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Top Entry Level Data Science Jobs in Memphis, TN

6 Days Ago
USA
Remote
67 Employees
75K-150K Annually
Entry level
67 Employees
75K-150K Annually
Entry level
Sports • eSports
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
7 Days Ago
United States
Remote
1,651 Employees
Entry level
1,651 Employees
Entry level
News + Entertainment
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
9 Days Ago
United States
Remote
369 Employees
Entry level
369 Employees
Entry level
Marketing Tech • Analytics
As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.
9 Days Ago
USA
Remote
8,399 Employees
100K-115K Annually
Entry level
8,399 Employees
100K-115K Annually
Entry level
Biotech
The Field Application Scientist role at Cytiva involves providing technical support to sales teams and customers, managing leads, conducting training, and enhancing account relationships in the Nano Medicine sector. The position requires developing product knowledge and contributing to team goals within a remote work environment.
10 Days Ago
United States
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.
11 Days Ago
United States
Remote
39 Employees
110K-140K Annually
Entry level
39 Employees
110K-140K Annually
Entry level
Software
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
11 Days Ago
United States
Remote
52 Employees
Entry level
52 Employees
Entry level
Software
The Sleep Expert will write meditation scripts, record calming audio, and collaborate with the content team to create engaging meditation programs. This role requires research on mindfulness trends and audience needs, alongside editing scripts based on feedback.
13 Days Ago
United States
Remote
1,441 Employees
Entry level
1,441 Employees
Entry level
Healthtech • Information Technology • Software
The EDI Implementation Analyst II will manage technical system installations, assist clients in accessing services, map data, create documentation, and train users. They will also troubleshoot functionality, document issues, and provide feedback for product improvement, working collaboratively with clients and internal teams.
13 Days Ago
United States
Remote
4,788 Employees
Entry level
4,788 Employees
Entry level
Digital Media • Gaming • Software
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
14 Days Ago
3 Locations
Remote
91 Employees
Entry level
91 Employees
Entry level
Software • Web3
As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.
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