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23 Days Ago
Chicago, IL, USA
75 Employees
5-7 Years of Experience
75 Employees
5-7 Years of Experience
AdTech • Marketing Tech
Seeking a Senior Product Manager with 10-14 years of experience in AI/ML product development. Responsibilities include roadmap development, product design, and engagement with executive stakeholders to deliver high-level analytics solutions. Requires strong consulting, leadership, and problem-solving skills.
23 Days Ago
United States
Remote
75 Employees
5-7 Years of Experience
75 Employees
5-7 Years of Experience
AdTech • Marketing Tech
Tiger Analytics is seeking an experienced Machine Learning Engineer with 5-7 years of IT experience. Responsibilities include pipeline training models, building, deployment, testing, monitoring, developing Airflow DAGs, testing frameworks with Pytest, implementing monitoring solutions, and developing data quality solutions.
23 Days Ago
Mexico City, Cuauhtémoc, Mexico City, MEX
75 Employees
7+ Years of Experience
75 Employees
7+ Years of Experience
AdTech • Marketing Tech
As a Talent Acquisition Specialist at Tiger Analytics, you will play a pivotal role in shaping the organization by identifying and attracting top talent, developing and executing recruitment strategies, and leading a high-performing recruitment team.
23 Days Ago
Dallas, TX, USA
75 Employees
7+ Years of Experience
75 Employees
7+ Years of Experience
AdTech • Marketing Tech
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, and have experience building self-service dashboards.
23 Days Ago
Richardson, TX, USA
75 Employees
1-3 Years of Experience
75 Employees
1-3 Years of Experience
AdTech • Marketing Tech
Seeking a talented and experienced Automation Architect with expertise in Azure, UiPath, and RPA. Responsibilities include collaborating with stakeholders, leading UiPath automation projects, utilizing RPA knowledge, providing technical guidance, and staying current with emerging technologies.
23 Days Ago
Charlotte, NC, USA
75 Employees
3-5 Years of Experience
75 Employees
3-5 Years of Experience
AdTech • Marketing Tech
The Data Engineer will be responsible for building scalable and cost-effective data pipelines, data lakes, and analytics systems. Key responsibilities include data ingestion, transformation, storage, processing, monitoring, optimization, integration, documentation, scalability, cost management, and troubleshooting.
23 Days Ago
Wilmington, DE, USA
75 Employees
5-7 Years of Experience
75 Employees
5-7 Years of Experience
AdTech • Marketing Tech
The Sr Manager/AD Consulting - Marketing & Campaign will be responsible for marketing and campaign management in the consumer lending and cards business. They will oversee end-to-end campaign execution, apply data science techniques, collaborate with stakeholders, and deliver analytic solutions to drive business value.
24 Days Ago
Chicago, IL, USA
75 Employees
5-7 Years of Experience
75 Employees
5-7 Years of Experience
AdTech • Marketing Tech
Responsible for Architecture, Designing and implementing best data practices on the Azure platform. Must have expertise in Azure technologies and data management principles. Strong communication and teamwork skills are essential.
24 Days Ago
Piscataway, NJ, USA
75 Employees
7+ Years of Experience
75 Employees
7+ Years of Experience
AdTech • Marketing Tech
Looking for a Product Engineer with expertise in Data Analytics and Data Engineering. Must have 10+ years of experience in the field, strong API development background, knowledge of multiple programming languages, and experience with cloud applications.
24 Days Ago
United States
Remote
75 Employees
3-5 Years of Experience
75 Employees
3-5 Years of Experience
AdTech • Marketing Tech
The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities using Azure stack. This includes batch and streaming analytics, machine learning models, and data ingestion pipelines.
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