Top Data Science Jobs in Las Vegas, NV
Join Iodine as a Revenue Operations Analyst to support sales and marketing teams in selling better and more efficiently. Responsibilities include refining lead qualification processes, analyzing campaign performance, and maintaining sales data in CRM tools. Preferred qualifications include experience in SaaS businesses and proficiency in data analysis and spreadsheet skills.
Partner with engineering and product teams to analyze user behaviors and boost business growth through applied analytics techniques. Develop segmentation strategies, analyze customer behavior data sets, and track progress through dashboards. Collaborate with cross-functional teams to execute and iterate high-impact initiatives.
Responsible for driving compliance monitoring data analytics initiatives and ensuring compliance with ethical standards and regulatory requirements.
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Lead Data Scientist role at Thumbtack involving quantitative research, experiment design, collaborating with product teams, defining key metrics, developing expertise in data, and contributing to the data culture.
As a Lead Data Scientist, Business Analytics, you will be responsible for driving insights and action across the marketplace. You will define and monitor key metrics, conduct deep dive analysis, and support company revenue forecasting. You will collaborate with teams across the company and contribute to the data culture.
As a geospatial expert at Arity, you will be considered as the technical expert for geospatial data. You are expected to make key technical decisions about how to approach complex geospatial projects. You have chances to influence the business for the entire cycle of geospatial data including collection, processing, aggregation, modeling, and visualization.
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
Develop standardized data models for accessing real-world data and generate regulatory-grade real-world evidence. Evaluate data sources, ensure data quality and security, and explore new approaches to data capture. Collaborate with stakeholders and develop statistical methods for data analysis.
Play a major role in building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team to deliver high-quality solutions.
Contribute to driving innovations for Large Language Models for Enterprise Language Generation, collaborating with a team to develop practical and scalable solutions using AI/ML expertise and creativity.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
Seeking a Data Scientist to collaborate in a team environment, develop solutions to business problems, and advocate for data-driven approaches. Responsibilities include using critical thinking for customer segmentation, producing model-driven solutions, collaborating with internal teams, and articulating complex ideas. Preferred qualifications include 5+ years experience in digital marketing consulting, proficiency in Python and SQL, and knowledge of GMP or Adobe marketing ecosystems.
Collaborate on product and business problems, apply technical expertise in quantitative analysis, develop strategies, define and test opportunities, measure success of product efforts, shape product development with data, and ensure value creation for Atlassian.
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