Top Data & Analytics Jobs
As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.
The Middle Office Analyst will support both clients and the internal team by performing trade reconciliations, preparing trade confirmations, managing cash flows, and ensuring compliance during audits. This role involves collaboration with various departments and continuous improvement of operational processes.
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The Machine Learning Engineer will work on NLP projects for Grammarly's Enterprise team, focusing on building AI products and capabilities that enhance communication in organizations. The role involves applying ML technologies, collaborating with cross-functional teams, and innovating to solve technical challenges at scale.
The Machine Learning Engineer will develop new ML solutions to enhance the safety and fairness of Grammarly products, working in cross-functional teams and using state-of-the-art ML techniques. Responsibilities include building scalable ML solutions, mentoring team members, and integrating risk mitigation technology while communicating technical results effectively.
Featured Jobs
As a Senior Data Engineer at PatientIQ, you'll clean and process large datasets using SQL and Python, develop and maintain ETL processes, design scalable data pipelines, and work collaboratively with data analysts to optimize and integrate data for healthcare insights.
As a Principal Machine Learning Engineer, you will develop and implement cutting-edge machine learning algorithms and train sophisticated models, collaborating with cross-functional teams to integrate AI functionalities into Atlassian products. Your role includes designing system architectures, conducting experiments, and guiding emerging ML engineers to ensure AI's transformative potential is realized across offerings.
As a Machine Learning Engineer, you will design, build, and iterate on large-scale Machine Learning systems, working closely with cross-functional teams to personalize user experiences at Dropbox. Your role will impact millions of users and involve evaluating the performance of ML systems against business objectives.
As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.
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As a Director, Data Platform & Data Engineering at Navan, you'll lead the strategy and execution of data initiatives, manage a skilled team of data engineers, and collaborate with various departments to optimize data platforms for business intelligence and reporting. You'll ensure data integrity, security, and compliance while driving innovative solutions for the company.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
As a Staff Data Scientist at Kyruus Health, you will leverage advanced data science techniques to produce insights that help healthcare customers make crucial decisions. Your role includes identifying business opportunities, deploying machine learning models, collaborating with engineers, and promoting best practices within the data science team.
As a Revenue Operations Analyst II, you will enhance merchant lifecycle processes through automation, manage cross-functional initiatives, and develop scalable reporting solutions. You will also collaborate with various teams to improve Salesforce features and support growing revenue teams with training and resources.
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