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The role involves understanding client business requirements to develop creative analytical strategies and managing teams of data scientists to deliver project outcomes. Key tasks include data cleansing, performing EDAs, building machine learning models, and presenting analytical conclusions to senior stakeholders.
Develop and implement data science and machine learning models to enhance educational platforms and personalized learning experiences. Create data visualizations and optimize ETL processes to provide actionable insights for educational stakeholders.
Design, develop, and integrate cloud-based data, analytics, and AI/ML solutions within secure defense mission systems. Optimize ETL/ELT pipelines and implement security controls to protect sensitive data and support actionable insights.
The Chief of Staff will orchestrate strategic planning, portfolio management, and operational excellence for the AI & Data Science department. They will act as a key partner to executive leadership to ensure cross-functional alignment and drive departmental priorities.
Design, develop, and deploy advanced AI and Generative AI solutions for healthcare platforms while ensuring system integration and performance optimization. Collaborate with cross-functional teams to automate workflows and maintain compliance with healthcare industry regulations.
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The role involves supporting the development, testing, and deployment of analytical and machine learning solutions to solve complex business problems. You will also assist in data preparation, feature engineering, and the creation of reports and visualizations.
The Director leads the credit risk data science roadmap, overseeing model development, validation, and deployment across underwriting and loss forecasting. They also mentor technical talent and collaborate with cross-functional teams to ensure models are scalable, governed, and aligned with business objectives.
The intern will support the development and evaluation of statistical and machine learning models for marketing measurement. They will also perform data quality checks, feature construction, and communicate technical findings to business stakeholders.
The AI Training Specialist will evaluate complex machine learning scenarios and develop statistical models to address real-world business problems. They will also write and optimize code while providing expert insights on analytical systems to both technical and non-technical stakeholders.
The Data Science Analyst will analyze complex healthcare revenue cycle data to derive strategic insights and optimize product design. They are responsible for designing and deploying AI/ML solutions and maintaining project documentation.
The Senior Manager, Data Science will lead the development of predictive models, AI-driven solutions, and data pipelines to improve operational and financial outcomes. This role functions as a player-coach, balancing hands-on technical development with the leadership and mentorship of a high-performing data science team.
The Senior Manager will lead a team of machine learning engineers and data scientists to develop and deploy styling algorithms that enhance client personalization. They will collaborate with cross-functional partners to define product roadmaps and oversee the end-to-end algorithm development lifecycle.
The lead will partner with cybersecurity stakeholders to frame complex analytical problems and develop scalable, actionable data products. They will oversee the end-to-end delivery of security analytics solutions, ranging from reusable datasets to AI-enabled tools.
The Data Science Analyst will develop and execute predictive models and algorithms to solve complex business problems. They will also create and optimize reporting while collaborating with stakeholders to provide actionable business and client insights.
The intern will develop and deploy predictive AI models and Generative AI solutions to support various business functions including R&D, Finance, and Manufacturing. They will also collaborate on full-stack development and build user interfaces to facilitate data-driven decision-making.
The faculty member will provide substantive feedback to students, maintain an inclusive learning environment, and ensure program quality. They will also collaborate with the Academic Program Director and student services to support student success and engagement.
Lead and develop the decision science and data science teams while owning the MAU driver model and growth strategy. Partner with cross-functional leaders to define metrics, experimentation standards, and AI-native operating practices.
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The Senior Manager will drive drug development by contributing to predictive modeling of disease characteristics and drug response. They will also enable and advance the processing and analysis of high-dimensional multimodal data including clinical, imaging, and genomics.
The role involves acting as a primary technical leader embedded within strategic customer accounts to deliver production-grade data science solutions. You will translate complex business needs into actionable technical approaches while driving execution and maintaining continuity across the engagement lifecycle.
The role serves as the technical-analytical point of contact for a digital marketing consulting project within the banking sector. Responsibilities include managing paid media data, producing reports, and leading complex analytical initiatives such as AI-driven automation.
Serve as the technical-analytical point of contact for clients, agencies, and internal teams regarding digital marketing projects. Lead complex analytical initiatives, including data reporting, media management, and the implementation of AI-driven automation.
You will set the strategy and roadmap for Marketing Data Science while prioritizing high-impact opportunities with key partners. Additionally, you will lead the development of core capabilities in performance marketing, brand measurement, and user insights to drive business growth.
You will set the strategy and roadmap for Marketing Data Science while leading the team in developing core capabilities across performance and brand marketing. You will also partner with cross-functional teams to deliver actionable insights that drive Firefox's growth and marketing investment outcomes.
You will set the strategy and roadmap for Marketing Data Science while leading the development of core capabilities in performance and brand marketing. You will also partner with cross-functional teams to translate data-driven insights into practical recommendations that drive Firefox's growth.
The Director will lead the data science and analytics team to transform complex data into actionable narratives that drive client strategy and business outcomes. They are responsible for scaling analytics best practices, managing team performance, and collaborating cross-functionally to innovate with AI-powered solutions.
The role involves performing linguistic quality control on French audio and text datasets to identify and categorize systematic errors. You will also analyze datasets using Python and assist in the evaluation and testing of speech-to-text models.
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You will be responsible for evaluating the feasibility of AI and predictive analytics use cases, translating business problems into machine learning solutions, and developing prototypes. Additionally, you will build, test, and validate models while providing data-driven recommendations to support decision-making processes.
The engineer will manage and administer distributed hardware and software environments, specifically focusing on Kubernetes-based data science platforms. They will also develop infrastructure as code, monitor system performance, and support complex IT system designs.
The Senior Data Science Engineer will provide applied data science expertise to help customers maximize the value of MindBridge's AI models and ensembles. This role involves configuring models, investigating behavior, and acting as a technical liaison between customers and internal product and engineering teams.
Lead the product algorithms portfolio across growth, styling, and commerce experiences to drive measurable business outcomes. Define the vision and roadmap for applying AI, machine learning, and experimentation to enhance client experiences and stylist effectiveness.
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