Automation and Optimization: Automate data engineering workflows using orchestration tools (e.g., Apache Airflow, Dagster, Azure Data Factory) and implement internal process improvements for greater scalability. * Mentorship: Participate in code reviews and provide guidance or mentorship to junior team members on best practices and technical skills. * Documentation: Produce comprehensive and usable documentation for datasets, data models, and pipelines to ensure transparency and knowledge sharing across teams. Who you are: * Bachelor's degree in computer science, information security, or a related field, or equivalent work experience. Masters degree preferred. * 4+ years of experience in a Data engineering role and have a broad understanding of Data Modeling, SQL, OLAP, and ETL required. Experience working with data pipelines including data modeling at petabyte scale is a bonus. * 4+ years of experience working with multiple database platforms by designing and implementing data and analytics solutions using technologies such as Snowflake, Databricks, Vertica, SQL Server, and MySQL required. * 4+ years of experience required in one or more programming languages,particularly SQL. Proficiency in the following programming languages also required: PL/SQL, Python, C#, Scala or Java. * Experience with workflow technologies like Spark, Airflow, Glue, Prefect or Dagster required * Experience with version control systems, specifically Git required. * Familiarity with DevOps best practices and automation of processes like building, configuration, deployment, documentation, testing, and monitoring. * Understanding BI and reporting platforms required, awareness of industry trends in the BI/reporting space, and how it can apply to an organization's product strategies. * AdTech industry and its trends preferred. * Experience with containerization tools like Docker and Kubernetes preferred. * Familiarity with data modeling and data warehousing concepts preferred. * Basic understanding of machine learning concepts and how models work. * Strong analytical and problem-solving skills with attention to detail. * Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders. * A proactive and continuous learning mindset. #LI-TP1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY]The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY]Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200-$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.

At TTD, data scientists partner closely with engineering throughout the entire product lifecycle-from ideation to production and ongoing monitoring. Our data scientists are true end-to-end owners, actively involved in designing, researching, building, and delivering data-driven products that empower our clients and traders. We are seeking a Staff Data Scientist to join the Open Path team. In this role, you will focus on developing metrics to quantify supply path efficiency and applying scalable data science modeling on large-scale datasets to improve the buying strategy. The main job directions include: * Drive data science execution plan based on business needs to measure supply path efficiency and quality, which includes metrics and methodology development, experimental design and statistical testing, etc. * Define success criteria for causal measurement and ensure that model insights translate into tangible business improvements. * Design and automate diagnosis process on supply path trouble shooting and performance analysis * Develop algorithms and models to proactively detect and interpret shifts in inventory supply paths. * Collaborate with product managers and engineers integrate models into existing workflows, making outputs actionable and aligned with business objectives. * Mentor junior data scientists, fostering growth, technical excellence, and knowledge-sharing across the team. WHO WE ARE LOOKING FOR * Possess a keen sense of data intuition and the ability to innovate in the field of metric development, performance diagnosis, causal inference, and/or statistical modeling. Experienced in cross functional collaboration and data science execution plan design. * Proficient in coding with large data sets, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of statistical models and solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics, applied mathematics, and experimentation. * Hands-on experience building data science solutions at scale. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver advanced analytics or models. WHAT YOU BRING TO THE TABLE We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: * BS/MS with 8+ years of experience, or PhD with 6+ years of experience, in a data science role involving the full product lifecycle from ideation to production. * Strong background in data analysis, causal inference and experimental design in production environments. * Proficiency in Python and Scala * Hands-on experience running large-scale workloads on distributed computing clusters (e.g., EMR, Databricks), leveraging Spark to process big datasets. * Excellent communication skills, with the ability to engage diverse stakeholders, make architectural recommendations, drive effective execution, and measure outcomes. * Experience in programmatic advertising and/or real-time auctions is a plus. * Experience with deep learning is a plus. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $137,300-$251,800 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally. ABOUT THE ROLE Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders. This role is responsible for the research and application of forecasting models to support planning and recommendation related products across the platform. Accurate forecasting is critical for us to give timely feedback on user selection in audience, inventory, and other campaign set ups. Our forecasting model uses deep learning models to capture the massive signal uses in execution. The main job directions include: * Develop ML/deep learning based models end-to-end to support various forecasting need throughout advertising campaign life cycle, including working on signal collection, feature construction, model evaluation and monitoring; * Collaborate with engineer team on signal collection pipeline and model training, deployment and monitoring processes; * Collaborate with downstream team to understand their forecasting needs and design appropriate models; * Design offline and online model success metrics and use data to drive iterative model improvement WHO WE ARE LOOKING FOR * Proficient in machine learning (ML) and deep learning (DL). You have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of ML and DL solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and ML/DL models. * Hands-on experience building deep learning models at large scale. A track record of partnership with a cross-functional team of data scientists, engineers and product managers to deliver AI-powered analytics or models. * Familiar with forecasting domain with solid knowledge background and application experience. Knowledge in privacy safe measurement and data storage is a plus. * Possessing a keen sense of data intuition and the ability to innovate in the field of model development. Have a data driven mindset and use data to drive your model development plan. WHAT YOU BRING TO THE TABLE We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: * BS/MS with 4+ years or a PhD with 2+ years of experience working in a DS or ML role that involves bringing products from ideation to production. * Experience in deep learning, PyTorch/ TensorFlow preferred. * The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes. * Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred. * Proficient in Python. Strong spark skills are a plus. * The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes. * Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred. * Proficient in Python. Strong Spark skills are a plus. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200-$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.

Our Mission & Culture At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact. We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights. This role offers a unique opportunity to join a data engineering team to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. What You'll Own and Deliver (Responsibilities) As a core member of our data engineering team, you will design, build, and scale the services that power Xealth's Analytics and Reporting Capabilities. You'll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines. Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads. Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks. Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments. Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency. Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability. Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team. Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery. The Expertise You'll Bring (Requirements) We're looking for a data engineer with strong computer science fundamentals. Someone who's comfortable reasoning about systems, data, and code structure at scale, and who's excited to apply those skills in healthcare. Core Technical Competencies: Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems. CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets. Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics. Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro. Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines. API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow. Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes. Highly Valued Experience (Nice to Have) Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health. Visualization: Experience building dashboards and visualizations to communicate data insights effectively About Xealth Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation. Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023. We're looking for a data engineer with strong computer science fundamentals - someone who's comfortable reasoning about systems, data, and code structure at scale, and who's excited to apply those skills in healthcare. Compensation & Benefits: Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The compensation range for this position is $155,000 - $225,000 + bonus, depending on geographic market. Paid parental leave. Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs. Xealth provides your laptop and offers a home office stipend. Generous learning & development opportunities for you to grow your skills and career. 401k Match: Xealth offers a dollar-for-dollar match up to 3%. Flexible time off & 10 standardized holidays. $500 yearly fitness stipend to spend on staying active. Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Job DescriptionOur Mission & Culture At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact. We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights. This role offers a unique opportunity to join a data engineering team to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. What You'll Own and Deliver (Responsibilities) As a core member of our data engineering team, you will design, build, and scale the services that power Xealth's Analytics and Reporting Capabilities. You'll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines. Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads. Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks. Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments. Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency. Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability. Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team. Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery. The Expertise You'll Bring (Requirements) We're looking for a data engineer with strong computer science fundamentals. Someone who's comfortable reasoning about systems, data, and code structure at scale, and who's excited to apply those skills in healthcare. Core Technical Competencies: Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems. CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets. Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics. Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro. Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines. API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow. Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes. Highly Valued Experience (Nice to Have) Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health. Visualization: Experience building dashboards and visualizations to communicate data insights effectively About Xealth Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation. Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023. We're looking for a data engineer with strong computer science fundamentals - someone who's comfortable reasoning about systems, data, and code structure at scale, and who's excited to apply those skills in healthcare. Compensation & Benefits: Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The compensation range for this position is $155,000 - $225,000 + bonus, depending on geographic market. Paid parental leave. Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs. Xealth provides your laptop and offers a home office stipend. Generous learning & development opportunities for you to grow your skills and career. 401k Match: Xealth offers a dollar-for-dollar match up to 3%. Flexible time off & 10 standardized holidays. $500 yearly fitness stipend to spend on staying active. Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting-edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable-comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems and impact millions of users You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews and educational sessions for the team Working with our partners in academia to stay at the very forefront of R&D in our space What we look for in a candidate: More than five years of experience after completing PhD, or equivalent demonstrable industry experience PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Research track demonstrated by top-level journal and conference publications Strong problem-solving and self management skills Passion for technical and scientific excellence Strong communication skills and capacity to report and disseminate results Perks: Competitive salary with stock options Healthcare plan Competitive vacation and leave policy Unlimited in-house healthy snacks & drinks Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.