Data Scientist

Summit Fire And Security • Mendota Heights, MN

4d

About The Position

The Data Scientist will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and uncover actionable insights that drive innovation and growth. Initial focus will be developing a long-term strategy for intake, processing, and loading of acquisition data.

Requirements

• 5+ years experience working as a data scientist or in a similar role.
• Strong understanding of machine learning algorithms, statistical techniques, and experimental design.
• Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
• Must have the ability to effectively read, write and communicate in English with employees and customers.
• Proficiency in programming languages such as Python, R, Java.
• Strong understanding of machine learning algorithms, statistical techniques, and experimental design.
• Proficiency in database management systems and SQL query language.
• Valid driver's license with acceptable driving record required.
• Must be able to comply with SFPH's Drug and Alcohol policy and Background screening requirements, which may also include customer specific requirements based on contractual agreement.

Nice To Haves

• Experience with Azure Machine Learning is highly desirable.
• Experience with Jitterbit is a plus.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, strongly preferred.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights that inform business strategies and decision-making.
• Develop and deploy machine learning models and algorithms for predictive analytics.
• Clean, preprocess, and transform raw data into a usable format for analysis and modeling.
• Design and conduct experiments to test hypotheses, evaluate model performance, and optimize algorithms.
• Create data visualizations and dashboards to communicate findings and insights to both technical and non-technical audiences.
• Stay abreast of the latest developments in data science, machine learning, and related fields, and apply best practices to projects and initiatives.
• Other duties may be assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED