Venteon
Overview
Direct message the job poster from Venteon
Role Eagle Scout Turned Talent Scout: Leading the Search for Exceptional Talent
Responsibilities
Design, develop, and implement data-driven solutions using machine learning, statistics, and advanced analytics.
Identify business opportunities through data analysis and optimization.
Build, test, and validate predictive models and algorithms.
Conduct A/B tests and evaluate model performance.
Create reports, dashboards, and visualizations to communicate insights.
Collaborate across teams to deploy and monitor models in production.
Explore new data sources, tools, and technologies to improve capabilities.
Education & Experience
Bachelor’s in Data Science, Computer Science, Statistics, Math, Engineering, or related field.
5+ years of experience in data analysis, machine learning, or statistical modeling.
Skilled in Python, R, MATLAB, SQL, Power BI, or Tableau.
Experience with large datasets and data platforms (Hadoop, SAS, Teradata, etc.).
Strong analytical, communication, and collaboration skills.
Candidates must be based in the Metro Detroit area; sponsorship is not available for this role.
Seniority & Employment Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Financial Services and Real Estate
Note: This posting references the role and qualifications for a Data Scientist in Detroit Metropolitan Area. The description does not include external boilerplate or non-essential postings information.
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Role Eagle Scout Turned Talent Scout: Leading the Search for Exceptional Talent
Responsibilities
Design, develop, and implement data-driven solutions using machine learning, statistics, and advanced analytics.
Identify business opportunities through data analysis and optimization.
Build, test, and validate predictive models and algorithms.
Conduct A/B tests and evaluate model performance.
Create reports, dashboards, and visualizations to communicate insights.
Collaborate across teams to deploy and monitor models in production.
Explore new data sources, tools, and technologies to improve capabilities.
Education & Experience
Bachelor’s in Data Science, Computer Science, Statistics, Math, Engineering, or related field.
5+ years of experience in data analysis, machine learning, or statistical modeling.
Skilled in Python, R, MATLAB, SQL, Power BI, or Tableau.
Experience with large datasets and data platforms (Hadoop, SAS, Teradata, etc.).
Strong analytical, communication, and collaboration skills.
Candidates must be based in the Metro Detroit area; sponsorship is not available for this role.
Seniority & Employment Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Financial Services and Real Estate
Note: This posting references the role and qualifications for a Data Scientist in Detroit Metropolitan Area. The description does not include external boilerplate or non-essential postings information.
#J-18808-Ljbffr