Top Data & Analytics Jobs
The Senior Data Scientist will collaborate with the Marketing team to enhance marketing ROI by leveraging statistical modeling, experimentation, and data visualization. Responsibilities include analyzing marketing performance, developing dashboards, and engaging in customer segmentation to inform strategic decisions.
The Senior Staff Data Scientist will work closely with the Marketing team to enhance marketing initiatives through statistical modeling and machine learning. Responsibilities include implementing Media Mix Models, conducting performance analysis, building attribution models, and developing dashboards to communicate insights. Staying updated with industry trends and technologies is also crucial.
The Staff Data Scientist will develop user lifecycle and segmentation models, create Tableau dashboards, build data pipelines, and collaborate with stakeholders to drive data-driven decision-making. This role requires strong analytical problem-solving skills and the ability to present insights to both technical and non-technical audiences.
As a GRC Analyst, you will assist the GRC team in achieving compliance with third-party certifications, manage documentation, coordinate audits, collaborate across teams, interact with customers on compliance inquiries, evaluate GRC processes, and monitor compliance with regulatory changes.
The Staff Data Scientist will collaborate with product managers and engineers in the Globalization pod, driving data-informed decision-making and analyzing data to support international business goals. Responsibilities involve building metrics and dashboards, conducting ad hoc analyses, and enhancing user engagement through experimentation and A/B testing.
As a Senior Data Scientist, you will create scalable machine learning algorithms for search optimization, focusing on real-time conversational systems. Responsibilities include developing data models, implementing evaluation strategies, building complex data pipelines, and conducting A/B tests to enhance Udemy’s search product.
The role involves developing and implementing machine learning and deep learning solutions at scale, mentoring team members, collaborating on product development, and identifying opportunities for improvement in model architectures. It requires leading complex projects autonomously and ensuring technical quality.
The Data Scientist will work with the Pricing & Promotions team to optimize pricing strategies through data analysis, A/B testing, and collaboration with cross-functional teams. Responsibilities include data-driven decision-making, developing pricing experiments, and creating dashboards for revenue maximization.
The Senior GTM Analyst will support Marketing and Sales teams by analyzing data to drive marketing strategies and revenue growth. Responsibilities include developing GTM strategies, tracking marketing KPIs, monitoring campaign performance, and providing insights to improve effectiveness. This role demands strong analytical skills, collaboration with cross-functional teams, and a focus on operational excellence.
As a Revenue Analyst, you will support the month-end close, analyze SaaS revenue contracts, allocate revenue according to ASC 606, and collaborate with sales, billing, and collections teams to resolve revenue-related issues while ensuring effective communication across the organization.
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