Data Instructor Jobs

About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-fac

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United States or Canada About the role We are looking for a Senior Data/ML Engineer to own the data and machine learning foundation that Sardine's compliance decisions run on. Every onboarding decision we make — a payment approved, an account blocked, a KYC case escalated — is the output of a pipeline someone built. This role owns those pipelines end to end: how data arrives, how it becomes a feature, how that feature becomes a model, and how that model stays correct in production. This is a high-impact, highly technical IC role sitting at the intersection

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you’ll do: Manage a team of Data Scientists supporting SoFi’s Checking and Savings, Invest, Credit Card, Protect, and Lantern businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and reta

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. About Data & Technology Solutions WPP’s Data & Technology Solutions is WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology products to power marketing transformation. At the heart of this is WPP Open - our AI platform for marketing that connects professionals, data, tools, and AI in a single place. It is the simplest, safest, and fastest way to realize the benefits of scaled AI, delivering better-informed creative ideas faster, at scale, and at lower cost. We’re endlessly curious, and our team of thinkers, builders, creators, and problem solvers is over 2,000 strong across 20 markets around the world. Why we're hiring: We are looking for a Data Engineer to join our Open Intelligence initiative. In this hands-on technical role, you will build and maintain core data capabilities, pipelines, and innovative features that power our global media ecosystem. You bring strong communication skills, an understanding of brand, adtech, and marketing data, and a commitment to engineering reliable

Senior Data Analyst Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As Prolific scales, maintaining a healthy and sustainable participant marketplace will be critical to our ability to meet growing demand for high-quality human data. We are looking for a Senior Data Analyst who can independently drive strategic marketplace analytics and act as an end-to-end partner across product, operations, and leadership. What you’ll bring to the role Senior Analytics Expertise: Advanced SQL and strong Python proficiency (e.g. pandas, experimentation analysis, automation), with a proven track record of architecting scalable reporting frameworks and data marts in modern BI tools (Metabase, Looker, Tableau, Hex). Demonstrated capability to independently own ambiguous problems end-to-end — from complex raw data to executive-ready strategic insights. Lifecycle Analytics: Experience analysing user acquisition, onboarding, activation, engagement, retention, churn, and behavioural cohorts. Experimentation & Statistics: Experience designing and analysing A/B or operational experiments, with solid grounding in statistical concepts and causal thinking. Product Thinking: Ability to translate participant and marketplace challenges into measurable hypotheses, success metrics, and actionable recommendations. Commercial Acumen: Strong ability to connect operational metrics to revenue, margin, and financial performance — understanding not just what is happening, but why it matters commercially. Strategic Autonomy & Ownership: Exceptional ability to operate with high autonomy in a dynamic environment, independently setting priorities, challenging assumptions, fr

A Career with Point72's Strategy Team The Strategy team is a multidisciplinary group that partners directly with the firm's businesses to identify, design, and lead value-creating strategic business initiatives. We enable the development of new businesses, engage in special projects, and support the firm's strategic planning process. We also source, negotiate, and manage the firm's data assets, building a unified foundation that supports our investment professionals and the firm's growing data and AI ambitions. What you'll do You will help identify and bring differentiated data and research sources into Point72’s investment research process, partnering with investment professionals, research colleagues, Compliance, and external providers. Specifically, you will: Shape the data sourcing strategy to help investment teams access differentiated, compliant research inputs that can inform investment decision-making Research alternative data ecosystems and market trends to identify new sources of insight for internal research consumers Evaluate prospective data and research providers by assessing content quality, relevance, usability, and fit with investment team needs Manage relationships with external data and research providers, including service changes, ongoing engagement, and awareness of market developments Negotiate business terms and pricing with content providers while coordinating internal alignment on scope and value Coordinate onboarding for new data and research sources by gathering requirements, managing approvals, and driving timely implementation Partner with Compliance to evaluate new providers, monitor existing relationships, and support appropriate use of services Build trusted relationships with investment teams by responding to requests, answering questions, and connecting teams with relevant research resources Guide team members and help develop consistent processes across provider management activities What's required 2-4 years of experience in alte

Senior Data Migration Specialist About the Project We are looking for an experienced Senior Data Migration Specialist to provide expertise on a large-scale transformation programme within the financial services sector. This opportunity is suited to a senior migration specialist who combines strong technical knowledge with experience coordinating complex migration activities across business and technology teams. The engagement focuses on migrating data from a legacy SaaS platform to a new strategic solution. The programme is currently shaping its migration approach and entering a critical phase of planning, reconciliation design, and cutover preparation. Scope of services: As a Senior Data Migration Specialist, you will: Coordinate the development and delivery of the end-to-end data migration strategy. Define migration approaches, data quality standards, validation criteria, and reconciliation processes. Coordinate the design and implementation of qualitative and financial reconciliation tooling. Collaborate with business stakeholders, solution architects, engineering teams, testing teams, and third-party vendors to ensure successful migration outcomes. Facilitate migration planning activities, including migration waves, cutover planning, rollback scenarios, and readiness assessments. Identify migration risks, dependencies, assumptions, and issues throughout the programme lifecycle. Communicate delivery progress, key risks, and dependencies to programme stakeholders. Contribute to the continuous improvement of migration methodologies, governance practices, and delivery standards. Required Experience Proven experience leading enterprise-scale data migration initiatives within financial services or another highly regulated industry. Strong technical knowledge of: data migration methodologies, ETL processes, data quality management, reconciliation approaches, migration tooling and validation techniques. Experience working with SaaS platforms and complex system mi

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Data Steward to support and accelerate the productivity of our Sales organization. You will manage the governance and quality of data in Smartsheet's source CRM system that supports the daily operations of our Sales organization. You will maintain data assets and establish relevant processes with the ultimate goal of making it easier for our Sales reps to find and understand the data they need. You will support our Sales analyst team scrubbing data and researching inconsistencies in reporting. This role reports to a Sr. Manager, Variable Compensation based in the US. This role is eligible for remote work within Costa Rica. You must reside in Costa Rica. You Will: Lead changes and revisions to master data, metadata, and data hierarchies and affiliations within given guidelines Ensure that the Sales organization is operating off a single source of truth that can be reliably queried and accessed Perform initial data quality checks on extracted data Provide recommendations to leadership on needed updates or inputs into data governance policies, practices, and guidelines Other job duties as assigned. You Have: Bachelor's degree in related preferred 2+ years of experience in metadata management beneficial Experience in Cloud and SaaS go-to-market (GTM) Knowledge of data governance challenges and best practices for data quality and data stewardship A high level of proficiency in Excel (can perform complex functions) and Salesforce.com or equivalent CRM tool The ability to serve as a condu

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights. This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science. What You'll Be Doing: Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental metho

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

Job Description: Data & Analytics Engineer (3-4 Years Experience) : 100% Remote Job Title: Data & Analytics Engineer Experience: 3-4 years Location: Remote Employment Type: Full-time Team: Data Engineering & Analytics About the Role Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds the AWS data pipelines and customer-facing dashboards that power analytics across the platform. We are looking for a Data & Analytics Engineer with 3-4 years of experience who can own dashboard delivery end to end along with the pipelines behind it. The ideal candidate learns fast, builds product context quickly, listens well, and collaborates effectively across product, engineering, DevOps, and customer-facing teams. Key Responsibilities Own dashboard changes end to end in QuickSight and ThoughtSpot - new metrics and filters, SPICE refresh management, internal-to-production promotion, and post-release validation. Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow (MWAA) DAGs. Write and optimize Redshift SQL; debug query performance, connection contention, and data mismatches across sources. Support near-real-time ingestion (Kafka/MSK CDC → Glue Streaming → S3 → Redshift). Investigate customer-reported analytics discrepancies (Jira/support tickets), root-cause them in the data, and communicate findings clearly to support, product, and engineering. Set up and respond to pipeline monitoring - CloudWatch metrics and alarms, monitoring DAGs, refresh health - and participate in incident triage and RCA. Develop deep product knowledge: understand what each metric means to our credit union customers and translate product changes into data model and dashboard updates. Ensure data quality, validation, and consistency across systems. Required Skills & Qualifications 3-4 years of experience in data engineering and/or

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. About Open Intelligence: Open Intelligence (OI) is one of WPP’s most strategic bets — a data and AI initiative at the intersection of machine learning, advertising technology, and audience insight, built to power the next generation of media intelligence. OI operates at real scale, running across the US and UK and expanding rapidly across EMEA and APAC. Our Copenhagen team has ~50 people, including 14+ data scientists and a strong engineering group. We’re flat, high-trust and fast-moving: strong opinions loosely held, teamwork over ego, aim high and have fun. Why we're hiring: Open Intelligence is accelerating the development of its core AI capabilities, and we are strengthening our applied-AI and engineering group in Copenhagen. We need a Data Engineer who can help bridge the gap between AI experimentation and production software engineering — working alongside data scientists and senior engineers to turn cutting-edge model research, multimodal embeddings, and agentic tools into scalable, robust, and well-architected components that power products across WPP globally. We are looking for a Data

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Engineering Manager – Data Science for Truecaller for Business(TfB), you will lead a high-performing team of Data Scientists and Data Analysts driving intelligence, safety, and operational clarity for our enterprise ecosystem. You will sit at the intersection of technical excellence, risk monitoring, and strategic product execution—architecting intelligence engines, shaping risk-mitigation roadmaps, and mentoring top-tier talent. You will be responsible for combining your advanced data science skills with leadership abilities to guide the Data team in solving complex business problems and building data-driven solutions for our enterprise customers. You will partner with leadership on long-term planning and development of the team at large. What you’ll do: Own the overarching Data Science strategy and technical roadmap for Truecaller for Business (TfB). Translate business vision into executable data initiatives, define core KPIs, and drive continuous delivery via agile sprint cycles. Lead the hands-on architecture, scaling, and production deployment of ML models to drive core business outcomes. Serve as the strategic liaison between Data Sc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do: Own end-to-end pricing experimentation, from test design through analysis and recommendation Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship Synthesize complex findings into clear, actionable recommendations and present them to senior leadership Required Skills and Experience: 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field) 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and

The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road. You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets. In this role, you will: Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise. Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms. Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency. Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap. Establish best practices and processes around simulation, evaluation, and data-driven decision-making. Qualifications Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages. Experience building tools, services, or frameworks that make complex systems usable by non-specialist users. Familiarity with any version control system, with preference for Git. Experience designing metrics and building mechanisms that deliver robust, actionable insights. Good communi