Dakota Software is a company that specializes in Environmental, Health, and Safety (EHS) compliance solutions. Their ProActivity Suite provides tools for organizations to effectively manage regulatory obligations, enhance safety performance, and streamline compliance processes. With a focus on automating EHS compliance programs, Dakota Software aims to improve decision-making and promote sustainable workplace practices through comprehensive training, analytics, and management systems.
EHS Compliance β’ Health & Safety Management β’ Environmental Management β’ Corporate Sustainability β’ Risk Management
April 8
π¦ Connecticut β Remote
π Florida β Remote
+12 more states
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
Dakota Software is a company that specializes in Environmental, Health, and Safety (EHS) compliance solutions. Their ProActivity Suite provides tools for organizations to effectively manage regulatory obligations, enhance safety performance, and streamline compliance processes. With a focus on automating EHS compliance programs, Dakota Software aims to improve decision-making and promote sustainable workplace practices through comprehensive training, analytics, and management systems.
EHS Compliance β’ Health & Safety Management β’ Environmental Management β’ Corporate Sustainability β’ Risk Management
β’ Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes β’ Streamline our data workflows, adding value to our product offerings and building out the customer lifecycle and retention models β’ Develop data models and pipelines for research, reporting, and machine learning β’ Advocate for best practices and continued learning β’ Build data pipelines that clean, transform, and aggregate data from disparate sources β’ Integrate our data sources with third party tools (e . g . GoodData, Wyn, Tableau, etc . ) to provide insights to our internal business users and our external customers β’ Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables β’ Analyze data for trends and patterns, and interpret data with clear objectives in mind β’ Build data lakes, warehouses and cloud storage data sets to store data and to feed and drive modern cloud-based Al systems β’ Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis β’ Develop models that can be used to make predictions and answer questions for the overall business and our customers β’ Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy β’ Use agile software development processes to make iterative improvements to our back-end systems β’ Implement analytical models in production by collaborating with software developers
β’ Bachelor's degree (or equivalent) in computer science, information technology, statistics, applied mathematics, engineering, or related discipline from an accredited U.S. University or the foreign equivalent β’ Three or more years of experience with Python, SQL, and data visualization/exploration tool β’ Familiarity with the Microsoft and Azure ecosystems, preferably SQL Server and Postgres Server β’ Communication skills, especially for explaining technical concepts to nontechnical business leaders β’ Proficiency with data mining, mathematics, and statistical analysis β’ Experience in pattern recognition and predictive modeling β’ Experience with Excel, PowerPoint or Google Docs equivalent β’ Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
β’ Medical, Dental, Vision & 401k with Employer Match β’ Volunteer Day β’ PC Co- op β’ 9/80 work schedule- every other Friday off β’ Employer Paid Disability & Life Insurance
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