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Lead Data Scientist responsible for developing and implementing quantitative solutions to prevent identity theft and fraud at USAA. Partner with internal teams to deploy machine learning models and graph analytics techniques. Work on financial crimes graph database strategy, identify criminal networks engaging in fraud, and integrate new data sources for improved predictive power.
Lead Data Scientist role focusing on evolving the business into an insights-driven organization with advanced data science solutions to drive competitive advantage and improve operations. Responsibilities include formulating data science problems, leading data science projects, statistical modeling, machine learning, AutoML, establishing machine learning foundation, experimentation, and data management.
As a Staff Data Scientist, you will lead data science projects, mentor junior team members, and collaborate with stakeholders to build models for customer segmentation and marketing algorithms. You will analyze complex business problems using large datasets and develop solutions to drive actionable insights.
Data Scientists develop and maintain AI software for Hitachi High-Tech. Responsibilities include writing algorithms in machine learning, analyzing data, resolving software issues, designing user interfaces, and conducting tests. They collaborate with service engineers and participate in various software development activities.
The Data Scientist will analyze and transform complex datasets, develop machine learning algorithms, design statistical models, and communicate insights through data visualizations. Responsibilities include working with cloud analytic platforms and integrating solutions into business processes while collaborating with stakeholders.
The Staff Data Scientist on the Anti-Cheat team will develop models and maintain automated systems to detect and mitigate cheating in games. Responsibilities include analyzing challenges, designing feature sets, mentoring junior staff, optimizing ETL pipelines, and collaborating with stakeholders and data engineers.
As a Senior Data Scientist at Empirico, you will analyze large-scale human genetics data to identify therapeutic targets. Collaborating with a multidisciplinary team, you will build computational pipelines, implement analytical methods, and visualize genetic datasets, contributing to drug discovery efforts.
The Senior Data Scientist - Technical Lead will develop integrated AI models for IoT devices, own the technical vision for data science, and collaborate with teams to create innovative AI/ML solutions. Responsibilities include data analysis, model deployment, and driving AI projects for impactful results.
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As a Data Scientist, you will develop analyses and mathematical models for rider pricing at Lyft, working on optimization and prediction challenges. You'll collaborate with various teams to use data insights to drive decisions, establish performance metrics, and enhance rider and driver experiences.
The Data Scientist & Researcher will develop bioinformatics algorithms for genetic analysis software, maintain applications for data processing, and analyze bioinformatics data. Responsibilities include implementing alignment analysis for forensic genetics, retrieving information from various databases, and improving detection methods for genetic data accuracy.
The AI Senior Data Scientist will develop and deliver Generative AI solutions, collaborating with cross-functional teams. Key responsibilities include applying advanced AI techniques, ensuring high-quality data integrity, coaching junior members, and designing innovative solutions to complex business problems.
As a Senior Data Scientist at Lyft, you will develop mathematical models and algorithms for optimizing fulfillment in ridesharing. You will collaborate with cross-functional teams, perform data analysis, build machine learning models, and communicate findings to enhance ride-matching algorithms and improve user experiences.
As a Data Scientist in Trading Operations, you will be responsible for deriving insights from complex datasets, ensuring data correctness, identifying production anomalies, and automating analyses for ongoing monitoring within the Quantitative Trading Strategy team.
As a Senior Data Scientist, you will design, implement, and maintain recommendation systems, using machine learning and predictive analytics. You'll collaborate with business stakeholders, optimize models, and communicate complex concepts to non-technical teams while ensuring timely project execution.
As a Senior Data Scientist, you will design, implement, and maintain recommendation systems, utilizing machine learning and predictive analytics. You'll collaborate with business stakeholders to leverage data science for decision-making, optimize models for predictive accuracy, and communicate complex concepts to non-technical audiences.
The Senior Data Scientist will develop and lead machine learning and statistical efforts to address business challenges, analyze large datasets for trends and anomalies, and collaborate with stakeholders to deliver data-driven solutions. Responsibilities include creating ML models and enhancing data processes.
As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.
As a Data Scientist at Demandbase, you'll contribute to machine learning projects that enhance the B2B buyer journey, analyze large datasets, develop and refine models, and collaborate across teams to integrate insights into workflows. You will present findings to various stakeholders using data visualizations.
The Data Scientist will support data collection, prioritize ingestion of new data, and handle various databases in a fast-paced environment. Responsibilities include managing data applications, scripting, and utilizing AI and statistical skills to generate reports.
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As a Senior Data Scientist at Slingshot, you will develop machine learning algorithms, create predictive models, build simulation datasets, and lead data science product development. You will collaborate within a diverse team to deliver insights and publications that contribute to space sustainability solutions.
The Data Scientist will research, design, and develop data systems and architectures, leveraging high-performance computing for integration. The role involves recommending technologies to meet organizational needs while ensuring compliance with DoD security practices.
As an Associate Data Scientist, you will design and implement machine learning algorithms, analyze large datasets, build data pipelines, and collaborate with teams to integrate models into production. You will also stay updated with advancements in the field and contribute to a culture of innovation within the team.
As a Senior Data Scientist at Attentive, you'll lead the development of machine learning models and statistical analyses to enhance AI products. Responsibilities include designing experiments, interpreting data, collaborating with teams, and presenting insights to senior leadership to drive strategy and improve product performance.
As a Senior Data Scientist in Computational Biology, you will integrate and analyze omics data, ensure data quality through bioinformatics pipelines, conduct biological analyses to support drug discovery, and communicate results effectively across various teams. You will contribute to target identification and validation, collaborating with multi-disciplinary experts in the field.
The Data Scientist will support USINDOPACOM by analyzing data requirements, developing algorithms and models, and visualizing data insights. Responsibilities include collaborating with directorates, ensuring data quality, developing a data strategy, and communicating findings to stakeholders.
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