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Top Hybrid Data Science Jobs
Cloud • Fintech • Machine Learning • Analytics • Financial Services
As a Lead Data Science Analyst, you will analyze and interpret large data sets to provide insights that drive business growth. Responsibilities include collaboration with cross-functional teams, development of advanced analytics and machine learning algorithms, reporting, and performance tracking.
Top Skills:
SQL
Cloud • Fintech • Machine Learning • Analytics • Financial Services
The Senior Data Science Analyst will execute analytical initiatives, solve business problems using techniques such as segmentation and machine learning, create dashboards to monitor performance, and manage risks. The role involves collaborating with partners to deliver analyses, improve processes, and automate reporting efficiently.
Top Skills:
PythonSnowflakeSQLTableau
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Senior Applied Research Scientist, you will leverage AI/ML expertise to integrate advanced technologies, build and scale Large Language Models, and collaborate with a team to deliver innovative AI solutions for enterprise customers.
Top Skills:
Python
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Principal Research Scientist/Engineer at ServiceNow will lead the development of operational solutions for Large Language Models (LLMs) in hybrid cloud environments. This role focuses on creating AI experiences that enhance customer workflows, collaborating with diverse teams, and contributing to scalable ML services and data processing pipelines.
Top Skills:
AIMl
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
The Data Scientist will contribute to projects involving data science, machine learning, and artificial intelligence, focusing on innovative solutions for space applications. Responsibilities include technology evaluation for mission-critical applications, experiment development, collaboration with teams, and presenting results to stakeholders while maintaining a commitment to ongoing education in data science and AI.
Top Skills:
Python
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
As a Data Engineering Specialist, you'll design, develop, and maintain efficient data pipelines and platforms for analysis and reporting, collaborate with various teams to implement cutting-edge data solutions, and architect data infrastructure to drive mission-critical decisions for aerospace and its customers.
Top Skills:
CC++JavaJavaScriptPythonTypescript
Featured Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
As Manager of Data Science, you'll develop analytics products and deliver insights that impact business outcomes by leveraging AI/ML solutions. You'll focus on creating scalable solutions, conducting A/B testing, and utilizing statistical methods to optimize strategies, while collaborating with cross-functional teams to drive data-driven decision-making.
Top Skills:
PythonRSQL
Enterprise Web • Fintech • Financial Services
As a Data Scientist, you will lead the integration of AI within data collection applications at Morningstar. Responsibilities include automating data collection processes, collaborating with analysts, designing ML/AI solutions, and improving workflows. The role involves strong development skills and requires knowledge in NLP and AI technologies.
Top Skills:
Python
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
The Mid-level Data Scientist at BAE Systems will conduct data analytics and engineering in a classified environment, creating data packages, extracting features from varied data sources, and leveraging algorithms for text and audio analysis, while adhering to classification guidelines.
Top Skills:
JavaPythonRScala
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
The Computer Scientist will work in a classified environment, providing expertise in OSINT capabilities, machine learning algorithms, and data management. Responsibilities include data integration, algorithm development, and assisting in the design and implementation of database systems for intelligence analysis.
Top Skills:
Artificial IntelligenceData EngineeringData MiningMachine LearningMathematicsStatistics
Financial Services
As an Applied AI ML Senior Associate, you will develop machine learning solutions, experiment with advanced ML models, and collaborate with engineering teams to productionize solutions. Responsibilities include optimizing ML workflows, conducting experiments, and integrating Generative AI within the ML Platform.
Top Skills:
CC++JavaPython
Financial Services
The AI ML Senior Associate at JPMorgan is responsible for designing and developing machine learning models to enhance customer experiences in the card business. The role involves collaboration across departments, leveraging machine learning technologies, and communicating insights to management. Key tasks include implementing models and ensuring their fairness and explainability.
Top Skills:
Python
Financial Services
The Credit Support Analyst evaluates compliance with credit agreement terms, interprets financial covenants, performs credit analysis, and monitors borrower compliance. The role necessitates calculation of financial metrics and understanding of secured lending products, ensuring proper evaluation and reporting within the designated portfolio.
Top Skills:
Excel
Yesterday
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves engaging in data analysis and contributing to client projects using Python and SQL. You will develop skills to deliver quality work, build client relationships, and utilize critical thinking to interpret data for insights. Responsibilities include embracing challenges, expanding technical knowledge, and understanding the evolving business context.
Top Skills:
PythonRSAS
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The postdoctoral role involves developing amorphous solid dispersions and optimizing manufacturing processes through advanced characterization techniques. Key responsibilities include planning and conducting experiments, collaborating with interdisciplinary teams, and publishing research findings in high-impact journals.
Top Skills:
Chemical EngineeringChemistryMaterials SciencePharmaceutical Sciences
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
As a Lead Data Scientist for Parts Pricing, you will provide thought leadership in machine learning and AI, guiding data-driven business decisions and insights. You will support data management processes, define data analyses requirements, research algorithms, and coach junior data scientists.
Top Skills:
PythonSQL
Top hybrid Companies Hiring Data + Analytics Roles
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