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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.

The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models. The role involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. The position will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• 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.

• Lead predictive and descriptive analytics initiatives across various domains.
• Design research workflows and oversee full-lifecycle development of data-intensive and AI-driven applications.
• Partner with teams to translate business challenges into robust, data-backed solutions.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

• 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.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Design and implement ML models for behavior prediction, anomaly detection, and risk scoring. Develop and fine-tune transformer-based models. Partner with product and engineering to translate business problems into data science solutions.

Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization.

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.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Partner with stakeholders to translate business challenges into data science problems.
• Own the end-to-end lifecycle of data science models, from data exploration to deployment.
• Develop scalable and efficient models, balancing algorithmic complexity with business needs.

Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
• Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
• Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

• 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.

• Train and tune machine learning models.
• Explore data and conduct feature engineering.
• Apply natural language processing to understand text and aid in conversational interfaces.

BambooHR is building a people intelligence platform that transforms HR and sets people free to do great work.

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Design system and model architectures, conduct rigorous experimentation and model evaluations.
• Collaborate with product, engineering, and analytics teams to build AI functionalities.

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

• Analyze complex datasets and find insights from data.
• Create data models and ETL pipelines for robust and scalable Machine Learning systems.
• Work with distributed computing, big data frameworks, Kubernetes, and Docker.

Kinaxis powers the world’s supply chains to help preserve the planet’s resources and enrich the human experience with more than 40,000 users in over 100 countries.

Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications.

Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets.

• Design, build, and deploy predictive and prescriptive models in the cloud.
• Combine and analyze large-scale data sources to identify key performance drivers.
• Translate complex model results into clear business recommendations and present them to senior stakeholders.

SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions.

• 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.

Leverage data assets to drive strategic business outcomes, focusing on customer behavior, pricing optimization, and business forecasting. Design, build, and deploy advanced analytical models, including those for churn prediction and customer segmentation. Transform complex model outputs into interactive data applications that enable business users to make self-service, data-driven decisions.

Stensul dramatically reduces marketing content creation time - by up to 90% - so teams can better focus on improving marketing performance.