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Top Remote Data Science Jobs in Provo, UT

5 Days Ago
USA
Remote
78 Employees
Senior level
78 Employees
Senior level
Big Data Analytics
As a Senior Data Scientist at Amperon, you will implement data validation processes, build advanced time series forecasting models, create features to enhance forecasting accuracy, monitor model training, evaluate performance, and deploy models into production environments, all while analyzing energy consumption data.
202 Employees
Information Technology
phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.
Top Benefits:
401-K
Company Outings
Dental Insurance
+12 More
5 Days Ago
United States
Remote
1,900 Employees
Senior level
1,900 Employees
Senior level
Information Technology • Other
The Staff Data Scientist will lead the design, development, and deployment of advanced AI models, collaborating with cross-functional teams to enhance autonomous endpoint management capabilities. Responsibilities include analyzing data patterns, developing machine learning algorithms, ensuring AI model guardrails, and optimizing model performance in real-world applications.
5 Days Ago
US
Remote
2,721 Employees
60K-80K Annually
Junior
2,721 Employees
60K-80K Annually
Junior
Biotech
The Associate Revenue Cycle Analyst will manage revenue cycle projects, drive performance in reimbursement operations, perform analysis to identify trends and improvement areas, and collaborate with various departments to enhance revenue cycle performance. They will also develop workflows and track key metrics.
5 Days Ago
9 Locations
Remote
326 Employees
Senior level
326 Employees
Senior level
Sports
The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.
5 Days Ago
United States
Remote
45 Employees
Mid level
45 Employees
Mid level
Fashion • Information Technology • Retail • Wearables
The Data Scientist will design and optimize 3D data collection and computer vision technologies. Responsibilities include implementing algorithms, developing software for data processing and visualization, and collaborating with teams for project objectives while staying updated on technological advancements.
5 Days Ago
USA
Remote
372 Employees
60K-75K Annually
Mid level
372 Employees
60K-75K Annually
Mid level
Edtech
Data Specialists manage data exports and imports, perform quality assurance, and assist clients with technical support. They analyze and validate data while ensuring compliance with client schedules. The role involves client training and maintaining effective communication for troubleshooting and reporting purposes.
5 Days Ago
United States
Remote
115 Employees
Mid level
115 Employees
Mid level
Software
The Revenue Operations Analyst will optimize the tools and processes for the sales and post-sales teams, manage reporting and insights, execute projects, and collaborate cross-functionally to improve business operations and efficiency.
6 Days Ago
United States
Remote
158 Employees
Expert/Leader
158 Employees
Expert/Leader
Travel
As a Principal Data Scientist, you will develop machine learning models for pricing optimization and demand forecasting in the hotel industry. Leading projects and guiding junior team members, you will apply statistical and machine learning techniques to inform strategic decision-making and enhance revenue management offerings.
Top Benefits:
401-K Matching
Adoption Assistance
Commuter Benefits
+20 More
6 Days Ago
United States
Remote
793 Employees
118K-133K Annually
Mid level
793 Employees
118K-133K Annually
Mid level
AdTech
The Data Scientist (Product) will leverage statistical tools and machine learning to build innovative data solutions aimed at enhancing the marketing performance of clients. Responsibilities include designing workflows, developing models, maintaining data science processes, and collaborating with cross-functional teams to visualize and operationalize data insights.
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