Collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework
Accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team
Crafting, building, and deploying business interpretable and performant analytics solutions and applications
Collaborate shoulder-to-shoulder with business experts
Understand the business, the associated processes, systems & data environment
Research, explore, and experiment with data driven business ideas
Craft and develop analytics solutions to improve and re-imagine business process, to generate insights, and support strategy development
Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners
Deploy rich data and analytics content in business applications
Elevate data and analytics skills in the business

Requirements

Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases
Skilled with Python or similar languages
2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles
Can relax this requirement for PhD or equivalent experience
Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
Knowledge and experience in network and graph based analytics techniques including graph databases
Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts
Passionate about working in a diverse group and contributing to an inclusive culture

Benefits

Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short- and long-term disability
Life and AD&D insurance coverage
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension plan
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Generous paid time off program including holidays, vacation, personal, and sick days
Full range of statutory leaves of absence

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonMachine LearningNLPStatisticsExperimental DesignDeep LearningRecommendation SystemsNetwork AnalyticsGraph Databases

Soft Skills

CommunicationCollaborationProblem DefinitionAdaptabilityInsight GenerationAnalytical ThinkingBusiness AcumenTeam LeadershipCustomer FocusInclusivity