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Top Data & Analytics Jobs in Raleigh, NC

1,551+ Job Results
6 Days Ago
Raleigh, NC
Remote
689 Employees
Senior level
689 Employees
Senior level
Cloud • Marketing Tech • Sales • Software
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
Top Benefits:
401-K
Company Equity
Company Outings
+31 More
6 Days Ago
Raleigh, NC
Remote
1,288 Employees
Senior level
1,288 Employees
Senior level
Automotive • Other
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
6 Days Ago
Raleigh, NC
Remote
40 Employees
135K-175K Annually
Entry level
40 Employees
135K-175K Annually
Entry level
Software
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
6 Days Ago
Raleigh, NC
Remote
517 Employees
Entry level
517 Employees
Entry level
Information Technology • Consulting
NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
6 Days Ago
Raleigh, NC
Remote
38 Employees
Entry level
38 Employees
Entry level
Software
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
6 Days Ago
Raleigh, NC
Remote
96 Employees
Senior level
96 Employees
Senior level
Software
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
6 Days Ago
Raleigh, NC
Remote
102 Employees
Senior level
102 Employees
Senior level
Fintech • Professional Services • Financial Services
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
Top Benefits:
401-K
Company Equity
Company Outings
+21 More
6 Days Ago
Raleigh, NC
Remote
1,398 Employees
Entry level
1,398 Employees
Entry level
Edtech
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
6 Days Ago
Raleigh, NC
Remote
303 Employees
120K-140K Annually
Senior level
303 Employees
120K-140K Annually
Senior level
Biotech
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
6 Days Ago
Raleigh, NC
Remote
56 Employees
160K-200K Annually
Mid level
56 Employees
160K-200K Annually
Mid level
Cybersecurity
The Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
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