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The Data Science Lead will define the strategy and roadmap for machine learning initiatives while mentoring a team and partnering with credit leadership. This role focuses on building and shipping models, establishing delivery standards, and translating business objectives into actionable metrics.
Lead a small team of data scientists in Mexico and Brazil, building and shipping ML-powered credit models while setting technical standards and driving measurable business impact in fintech.
Job Number: R0247486 Data Scientist The Opportunity: In this role, you will apply data science techniques and met hods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter…
The Sr./Staff Data Scientist will design, develop, and optimize machine learning models to detect and prevent fraud. This role involves analyzing large-scale data patterns and collaborating across teams to ensure security and compliance.
Senior Data Scientist in Cuscal's Financial Crimes Domain, building predictive models and advancing fraud detection/prevention capabilities using large datasets.
Builds AI-driven data products and scalable pipelines using Cloud Build, Docker, and Kubeflow with GPU acceleration for domain insights.
Analyze GEOINT and intelligence data using Python and SQL to extract insights and support national security missions, applying machine learning and advanced analytics to complex datasets.
A government-focused data scientist builds predictive models and data-driven solutions for defense/intelligence programs, leveraging Python, SQL, and ML to analyze large-scale datasets and optimize mission-critical outcomes.
Data Scientist building time series models and predictive algorithms for quantum sensor systems, using Python, NumPy, Pandas, scikit-learn, and TensorFlow/PyTorch in an office/lab setting.
The Senior Data Scientist will design and deliver data-driven solutions to improve operational efficiency, system effectiveness, and data quality across Mastercard's enterprise platforms. The role involves using Python, SQL, and BI tools to analyze workflows, monitor system health, and drive process automation.
Senior Data Scientist on the Product Data Analytics team in Gurgaon, building end-to-end data solutions that blend data from Salesforce, SQL Server, AWS, and Databricks into unified, actionable insights using Hadoop/Hive/Impala, Python/Spark, and SQL.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
Data Scientist designing analytical models, algorithms, and big data processes using R, SAS, MATLAB, SQL, and Python/PHP to derive insights for semiconductor manufacturing and business teams at Applied Materials in Santa Clara.
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment…
Data Scientist designing methods to consolidate and analyze big data sources, building analytical models and algorithms using SQL, Python, R, SAS, and MATLAB at a semiconductor equipment leader in Bangalore.
Leads data engineering at Randstad, building scalable pipelines on GCP/AWS, coaching teams, and deploying ML models while ensuring security and compliance.
Senior Data Scientist at a chemical materials company applying statistical modeling, machine learning, and AI across production, R&D, SCM, and other business domains using Python/R, SQL, and ML frameworks like sklearn and TensorFlow.
This Senior Associate Data Scientist role at PwC focuses on developing advanced machine learning and statistical models to solve complex healthcare problems. The position involves leading technical projects, mentoring team members, and deploying scalable data science solutions to drive business strategy.
The Senior Specialist will develop and deliver data-driven insights for the Global Oncology Marketing team, utilizing Python, SQL, and Power BI to support pipeline and biomarker strategies. The role involves collaborating cross-functionally to translate complex oncology real-world data into actionable business recommendations.
Build predictive models and analytics to improve British Army training effectiveness using Python/R, SQL and ML, turning training data into actionable insights for senior leaders.
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