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Top Hybrid Senior Level Data & Analytics Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Data Scientist will lead sampling studies, analyze compliance risks, and communicate insights to influence strategic actions across teams.
Top Skills:
LookerPythonSQLTableau
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead analytics for growth strategy, focusing on customer acquisition, paid marketing measurement, and cross-functional collaboration to drive business growth.
Top Skills:
LookerModeSQLTableau
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Analyze advertising performance and market data, design KPIs, manage data product development, and communicate insights to stakeholders to drive media revenue growth.
Top Skills:
Advanced Analytics TechniquesPythonSQLStatistical Knowledge
Machine Learning • Payments • Security • Software • Financial Services
As a Data Manager Sr, you'll manage organizational data, ensure quality service delivery, lead data analysis, and monitor integrity and policies.
Top Skills:
Business IntelligenceData AdministrationData AnalyticsData ArchitectureData GovernanceData MiningData ScienceData WarehousingInformation ManagementMachine Learning
Featured Jobs
eCommerce • Fintech • Real Estate • Software • PropTech
The Senior Decision Scientist leads analytical efforts by partnering with various teams, developing metrics, and improving decision-making through data insights and A/B testing.
Top Skills:
LookerModeSQLTableau
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As Director of Data Science, lead cross-functional teams in developing machine-learning solutions, driving technical innovation and operational excellence while enhancing user experience.
Top Skills:
PythonPyTorchSQLTensorFlow
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
As a Senior Data Analytics Engineer, you will collaborate with various teams to understand data needs, design data models, automate requests, and build dashboards. Your role will ensure data quality and lead best practices in a rapidly growing environment focused on early cancer detection technologies.
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a data science team to enhance model strategies and outcomes in Risk Management. Oversee the development and evaluation of machine learning models and collaborate with cross-functional teams.
Top Skills:
AWSMachine LearningPythonRRelational DatabasesScala
Fintech • Machine Learning • Payments • Software • Financial Services
As a Lead Data Engineer, you will design, develop, and support solutions in a collaborative environment, leveraging cloud technologies and programming languages, while mentoring your team and enhancing business solutions.
Top Skills:
AWSEmrGCPGurobiHadoopHiveJavaKafkaLinuxAzureMySQLNosql DatabasesOpen Source RdbmsPythonRedshiftScalaSnowflakeSparkUnix
Fintech • Machine Learning • Payments • Software • Financial Services
As a Data Scientist, you will build machine learning models and collaborate with cross-functional teams to deliver innovative products using various technologies, supporting data-driven decision-making.
Top Skills:
AWSCondaH2ONatural Language ProcessingPythonSparkSQL
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Manage a team of data scientists to drive analytics for advertiser success, deepen advertiser understanding, and support sales initiatives.
Top Skills:
PythonSQL
AdTech • Big Data • Digital Media • Marketing Tech
The Senior Data Analyst will analyze large datasets, investigate threats in the digital advertising ecosystem, and communicate insights through reports and presentations.
Top Skills:
EsxPythonRegexSQLVMwareYara
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.
Top hybrid Companies Hiring Data + Analytics Roles
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