Data Scientist jobs in Minnesota

At Lifescale Analytics, we help achieve data-driven decisions by leveraging strategic technologies to create innovative solutions that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for a Data Scientist, the candidate will provide remote support. Candidates will have to work in the eastern and/or central time zones. The qualified candidate must have experience with development of SPL queries via Splunk, specifically with Machine Learning (ML) Toolkit. The candidate will be responsible for Algorithm development and Machine Learning Delivery.

Responsibilities:

• Design and develop custom Splunk dashboards using JavaScript, CSS, and advanced HTML in a large-scale Enterprise Splunk environment consisting of Splunk Enterprise, and Splunk SaaS.
• Scope analytic processes, including creating and documenting associated infrastructure and workflow.
• Responsible for analyzing data, developing algorithms, and working with developers and users to enhance operational systems.
• Algorithm development and Machine Learning Delivery.
• Determine data access methods (APIs, toolkits, ETL, and alike).
• Design and build automation solutions to templatize dashboards for large-scale implementation for different business applications.
• Work with teams to perform requirements gathering sessions to develop the scope and design of new and existing dashboards, alerts, reports, and data sources.
• Discover and mine data to develop meaningful insights into business transactions.

Qualifications:

• Minimum 5 years of experience in Splunk development (Create Dashboards, Visualizations, Statistical reports, scheduled searches, alerts and knowledge objects).
• Minimum of 5 years’ experience as a Data Scientist.
• Knowledge and understanding of Splunk "Search" language and building complex queries.
• Machine Learning Delivery experience.
• 3 years' experience with R, SAS, AlterYX, or equivalent analytics framework.
• Experience in analyzing, interpreting, and visualizing data.
• Experience with development of SPL queries via Splunk.
• Strong written, communication, organizational, and interpersonal skills.
• Experience with creating Splunk knowledge objects (field extractions, macros, event types, etc.).
• 3 years’ experience with Tableau, PowerBI or equivalent visualization tool.
• Python and Pytorch experience.

Education:

• Bachelor’s degree in Data Science, Computer Science or equivalent in related work experience