Design, develop and maintain advanced analytical models to support operational contact forecasting, headcount planning, license forecasting and budget planning.
Develop forecasting models using statistical techniques such as time series, regression, machine learning.
Partner with internal stakeholder teams to understand the planning and forecasting related business problems and solve them to raise the bar for decision making.
Present planning recommendations to leadership, drive timely decisions, and ensure clear and concise communication to all XFN stakeholders.

Requirements

Bachelors, Masters or Phd in a quantitative field like statistics, industrial engineering, operations research.
5+ years of experience in an analytical environment solving forecasting, planning or similar problems using statistical techniques.
Strong working knowledge of SQL and python or R.
Experience in creating optimization models using linear programming techniques using optimization solvers such as CPLEX, Gurobi a plus.
Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment.
Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Benefits

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Applicant Tracking System Keywords

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

Hard Skills & Tools

statistical techniquestime seriesregressionmachine learningSQLPythonRoptimization modelslinear programmingoptimization solvers

Soft Skills

creative thinkingcritical thinkingcommunicationdecision makingproblem solvingcollaborationadaptabilityclarityconcisenessstakeholder engagement