dataplor

HQ
Manhattan Beach, California, USA
40 Total Employees
Year Founded: 2016

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Jobs at dataplor

Search the 5 jobs at dataplor

Recently posted jobs

2 Days Ago
United States
Remote
Big Data • Machine Learning • Business Intelligence
The Senior Backend Ruby Engineer at dataplor will focus on writing high-quality Ruby code and working with Postgres databases to manage large datasets, including advanced spatial data operations. The role requires independence, creativity, and collaboration within a fully remote environment.
Big Data • Machine Learning • Business Intelligence
As an Outbound Sales Development Representative, you will focus on generating qualified leads for the sales team through proactive outreach, including cold calling and email campaigns. Responsibilities include lead qualification, pipeline management using Salesforce, collaboration with account executives, and staying updated on industry trends to enhance outreach effectiveness.
2 Days Ago
United States
Remote
Big Data • Machine Learning • Business Intelligence
The Product Analyst will drive business intelligence and support product development through collaboration with Engineering and Data Operations. Responsibilities include analyzing product performance, developing AI-based solutions, maintaining data quality, and creating dashboards for KPIs. The role focuses on innovation in geospatial data products, requiring strong analytical skills and the ability to communicate insights effectively.
2 Days Ago
United States
Remote
Big Data • Machine Learning • Business Intelligence
The Lead AI/ML Engineer will build, deploy, and manage machine learning models to tackle complex data challenges within the location data domain. Responsibilities include enhancing data accuracy, developing ML pipelines, utilizing NLP for multilingual data, and collaborating with cross-functional teams to innovate and improve data processing methods.
2 Days Ago
United States
Remote
Big Data • Machine Learning • Business Intelligence
The Customer Success Manager will serve as a trusted advisor for clients, managing relationships, renewals, and product upgrades. They will engage with cross-functional teams to ensure customer satisfaction and success, while becoming an expert in geospatial data usage in various sectors. Regular communication, strategy development, and fostering customer champions are key responsibilities.