Collaborate with leaders in Sales and other inter-dependent teams to design, develop, and propose automation and AI solutions for reporting and measurement needs
Own and develop scaled reporting solutions for Sales team needs
Manage reporting collateral, including dashboards, to facilitate teams' understanding of business health and goal achievement levels
Address ambiguous strategic questions facing the business and collaborate with leaders across MAP to build business cases for new business initiatives
Ensure smooth execution of these initiatives across diverse cross-functional partners
Develop a profound understanding of MAP’s business and how our different ads products, media channels, and sales investments align with our broader strategy
Develop various input and output metrics we will use to evaluate our progress
Leverage strong data science skills to develop reporting deliverables, create ad hoc analyses on business results and sales performance, provide insights used to help business planning, develop and deploy ML models and drive process improvement
Build quick automation tools to drive quick data synthesis
Offer insights into metric movements and trends and providing data-driven insights
Support decision-making by specifying requirements for developing analytic capabilities, platforms, pipelines, and metrics
Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations
Operate independently as the go-to analytics expert for day-to-day business needs

Requirements

5+ years of experience in data science, analytics, or statistical analysis
Strong executive presence and communication skills
Advanced SQL skills for complex data extraction and analysis
Design, build, and maintain high-quality dashboards and visualizations using Superset and other BI tools as needed
Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
Ability to translate ambiguous business problems into clear analytical and ML roadmaps
Experience conducting offline evaluations and A/B testing, causality, and communicating results to technical and non-technical stakeholders
Experience mentoring junior data scientists and acting as a technical leader
Strong ability to gather business requirements, propose solutions, evaluate feasibility, and assess ROI
Proven ability to manage multiple priorities independently in a cross-functional environment
Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics)
Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 5+ years of relevant work experience.

Benefits

Health benefits include medical, vision and dental coverage
Financial benefits include 401(k), stock purchase and company-paid life insurance
Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more
Live Better U is a company paid education benefit program

Applicant Tracking System Keywords

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

Hard Skills & Tools

data scienceanalyticsstatistical analysisSQLmachine learningA/B testingdashboard designdata visualizationreporting solutionsprocess improvement

Soft Skills

executive presencecommunication skillsmentoringtechnical leadershipproblem-solvingindependencecollaborationbusiness acumenprioritizationanalytical thinking

Certifications

MS in Computer SciencePhD in Machine LearningPhD in Operations ResearchPhD in Applied MathematicsPhD in StatisticsPhD in Engineering