Top Data & Analytics Jobs
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.
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 Customer Success Analytics Lead will enhance business intelligence for Customer Success and Retention strategies by managing data, automating reports, analyzing customer behavior for retention opportunities, and collaborating across teams to implement data-driven strategies. They will also communicate insights and reports to leadership.
As a Senior Data Scientist at Udemy, you will influence key business decisions through data insights, serve as a subject matter expert for the data science roadmap, define metrics, build dashboards, and improve data pipelines. Collaboration with product managers, designers, engineers, and other data scientists is crucial for enhancing on-platform tools for instructors.
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 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 Senior Data Scientist in Marketing Analytics will collaborate with the Marketing team to enhance the ROI of marketing initiatives through statistical modeling, machine learning, and data mining. Responsibilities include leading Media Mix Models, establishing marketing measurement frameworks, performing in-depth marketing performance analyses, and developing dashboards to communicate insights.
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 Staff Machine Learning Engineer, you will design and develop scalable machine learning and deep learning applications, work on generative AI projects, lead cross-functional initiatives, and mentor team members for Udemy's learning platform.
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