Define, plan, and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automation.
Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
Test-driven development of scalable data processing applications.
Take ownership of end-to-end client analytical projects, from initial solution design and data integrity evaluation through to final documentation and implementation.
Serve as an internal subject matter expert for complex analytics; be hands-on, using advanced Python and Spark to build scalable, production-ready solutions.
Act as a key consultant for clients and internal partners; perform advanced analytics at explaining complex methodologies and results to both technical and non-technical audiences.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company with corporate headquarters in Dublin, Ireland, they have a team of 22,500 people across 32 countries.
Analyze unstructured and semi-structured data using advanced computational methods.
Develop and implement algorithms for large-scale data analysis on distributed and cloud-based infrastructures.
Process and index high-volume data collections and high-velocity data streams.
EXPANSIA is a service-disabled veteran-owned company that empowers organizations to be mission ready now with data, people, and ecosystems. As experts in continuous-delivery methods that drive digital adoption, they are dedicated to innovation, efficiency, and technology that benefit the warfighter.
Understand complex business challenges and translate them into data science problems.
Design and implement machine learning models, statistical tests, and optimization strategies.
Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Advance conviction in decision-making throughout Juul Labs.
Build models to analyze various datasets across the organization, leveraging commercial sales and execution data.
Develop new systems and tools to enable stakeholders to consume and understand data more intuitively.
Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.
Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
Translate complex data science concepts into actionable business insights for senior executives.
Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.
ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.
Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams.
Mirakl provides eCommerce software solutions that enable enterprises to drive growth and efficiency in their online business. With over 350 employees in France and offices in 7 countries, Mirakl is considered a Great Place to Work company that is pioneering the platform economy.
Applies statistical rigor and advanced analytical techniques to extract value from our product and business data. Requires a strong understanding of product usage to provide actionable insights that drive business strategy and feature development. Translates complex data into clear business recommendations and works closely with Product Managers, Executive Leaders, and Engineering teams.
At Docker, we make app development easier so developers can focus on what matters.
Explore, analyze, and visualize large datasets from mobile + web observability data and user session data
Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data
Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features
Embrace is the only user-focused observability solution built on OpenTelemetry, delivering insights across DevOps, web, and mobile teams. Customers like The New York Times and Home Depot use Embrace's platform to make complicated data actionable, reflecting the company's values of continuous improvement.
Transform data into actionable insights for product, operational, and business decisions. Analyze complex datasets and build predictive models to solve ambiguous problems. Collaborate with cross-functional teams to define data needs and drive data-driven solutions.
Oowlish is one of Latin America's rapidly expanding software development companies.
We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.
Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Identify and propose ML opportunities related to your scope and beyond
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Deploy and test ML applications using our MLOps infrastructure
Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. They are growing fast and are one of the most impactful, fastest-growing Tech companies in Africa.
Elevate Retail with AI-Driven Solutions to transform retail strategy with our AI-powered platform, designed to curate the finest deals and streamline product discovery for consumers.
Empower global marketing efforts with automation and personalised content that resonates with shoppers.
Autonomy to work on data pipelines, writing SQL queries and processing data using Pandas, Polars or Spark..
ShopFully is the platform turning browsing into shopping, connecting 200 million shoppers with deals while boosting local sales for retailers and brands. They are a team of 450 people from 30 different nationalities, innovating and building a more diverse team.
Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and their corporate headquarters are in Dublin, Ireland.
Design, build, and oversee the deployment of technology for managing structured and unstructured data.
Develop tools leveraging AI, ML, and big-data to cleanse, organize, and transform data.
Design and maintain CI/CD pipelines using GitHub Actions to automate deployment, testing, and monitoring.
NBCUniversal is one of the world's leading media and entertainment companies creating world-class content across film, television, streaming, theme parks, and more.
Design and deploy production-ready ML solutions, leveraging cutting-edge platforms.
Conduct causal analysis to guide high-stakes business strategy.
Integrate models into production systems and monitor their performance using advanced observability tools.
CSC Generation is the AI-native holding company re-engineering omni-channel retail by acquiring iconic brands and transforming them with their operating platform.
As a Principal Decision Scientist, you will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. You will design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights.
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences
Identify and address business challenges through data-driven solutions.
Develop and implement Machine Learning and statistical models.
Design experiments to validate hypotheses and measure impact.
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-driven mindset, our teams lead complex software projects from architecture to execution. They value autonomy, clear communication, and technical excellence.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.