Top Data & Analytics Jobs
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As a Machine Learning Engineer at Navan, you will enhance the ML infrastructure, design and implement MLOps architectures, and collaborate with teams to deploy ML models. You will also focus on optimizing ML pipelines, best practices for model management, and improving workflow efficiency within a fast-paced environment.
The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.
The Senior Data Engineer (Data Engineer III) at Chewy will be responsible for designing and optimizing data systems, managing data integration and SSOT tables, providing leadership and mentorship, evaluating innovative solutions, and collaborating with strategic partners. The role requires a Bachelor's or Master's degree in a related field, at least 5 years of experience in data engineering, expertise in SQL and Python, and proven leadership and communication skills.
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As a Senior Data Scientist at Udemy, you will leverage predictive analytics and machine learning techniques to extract insights, enhance revenue growth, and support decision-making for the Customer Success and Sales teams. Collaborating with multiple stakeholders, you'll develop predictive models, optimize data workflows, and establish KPIs to enable actionable insights.
The EEO Compliance Data Specialist will gather, compile, and analyze workforce data to ensure compliance with EEO regulations. This role involves preparing reports, assisting with audits, and managing project compliance efforts related to Equal Employment Opportunity and Affirmative Action obligations.
The Sr Director - Data Analytics leads a team in delivering strategic insights and recommendations through data analysis to enhance customer experience. This role oversees predictive modeling, reporting, and data analytics strategies while advocating for data-driven decision-making across the organization.
The Senior Director of Data Analytics is responsible for leading a strategy and reporting function that enhances customer experience through complex insights and data analysis. The role involves overseeing predictive modeling, developing data analytics strategies, providing strategic recommendations, and collaborating with various departments to drive business success through informed decision making and effective use of data.
Join the Performance Models & Machine Learning Systems team at Squarespace as a Data Scientist. Collaborate with cross-functional teams to develop and deploy machine learning models for fraud detection and customer intent prediction. Stay ahead of emerging threats by monitoring and analyzing evolving tactics used by bad actors.
The Director of People Systems & Data will develop and manage the strategy for People information systems, ensuring data accuracy and compliance. Responsibilities include leading the People Data & Analytics function, optimizing systems, collaborating with various departments, managing vendor relationships, and ensuring effective data management practices.
As a Business Intelligence Specialist for the Risk Enablement team, you will analyze data to identify and mitigate risks through actionable insights. Responsibilities include preparing detailed reports, simplifying operational dashboards, collaborating across departments, and conducting ad hoc analyses to support risk management efforts.
The Principal Research Scientist will lead research initiatives on product sustainability, develop sustainability standards, analyze industry trends, and provide technical expertise and guidance on sustainability practices. This role entails collaborating with cross-functional teams and communicating research findings to stakeholders.
As an SQL Reporting and Dashboard Specialist, you will develop and maintain SSRS SQL reports, design dynamic dashboards, collaborate with law enforcement clients to document requirements, facilitate installations, conduct training, troubleshoot system functionalities, and provide consultations on data structure and reporting best practices.
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