Agility Partners · 3 days ago

Data Scientist

Columbus, Ohio Metropolitan Area

Full-time

Hybrid

Mid Level

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Venture Capital

Growth Opportunities

Hiring Manager

Abbey Saddler

Insider Connection @Agility Partners

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Synthesize data from analytics tools into actionable insights and communicate recommendations to stakeholders and senior leadership.

Grasp complex technical concepts and present them clearly through visualizations and presentations.

Extract and analyze data using Python, R, and/or SAS.

Create intuitive dashboards for critical metrics, focusing on data automation, anomaly detection, and actionable visualizations.

Apply visualization techniques to internal and external data sources for accurate and timely analyses.

Develop self-service dashboards for internal business partners to derive insights from data and KPIs.

Automate manual processes to improve efficiency, accuracy, and create self-service assets.

Qualification

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RPythonSQLOracleDB2SQL ServerSPSSTeradataHadoopSASTableau ServerBusiness IntelligenceData MiningStatistical MethodsMachine LearningProblem SolvingCreative ThinkingTeamworkTime ManagementFinancial Services

Required

Master's degree in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree

Extensive experience with programming languages R or Python

Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS

Business intelligence and data mining experience with Tableau Server

Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity

Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines