Execute on the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Assist on research development projects and data science project plans for clients and internal initiatives
Strive to support team excellence by documenting processes and evangelizing new approaches
Work as part of a team to deliver accurate products on short deadlines

Requirements

2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
A strong understanding of a statistical programming language such as R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating and delivering informative and engaging data visualizations using industry leading tools

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

predictive modelingdata visualizationstatistical programmingRPythonregression techniquesmachine learningSQLexperimental designcausal inference

Soft Skills

collaborationproblem-solvingcommunicationdocumentationteamworkpresentation skillsproactive approachsupporting team excellence