Data Scientist - Analytics & AI for Operational Impact

Bluehawk, LLC; Idaho; On-site; USD 80,000 - 110,000; Full time

Job summary

A technology firm is seeking a Data Scientist to enable advanced analytics and data-driven decision-making. This role involves statistical analysis, data visualization, and deploying AI/ML models to enhance intelligence processes. The ideal candidate will have a bachelor's degree in a quantitative field and experience with programming languages like Python and SQL. Strong collaboration skills with analysts and engineers are also essential in driving innovative solutions.

Qualifications

• Bachelor’s degree in a quantitative field required.
• Proficiency in Python, R, SQL or similar programming languages.
• 3 to 5 years of experience in data science or analytics.

Responsibilities

• Perform complex statistical analysis to extract insights.
• Design and implement advanced data visualizations.
• Build and validate statistical and predictive models.
• Develop AI/ML algorithms and automation workflows.
• Conduct exploratory data analysis to support findings.

Skills

Proficiency in Python

Experience with data visualization platforms

Strong understanding of statistical techniques

Foundational knowledge of AI/ML

Experience with relational and/or NoSQL databases

Familiarity with cloud-based big data technologies

Ability to explain technical findings

Understanding of intelligence analysis processes

Experience with structured and unstructured datasets

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics

Tools

Power BI

Tableau

Job description

A technology firm is seeking a Data Scientist to enable advanced analytics and data-driven decision-making. This role involves statistical analysis, data visualization, and deploying AI/ML models to enhance intelligence processes. The ideal candidate will have a bachelor's degree in a quantitative field and experience with programming languages like Python and SQL. Strong collaboration skills with analysts and engineers are also essential in driving innovative solutions.