Top Hybrid Data Engineer Jobs
Hiring Data Scientists to bring predictive modeling to the clinical development ecosystem by building ML predictive models for study design decisions. Main initiatives include Patient Burden, complexity modeling, and amendment prediction. Use cutting-edge technology to mine historical trial documents and build graph-based datasets for valuable insights and predictive models.
ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem, focusing on building ML predictive models for study design decisions. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.
Hiring Data Scientists to bring predictive modeling to the clinical development ecosystem. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, and implementing ML Ops. Must be familiar with Python and machine learning techniques.
.png)
Ibotta is seeking a Data Privacy Engineer to help design and implement solutions for privacy compliance obligations, analyze datasets, create best practices, and support privacy-by-design efforts. This role involves training teams, conducting audits, responding to privacy incidents, and generating privacy insights.
As a Finance Data Domain Architect Senior Associate, you will work on developing modifications to the reporting infrastructure that meet business partner needs. Responsibilities include translating business requirements into solutions, working with IT for UAT, and validating production results. Required skills include SQL, data warehousing, Business Intelligence tools, Excel analysis, and attention to detail.
Lead Critical Program Reporting in the Consumer & Community Banking (CCB) Chief Data Office. Develop and oversee process changes for data governance alignment. Build relationships with stakeholders and provide governance oversight for Data Modernization and Cloud Migration impacts.
As a Critical Program Reporting Lead, oversee established CCB Critical Programs, manage relationships, develop strategies, ensure data integrity, and provide governance oversight. Partner with stakeholders and maintain documentation for compliance and risk mitigation.
Featured Jobs
Develop, implement, and support data quality controls, strategies, policies, and standards. Define metrics for monitoring and improving data quality. Design solutions for metadata management and data steward activities. Implement improvements in architecture and team processes.
Join Square's Measurement Machine Learning team as a Senior Machine Learning Engineer specializing in attribution modeling. Build innovative ML solutions for Square's attribution system to drive growth and strategic decisions. Collaborate with various stakeholders and external data providers to enhance Square's measurement capabilities.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to join the team in expanding Square's measurement system. Responsibilities include building data science and machine learning solutions, partnering with stakeholders, and staying updated on industry advancements.
Execute Business Intelligence Solutions & Insights initiatives, interpret data, create actionable insights, and drive long-term business results. Collaborate with analytics team leaders, partner with System Analyst/Data Engineer, and maintain data analytical tools. Must have a Bachelor's Degree and 2+ years of related work experience.
Collaborate with Agile teams to design, develop, test, and implement technical solutions in full-stack development tools and technologies. Utilize programming languages like Java, Scala, Python, and work with big data technologies. Share passion for tech trends, mentoring, and delivering cloud-based solutions for financial empowerment. Perform unit tests and code reviews to ensure performance and quality.
Senior Manager, Machine Learning Engineering role at Capital One focused on designing, building, and delivering ML models for real-world business problems, leading teams, and ensuring high availability and performance of ML applications.
Collaborate with Agile teams to design and develop technical solutions in full-stack development tools and technologies, work with machine learning and microservices, stay updated on tech trends, deliver cloud-based solutions for financial empowerment, and conduct code reviews for performance optimization.
Join Takeda as a Data Governance Lead to shape and implement robust data governance solutions and processes across US stakeholders. Contribute to setting a clear vision for commercial data strategy, defining data management strategies, and collaborating with governing bodies. Assess data needs, provide guidance on data architecture solutions, and lead efforts in data asset identification and metadata management.
The Senior Machine Learning Engineer at Klaviyo will work on building foundational models to extract insights from data streams, applying cutting-edge techniques in deep learning, NLP, and recommender systems. This role involves the entire ML lifecycle from inception to production, ensuring high code quality and machine learning performance.
Lead Database Engineer responsible for translating business requirements into functional requirements, collaborating with stakeholders to build data solutions, mentoring analysts, and driving project delivery. Hybrid work model (3 days in office/2 days remote).
Top hybrid Companies Hiring Data + Analytics Roles
See All.jpg)
.png)
All Filters
No Results
No Results
