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.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Lead data science initiatives by analyzing complex datasets to uncover insights.
Design, develop, and deploy predictive and prescriptive models using machine learning.
Collaborate with business stakeholders to define project objectives and communicate results effectively.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates to share them directly with the hiring company.
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.
Build and maintain data pipelines to support machine learning and analytics workflows.
Collect, clean, and transform large, complex datasets from engineering environments.
Develop and train predictive models for yield, performance, and anomaly detection.
We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.
Designing and maintaining quantitative models, indices, and scoring frameworks.
Using LLMs to support qualitative analysis at scale, such as text analysis and signal extraction.
Analyzing trends across time and geography using heterogeneous data sources.
Sibylline is a leading intelligence and strategic risk consultancy in the security sector, supporting businesses, governments, and NGOs by providing high-quality risk analysis, due diligence, and consultancy services since 2010. They offer an innovative, entrepreneurial, and fast-growing working environment, with fantastic opportunities for career progression.
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.
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.
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.
Develop and test new modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks.
Build and refine frameworks that integrate into Tilt’s existing ML pipelines to improve credit modeling and loss prediction.
Work closely with data scientists, engineers, and product partners to translate complex ideas into practical solutions.
Tilt (formerly Empower) creates mobile-first products and machine learning-powered credit models to look beyond outdated credit scores. They are named among the next billion-dollar startups and are creating a new credit system that backs the working.
Train, evaluate, and optimize machine learning models for high performance.
Contribute to R&D in object detection and multi-object tracking for remote sensing.
Design and deliver production-grade, maintainable code while managing multi-phase development.
Clarifai is a leading AI platform specializing in computer vision and generative AI. They empower organizations to transform unstructured data into actionable insights. Their globally distributed team operates across the United States, Canada, Estonia, Argentina, and India and is committed to building a diverse and inclusive team.
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.
Partner with Marketing teams to analyze and optimize the full customer funnel.
Build and maintain statistical models and analyses related to key marketing use cases.
Design, analyze, and interpret experiments across marketing channels and on-site experiences.
Hone is an online medical clinic transforming healthcare and enhancing longevity by using scientific advancements. They empower men and women to take control of their health. Hone is a fully virtual, remote-first employer that values its employees.
Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, empowering customers to give their clients magical moments. They value diverse backgrounds, equal opportunity, and an inclusive culture, with a team that values curiosity and experimentation.
Design machine learning solutions using cloud-native technologies.
Collaborate with stakeholders to gather requirements for ML solutions.
Architect ML solutions on cloud platforms with a focus on MLOps.
Jobgether connects job seekers with partner companies using an AI-powered matching process. They ensure applications are reviewed quickly and fairly against core requirements, identifying top candidates for hiring companies.
Lead the vision and delivery of data driven models to optimize the delivery experience.
Collaborate with business, product, and engineering partners to deliver data science solutions.
Build data driven, robust and replicable data science models.
Gopuff is a high-growth startup revolutionizing hyper-local instant e-commerce by warehousing and delivering tens of thousands of products quickly. They're assembling a team of motivated people to drive forward their vision and bring a new age of convenience to an unpredictable world.
Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data.
Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics.
Support preprocessing of unstructured assets for training pipelines, including format conversion, normalization, augmentation, and metadata extraction.
Meshy is a leading 3D generative AI company transforming content creation by enabling the creation of 3D models from text and images. They have a global team distributed across North America, Asia, and Oceania and are backed by venture capital firms like Sequoia and GGV, with $52 Million in funding.