Lead the research and development of machine learning models, specifically focusing on synthetic data generation and text generation. Collaborate with engineering and product teams to integrate these AI solutions into the Cint Exchange platform.
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Search = Data Scientist
The Staff Data Scientist will design and build data products to optimize cross-sell and upsell initiatives across the full funnel. They will serve as a technical advisor to GTM leadership, translating business objectives into a data science roadmap and measuring the incremental impact of their models.
You will build and scale machine learning and optimization systems to improve routing and allocation within Zillow's marketplace. You will also partner with cross-functional teams to define success metrics, evaluate model performance, and ensure production-quality code.
The Tech Lead Data Scientist will define and oversee the technical methodology for evaluating, monitoring, and optimizing AI systems in production. They will provide hands-on guidance to program teams and mentor a team of data analysts to ensure rigorous validation and performance measurement.
The Senior Data Scientist leads the end-to-end lifecycle of AI and machine learning initiatives to improve healthcare outcomes and operational efficiency. They also mentor junior staff and translate complex technical findings into actionable insights for stakeholders.
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The Lead Data Scientist will independently apply advanced AI and data science techniques to solve complex business problems within the Higher Education unit. They are responsible for developing scalable solutions, mentoring team members, and communicating technical insights to diverse stakeholders.
The Senior Data Scientist will design and build AI/machine learning models to solve complex analytical problems and deliver value for healthcare clients. They will collaborate with cross-functional teams to develop integrated analytic solutions, mentor junior staff, and present actionable insights to stakeholders.
Lead and execute HEOR and RWE projects while collaborating with internal and external stakeholders to design and interpret real-world studies. Translate complex research into clinically actionable insights for partners using advanced epidemiologic and health economic methodologies.
Develops scalable algorithms, models, and tools to extract insights from large, diverse data sets for product and operational improvements. Collaborates with internal and external teams to analyze data quality, investigate fraud, and communicate findings through reports and visualizations.
You will build models and statistical analyses to surface insights across Inspiren's systems while designing rigorous evaluations for new models. Additionally, you will integrate new datasets and incorporate AI tools into data science workflows to accelerate analysis and decision-making.
The Staff Data Scientist will own the analytical strategy for a major product area, defining success metrics and driving data-informed decisions. They will partner with product and engineering leadership to translate business problems into actionable recommendations while mentoring other team members.
The Staff Data Scientist will own the analytical strategy for a major product area, defining success metrics and driving data-informed decisions. They will act as a strategic partner to product and engineering leadership while mentoring other data scientists to elevate team standards.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. You will also analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
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You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
The Senior Data Scientist will serve as an embedded data lead to drive product strategy and decision-making through actionable insights and statistical modeling. They will also design and maintain data pipelines while collaborating with cross-functional teams to integrate AI solutions into product development.
Data Scientist / ML Engineer (Antarctica Capital)
EarthDaily Analytics
·
Full Time
·
7 Weeks Ago
EarthDaily Analytics
The role involves refactoring and improving neural network models for bond risk prediction while designing and deploying scalable machine learning systems. You will also collaborate with data scientists to translate prototypes into production-ready systems and maintain firm-wide ML infrastructure.
The Data Scientist will analyze massive customer datasets to provide actionable insights and build ML models to optimize risk management policies. They will also partner with go-to-market teams to communicate data stories that drive revenue and demonstrate product value to clients.
The Senior Data Scientist will lead advanced analytics workstreams for pharmaceutical commercialization and manage multiple concurrent projects. They will translate business questions into structured analytical approaches and mentor junior team members on coding and problem-solving.
You will build advanced AI solutions using machine learning, generative, and agentic AI technologies while driving the adoption of modern AI frameworks and cloud-native architectures. Additionally, you will collaborate with customers to translate business challenges into trustworthy AI solutions and provide technical mentorship to junior team members.
Architect and deploy end-to-end AI/ML solutions for complex healthcare challenges while managing the full machine learning lifecycle. Collaborate with cross-functional leaders to drive technical excellence and mentor data scientists to deliver measurable business outcomes.
Design and implement machine learning and statistical models for anomaly detection on large-scale manufacturing test logs. Build and deploy scalable, low-latency production pipelines for real-time detection and post-hoc root cause analysis.
The Data Scientist will build predictive models and develop proprietary software tools to identify ore-forming processes and mineral deposits. They will collaborate with geoscientists to integrate complex geoscientific data and design field programs to reduce uncertainty in exploration targets.
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You will work closely with business areas to identify opportunities and build analytical solutions such as machine learning models for pricing, credit, and fraud. Additionally, you will act as a technical reference for the team, ensuring the quality, performance, and strategic impact of implemented solutions.
The Senior Data Scientist will build the analytical and modeling foundation for member experience and contact center operations. They will unify data across systems and develop predictive models to improve operational efficiency and member insights.
You will own end-to-end data science projects across credit risk, growth, and AI initiatives, including modeling, deployment, and monitoring. You will also collaborate with lead and staff data scientists to drive research and improve business outcomes through data-driven insights.
The Applied Data Scientist will execute end-to-end client engagements by unifying datasets and building predictive models. They will also derive actionable insights and create client-ready materials for stakeholders with varying technical backgrounds.
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