Senior Data Scientist

rgbsi • United State
Remote Relocation
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AI Summary

We are seeking a Senior Data Scientist to analyze and interpret datasets, build predictive models, and collaborate with cross-functional teams. The ideal candidate will have expertise in data science tools, machine learning, and programming skills. This is a 75% remote and 25% onsite role with relocation assistance.

Key Highlights
Analyze and interpret datasets
Build predictive models
Collaborate with cross-functional teams
Key Responsibilities
Undertake the processing of multiple datasets, including structured and unstructured, to analyse large amounts of information to discover trends and patterns.
Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.
Build highly complex predictive models and machine-learning algorithms.
Execute Integration into existing systems or creation of new products.
Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes.
Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
Coach and mentor other team members on new technologies and best practices across data science and business intelligence.
Technical Skills Required
Azure Databricks Power BI Microsoft Office Excel pivot tables Spark Python R C
Benefits & Perks
Relocation assistance
75% remote work
25% onsite work
Nice to Have
Expertise in Power Platforms
Familiarity with LLM (open source or closed)
Experience in Front end web app development (Flaskapp, Gradio etc)

Job Description


Relocation assistance is provided. The role is 75% remote and 25% onsite.


Job Description:

  • We build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment.
  • Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.
  • As a Data Scientist, your primary responsibilities will be to analyse and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.


Responsibilities:

  • Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
  • Undertake the processing of multiple datasets, including structured and unstructured, to analyse large amounts of information to discover trends and patterns.
  • Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
  • Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.
  • Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.
  • Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes.
  • Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
  • Coach and mentor other team members on new technologies and best practices across data science and business intelligence.
  • Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business.
  • Actively supports the advancement of the strategic roadmap for data science.

Standout Qualifications:

  • Masters or doctorate degree
  • Expertise in Power Platforms
  • Familiarity with LLM (open source or closed)
  • Experience in Front end web app development (Flaskapp, Gradio etc)
  • Familiarity with RAG architecture

Education:

  • Bachelor's degree with five (5) or more years of experience in the field or in a related area.


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