Leverage advanced analytical techniques and programming languages to analyze massive data sets
Influence strategic decisions and create financial forecasts based on customer behavior analyses
Develop reports and dashboards to measure changes in customer behavior
Contribute to complex long-term projects executing with cross-functional teams
Provide direction in leveraging advanced modeling techniques and machine learning algorithms

Requirements

Master’s degree or equivalent in Data Science, Business Analytics, Statistics or related field
2 years of experience in Data Science or Data Analytics
Demonstrated experience with statistical programming languages, including Python
Transforming large data sets using SQL
Experience with analytic techniques including predictive modeling, clustering, and optimization algorithms
Leveraging business intelligence tools like Looker or MicroStrategy
Utilizing R packages for data presentation
Experience with version control systems and collaborative development
Defining and monitoring key performance indicators (KPIs)

Benefits

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLpredictive modelingclusteringoptimization algorithmsRdata analysisdata visualizationstatistical programmingmachine learning

Soft Skills

analytical thinkingstrategic decision makingcollaborationcommunicationinfluenceproject managementproblem solvingdirection providingcross-functional teamworkKPI monitoring

Certifications

Master’s degree in Data ScienceMaster’s degree in Business AnalyticsMaster’s degree in Statistics