Top Senior Level Data & Analytics Jobs in Chicago, IL
Seeking a Deep Learning Research Scientist to create novel deep learning systems with a focus on open source projects. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda. Must have a master's degree in Computer Science or related, 5+ years of deep learning experience, strong background in deep learning theory and techniques, and proficiency in Python.
Hiring a Staff Data Scientist to lead the programmatic ads business at Cash App, focusing on optimizing marketing efforts, analyzing large datasets, and building strategic partnerships with product and sales teams. Responsible for driving growth and decision-making through data-driven insights and modeling techniques.
Seeking an experienced Analyst Relations practitioner to drive the execution of the company's AR strategy, nurture relationships with industry analysts, and collaborate with key stakeholders to deliver results. This role involves creating and managing positive relationships, executing AR programs, advising on analyst contributions to marketing campaigns, and maintaining a data-driven analyst relations program.
Manage SAP SuccessFactors data migration and integration implementations using SAP Business Technology Platform. Provide specialized SAP SuccessFactors product and implementation solutions to clients for achieving defined business outcomes.
Senior Manager role in SAP Human Capital practice focused on delivering business-led, technology-enabled change for clients through SAP applications. Responsibilities include leading data migration implementations, full life-cycle implementations of SAP SuccessFactors, and providing specialized consultation to achieve business outcomes.
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Seeking a Senior Data Engineer passionate about testing data, enhancing datasets, and building data products. Responsibilities include working with SQL, Python, ETL/ELT pipelines, and collaborating on development activities. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and familiarity with continuous integration. Bachelor's degree in a technical field preferred. Company focuses on free access to information with an emphasis on privacy and security in advertising and media measurement optimization.
Provide expert knowledge in designing, implementing, maintaining, and supporting Workday modules. Identify opportunities to maximize system accuracy and efficiency. Optimize system effectiveness and functional processes through program configuration. Anticipate and provide data reporting needs from business partners. Resolve tier two escalations for Workday and Kronos. Partner with HR CoEs to translate end user needs into system requirements. Provide technical support for new HR system implementation. Strong vendor management skills.
Seeking a Sr Director to lead and oversee the company's entire employee lifecycle, transform the employee experience, and evolve Global Mobility and People Analytics vision and strategy. Responsible for developing and scaling a thriving global team and driving strategic people services initiatives. Must be driven to help the people services team thrive and create a world-class employee experience. Opportunity to partner closely with leadership and innovate using technology, specifically Tableau, for data analytics.
Seeking a Sr Manager, Data Loss Prevention to manage the DLP team, program strategy and roadmap, and operations. Responsibilities include overseeing DLP Operations Team, driving implementation of DLP technologies, communication with stakeholders, and ensuring DLP technology decisions align with legal and regulatory changes.
Seeking a dynamic and analytical Senior Transportation Analyst responsible for analyzing carrier rates, driving cost reduction initiatives, and optimizing transportation operations. Collaborate with internal and external teams to implement rate changes, improve cost capture processes, and build dashboards for tracking KPIs using SQL and data visualization tools.
Transforming traditional relational and complex multimodal data sources into pipelines for downstream systems. Designing and implementing scalable data processing systems, educating teams, and mentoring junior members. Working with AI, Platform, and Business Analytics teams to address ML/AI needs.
Lead a team of data scientists and engineers in developing and implementing data strategies aligned with business objectives. Oversee the transformation of on-prem data warehouse to a modern datalake on Google BigQuery. Drive discussions on data governance, quality, and security standards.
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