Data Scientist

Michigan Farm Bureau; Lansing (MI); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Remote work up to 3 days/week

Job summary

Michigan Farm Bureau in Lansing, MI seeks a Data Scientist to analyze, manipulate, and process large data sets using Jupyter, Python, R, SQL, Tableau, Power BI, Azure DevOps, Jira, Databricks, Microsoft Fabric, and Akur8 to support strategic corporate goals and initiatives.

You will develop data sources and structures required to identify relationships and trends impacting research results. Remote work permitted up to 3 days/week.

Qualifications

• Masters degree in Data Science, Business Analytics and Data Science, or related field; two years experience required.
• Knowledge of CRISP-DM principles is beneficial.

Responsibilities

• Analyze, manipulate, and process large data sets using statistical software including Jupyter, Python, R, SQL, Tableau, Power BI.
• Develop data sources and structures required to identify relationships and trends impacting research results.
• Apply feature selection algorithms to models for profiling and exploratory data analysis to identify relationships and anomalies.
• Test, validate, and reformulate models; recommend improvements to predictive modeling and analytical processes.

Skills

Jupyter

Python

R

SQL

Tableau

Power BI

Azure DevOps

Jira

Databricks

Microsoft Fabric

Akur8

Education

Master's degree in Data Science or related field

Tools

Databricks

Microsoft Fabric

Akur8

Azure DevOps

Jira

Job description

Data Scientist

(Lansing, MI) Analyze, manipulate, and process large sets of data using statistical software including Jupyter, Python, R, SQL, Tableau, Power BI, Azure DevOps, Jira, Databricks, Microsoft Fabric, and Akur8 to support strategic corporate goals and initiatives, using descriptive, predictive, statistical, and advanced analytical techniques. Develop data sources and structures required to identify relationships and trends impacting research results. Apply feature selection algorithms to models to perform in-depth profiling and exploratory data analysis to identify relationships, redundancies, correlations, and anomalies within data. Investigate exploratory data analysis and modeled results to identify business solutions, including budgeting and staffing decisions. Adhere to CRISP-DM principles during data analysis and modeling efforts when identifying business problems and objectives. Test, validate, and reformulate models, and recommend improvements to predictive modeling and analytical processes within data analysis solution pipelines.

Minimum of Masters Degree in Data Science, Business Analytics and Data Science, or related and two years experience as Data Scientist, Consultant or related position required.

Remote work permitted up to 3 days/week.