Top Data & Analytics Jobs
As a Senior Data Scientist, you will develop fraud detection models, research new fraud types, maintain data quality, and write production code while collaborating across teams. This role requires deep domain expertise and the ability to drive product development and provide analytical insights to enhance sales and marketing efforts.
As a Senior Machine Learning Engineer, you will research, develop, deploy, and monitor ML models to enhance patient engagement and outcomes. You will collaborate with software engineers to create scalable software and infrastructure, translating business objectives into machine learning problems and analyzing user data to optimize treatment processes.
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As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
As a Technical Product Manager at Stack Overflow, you'll lead initiatives within the Data Team, focusing on enhancing search performance through Machine Learning and Natural Language Processing. You'll work collaboratively with Data Scientists and Engineers to leverage unique data insights to improve developer experiences and product offerings.
As a Data Scientist at Pinterest, you will utilize quantitative modeling and statistical methods to solve complex engineering challenges. Collaborating with cross-functional teams, you'll develop best practices for experimentation, build analysis pipelines, and provide crucial insights that influence product development.
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The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.
As a Machine Learning Engineer, you will be responsible for leading the development and deployment of machine learning models to assess business risks. You will analyze large data sets from various sources to derive insights and work closely with product and software teams in an agile environment.
As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess business risks. The role involves working with both structured and unstructured data and requires collaboration with Product Management and Software Engineers. Team members have ownership over projects and operate in two-week sprints.
Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.
The Manager of Applied AI and Data Sciences oversees the development and management of AI tools and data sciences projects, collaborates with technology and business teams, evaluates and selects AI solutions, and provides ongoing support while leading strategic initiatives and mentoring staff.
The Senior Machine Learning Engineer will lead the framing, development, and deployment of machine learning models at scale for understanding business risk. This role involves turning vast amounts of structured and unstructured data into insights and requires collaboration with Product Management and Software Engineers.
The Senior Data Scientist will design and develop predictive models, analyze complex data using advanced analytics, and collaborate across teams to influence business strategies. Responsibilities include maintaining data sets, creating reports and projections, and applying innovative methodologies to enhance Humana's services.
As a Machine Learning Engineer, you will lead the development and deployment of machine learning models, analyzing structured and unstructured data to understand business risks. You will collaborate closely with Product Management and Software Engineers, overseeing your projects and ensuring effective delivery during two-week sprints.
Lead the development and deployment of machine learning models to assess business risks. Involve transformation of large datasets into insights, working collaboratively with Product and Software Engineering teams in a sprint-based environment.
The Data Scientist I will develop algorithms for The Trade Desk's real-time bidding platform, focusing on deep learning projects. Responsibilities include working with large datasets, ensuring low latency and high throughput, as well as collaborating with engineering teams throughout the product lifecycle.
As a Senior Machine Learning Engineer for Mozilla's 0din program, you will conduct research, develop security tools for LLMs, engage with researchers, and present findings effectively. Your work will play a role in ensuring the safety of AI technologies by identifying vulnerabilities and collaborating with the community.
The Senior Machine Learning Engineer will advance AI security by creating innovative processes to harden security in machine learning applications, engaging directly with researchers, and producing technical content for various audiences. The role involves independent research, community engagement, and driving innovation in the field of AI security.
The Senior Data Scientist leads the design and development of AI solutions, evaluates algorithms, communicates insights, develops customized models, identifies data-driven opportunities, and maintains expertise in advanced technologies to meet business objectives and enhance productivity.
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As a GenAI Research Scientist at Databricks, you will advance AI technologies by innovating techniques that enhance large-scale LLMs. You will work collaboratively to develop new methods to improve model capabilities and communicate findings, all while ensuring user success and democratizing AI access.
The AI Solution Manager role involves leading C3 AI teams to deliver AI/ML applications, collaborating with federal agencies to identify use cases, and contributing to product strategy. Responsibilities include project management, technical problem solving, and delivering presentations to senior stakeholders, with frequent travel required.
The Staff Machine Learning Engineer will research, prototype, optimize and deploy perception algorithms for autonomous vehicles. Responsibilities include training large-scale deep learning models, optimizing compute resource utilization, and collaborating with software and test teams on development.
The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.
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