Design scalable, data-driven solutions for prominent retail organizations.
Enhance supply chain data science initiatives through forecasting and business analytics.
Leverage advanced AI platforms to drive impactful changes across global retail ecosystems.
Jobgether uses an AI-powered matching process to ensure your application is 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.
Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks.
Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.
Rockerbox is building the next generation of marketing intelligence. They are looking for someone to help them build the AI systems everyone else just theorizes about.
Define and lead end-to-end data architecture for complex ecosystems, balancing technical depth with business outcomes.
Translate business strategy into scalable technology solutions through discovery workshops, assessments, and roadmaps.
Act as technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.
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 foster a diverse, inclusive, and safe work environment where collaboration is their superpower and diversity unites them.
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.
Design, build, and maintain scalable, high-quality data pipelines.
Implement robust data ingestion, transformation, and storage using cloud-based technologies.
Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
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 have partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work environment.
Design and own scalable, secure data architectures and pipelines across our platforms.
Collaborate closely with data engineers, analysts, MLOps Lead, AI and Data Architects, and business stakeholders, to align architecture with business needs.
Define and maintain data models, governance frameworks, reference architectures, guidelines, best practices and operating principles for our data and analytics platforms.
Redcare Pharmacy is Europe’s No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. They strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to their vision “Until every human has their health”.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality measures throughout the data lifecycle
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 have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
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.
Support production systems and help triage issues during live sporting events
Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
Integrate large and complex real-time datasets into new consumer and enterprise products
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Design, build, and maintain robust data pipelines and data models to support program outcomes, grant-funded activities, and long-term impact measurement
Develop and maintain self-service dashboards and reports that enable teams and leadership to make informed, data-driven decisions
Analyze trends and patterns across multiple datasets to surface actionable insights that guide strategy, partnerships, and program interventions
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.