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Top Data Science Jobs in Little Rock,

15 Days Ago
United States
Remote
86 Employees
Junior
86 Employees
Junior
Biotech
The Applied Data Scientist will develop data processing strategies, extract and format data, conduct exploratory analyses, and create interactive scientific applications using R Shiny. This role involves collaborating with scientists and sharing insights to support biomedical decision-making.
15 Days Ago
USA
Remote
1,749 Employees
90K-100K Annually
Mid level
1,749 Employees
90K-100K Annually
Mid level
Biotech
The Scientist in Field Applications will provide both onsite and remote assistance in NGS library preparation, conduct customer training, and resolve technical inquiries related to genomic applications. This role requires collaboration with the customer success and sales teams to ensure customer satisfaction and support.
15 Days Ago
United States
Remote
63 Employees
Mid level
63 Employees
Mid level
Software
The Lead Data Analyst/Scientist will analyze large datasets, create visualizations and reports, develop predictive models, and derive actionable insights to enhance operations for senior living communities. The role involves collaborating with teams to understand data needs and staying updated on data science advancements.
15 Days Ago
United States
Remote
70 Employees
70 Employees
Software
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
16 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.
16 Days Ago
United States
Remote
73 Employees
Senior level
73 Employees
Senior level
Agriculture
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
16 Days Ago
United States
Remote
377 Employees
140K-140K Annually
Mid level
377 Employees
140K-140K Annually
Mid level
Artificial Intelligence • Database • Analytics
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
16 Days Ago
United States
Remote
3,000 Employees
Senior level
3,000 Employees
Senior level
Cloud • Information Technology
The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.
16 Days Ago
US
Remote
35 Employees
Junior
35 Employees
Junior
Fintech
Contract BI Data Visualization Specialist responsible for building and maintaining user-friendly dashboards, reports, and presentations for marketing stakeholders. Must have 2-3 years of experience as a data analyst with expertise in Tableau and SQL. Strong analytical skills, familiarity with digital marketing platforms, and excellent communication abilities are required.
16 Days Ago
United States
Remote
28 Employees
Junior
28 Employees
Junior
Computer Vision • Healthtech • Software
The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.
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