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Top Entry Level Data Science Jobs in Las Vegas, NV

16 Days Ago
USA
Remote
46 Employees
Entry level
46 Employees
Entry level
Information Technology • Consulting
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
17 Days Ago
United States
Remote
110 Employees
88K-132K Annually
Entry level
110 Employees
88K-132K Annually
Entry level
Greentech • Software
The Research Associate role at Carbon Direct involves conducting research and analysis, creating deliverables, collaborating with teams, and managing projects focused on nature-based climate solutions. A strong candidate will engage in data analysis, foster communication, and ensure quality in outcomes while supporting carbon management advisory engagements.
Top Benefits:
401-K
Child Care Benefits
Commuter Benefits
+46 More
18 Days Ago
United States
Remote
490 Employees
Entry level
490 Employees
Entry level
Software
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
20 Days Ago
2 Locations
276 Employees
Entry level
276 Employees
Entry level
Professional Services • Consulting
The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.
25 Days Ago
USA
Remote
732 Employees
Entry level
732 Employees
Entry level
Beauty • eCommerce • Healthtech • Retail • Telehealth
Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.
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