Top Hybrid Data & Analytics Jobs
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The Director of Advanced Analytics at FanDuel will lead a team analyzing customer experience in online sportsbook products, focusing on journey mapping and KPI monitoring. Responsibilities include developing insights to guide strategic decisions, enhancing customer satisfaction, and implementing data-driven strategies.
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Seeking an experienced Senior Data Scientist to lead client-facing project delivery, develop advanced machine learning models, and drive data-driven decision making. Responsibilities include identifying AI-ready use cases, designing and implementing ML models, collaborating with teams, leading projects, and educating stakeholders. Qualifications include a Bachelor's or Master's degree in a related field, 5 years of data science experience, proficiency in Python and relevant libraries, and experience with cloud platforms and ML algorithms.
The Senior Data Engineer will design, build, and support modern data environments in cloud settings. Responsibilities include creating data pipelines, managing data processing systems, and developing scalable data solutions using various tools. The role involves close collaboration with project teams and leadership to deliver analytics and machine learning capabilities.
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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
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Develop unique capabilities and applications using advanced machine learning techniques, conduct experiments, optimize algorithms, analyze datasets, and stay up-to-date with latest research in generative AI & ML.
As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.
The Malware Analyst will identify, analyze, and mitigate malicious software threats affecting the Public Services Sector. Responsibilities include researching malware, analyzing its impact, identifying indicators of compromise, and using specialized tools for vulnerability assessments, all while conveying findings in written and verbal formats.
The Technical Writer/Data Analyst is responsible for developing clear documentation, analyzing large data sets, and creating visual representations of data. This role involves collaborating with various teams to support analytics requirements and ensuring data accuracy while creating engaging content that simplifies complex information.
Passionate and experienced data engineer needed to design, build, and maintain core data infrastructure at Aircall. Responsible for enhancing data stack, implementing best practices for data management and security, and leading the data engineering efforts to support company metrics and goals. Must mentor junior team members and collaborate with cross-functional teams to drive efficiencies in data processing and storage.
As a Senior Data Analyst, you will provide insights to product and business teams, drive analytics projects for customer engagement, and collaborate across functions. You will establish best practices in analytics, mentor team members, and help influence major decisions with data.
As a Marketing Science Analyst, you will collect and analyze consumer behavior data, develop statistical models, and collaborate with teams to create insights that improve business performance. You'll use analytics to drive decisions and communicate findings through presentations.
As a Senior Marketing Science Analyst, you will lead the development and execution of analytic programs for customers, helping them understand their target audience and optimize marketing strategies. This role involves building models from data, providing actionable insights, maintaining client relationships, and mentoring junior analysts.
As a Staff Research Scientist, you will define research projects, design and implement experiments for novel algorithms, interpret results, and partner with product teams to transition research to production while advancing machine learning techniques in a collaborative environment.
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The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.
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