Top Hybrid Senior Level Data & Analytics Jobs

The Senior/Lead Data Scientist for Marketing Analytics will build and maintain predictive models, analyze data trends, and provide insights to enhance business decisions. Responsibilities include developing complex analytic frameworks, overseeing model recalibration, and creating new analytic procedures. Communication and coordination across teams are also key tasks.

As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.

As a Structural Analyst III/IV, you will perform structural analyses for space electro-mechanical systems, working closely with design teams to ensure optimization and testing support. Responsibilities include manipulating finite element models, interpreting results, documenting engineering processes, and mentoring junior engineers.

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.

As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.

The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.

As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.