Customer ServiceOperationsLeadershipInformation TechnologyData AnalysisBusiness StrategiesSelf-MotivationProfessionalismBusiness ProcessSQL

Performs advanced data analysis, utilizes data mining techniques and designs and produces complex statistical models to address a variety of business opportunities for the organization. Develops complicated algorithms and uses advanced analytic tool to develop and evaluate a broad spectrum of analytics for large data sets. Works as part of the leadership team to identify and analyze business problems and document, implement, and present the technical information to various internal customers., To perform this job successfully, an individual must be able to perform each duty satisfactorily. Other ancillary duties may be assigned.

• Develops advanced statistical models and methodologies to predict, quantify or forecast various operational and performance metrics.
• Performs high level data analysis; develops complex algorithms and computational solutions as necessary to support the business units of the organization.
• Provides technical expertise and support when implementing model results in Waste Management's ongoing business processes.
• Ensures data quality and reliability and provides feedback to business process owners, leadership, and to the IT department.
• Identifies new data sources that will maximize analytic capabilities for the various business units.
• Observes current systems/processes and interacts with the appropriate personnel. Utilizing a variety of sources, collects and analyzes information to support the modeling and analysis.
• Collaborates with and as part of leadership to identify, define, and solve a variety of problems and support various corporate initiatives. Present and communicates information to all levels of the organization (including technical and non-technical audiences, Senior Leadership and Executive Leadership).
• Prepares management reports defining the problem; documenting the analysis and recommending courses of action in order to determine the best outcomes.
• Leads in developing business methods and procedures (including accounting systems, file systems, office systems, logistics systems, and production schedules).

III. Supervisory Responsibilities May coach and mentor less-experienced personnel and act as team leader on systems projects, possibly requiring up to 30% of time spend performing duties and responsibilities., Customer ServiceOperationsLeadershipInformation TechnologyData AnalysisBusiness StrategiesSelf-MotivationProfessionalismBusiness ProcessSQL (Programming Language)InnovationComputer ScienceManagement ReportingSystems EngineeringLegislationEconomicsAlgorithmsData QualitySAS (Software)File SystemsStatistical ModelingData MiningRelational DatabasesC (Programming Language)Waste ManagementLandfillRenewable Natural GasC# (Programming Language)Biomedical WasteNatural GasAccounting SystemsApplied MathematicsEnergy ProductionBusiness Method PatentBusiness Problems

• Education: Bachelor's degree (accredited) in Economics, Applied Mathematics, Computer Science, or similar area of study, or in lieu of degree, High School Diploma or GED and 4 years of relative work experience.
• Prefers a Master's Degree.
• Experience: Five years of relevant work experience (in addition to education requirement).

B. Certificates, Licenses, Registrations or Other Requirements

• None required.

C. Other Knowledge, Skills or Abilities Required Advanced knowledge and skills in one or more of the following is required:

• Knowledge and understanding in how to identify root causes of problems, create effective practical solution approaches, and implement solutions under the tactical demands of business operations.
• Experience leading and working as part of a integrated solutions development team to provide value to systems engineering and development for specific decision support application.
• Experience working with large-scale data sets in an advanced data mining analytic role.
• Practical knowledge and demonstrated experience of statistical models and methods.
• Knowledge of large relational databases, and SQL programming.
• Knowledge and working experience in SAS toolsets (SAS training preferred).
• Programming experience (preferably in C or C#).
• Problem solving and analytical skills.
• Ability to present, communicate and articulate complex information to all levels of the organization (including technical and non-technical audiences, Senior Leadership and Executive Leadership).
• Committed and highly motivated team player.
• Ability to demonstrate a customer service and customer focused mindset.
• Proficiency with data mining and visualization tools.

At Waste Management, each eligible employee receives a competitive total compensation package including Medical, Dental, Vision, Life Insurance and Short Term Disability. As well as a Stock Purchase Plan, Company match on 401K, and more! Our employees also receive Paid Vacation, Holidays, and Personal Days. Please note that benefits may vary by site.

Waste Management (WM), a Fortune 250 company, is the leading provider of comprehensive waste and environmental services in North America. We are strongly committed to a foundation of operating excellence, professionalism and financial strength. WM serves nearly 25 million customers in residential, commercial, industrial and municipal markets throughout North America through a network of collection operations, transfer stations, landfills, recycling facilities and waste-based energy production projects., WM ( WM.com ) is North America's leading provider of comprehensive environmental solutions. Previously known as Waste Management and based in Houston, Texas, WM is driven by commitments to put people first and achieve success with integrity. The company, through its subsidiaries, provides collection, recycling and disposal services to millions of residential, commercial, industrial, medical and municipal customers throughout the U.S. and Canada. With innovative infrastructure and capabilities in recycling, organics and renewable energy, WM provides environmental solutions to and collaborates with its customers in helping them pursue their sustainability goals. WM has the largest disposal network and collection fleet in North America, is the largest recycler of post-consumer materials and is a leader in beneficial use of landfill gas, with a growing network of renewable natural gas plants and the most landfill gas-to-electricity plants in North America. WM's fleet includes more than 12,000 natural gas trucks - the largest heavy-duty natural gas truck fleet in the industry in North America. Healthcare Solutions provides collection and disposal services of regulated medical waste, as well as secure information destruction services, in the U.S., Canada and Western Europe. To learn more about WM and the company's sustainability progress and solutions, visit Sustainability.WM.com . Equal Employment Opportunity For United States: WM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. For Canada: WM is committed to the principle of equal employment for all applicants and employees, without discrimination on the basis of all grounds protected by applicable human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Please notify us if you require accommodation. Real ID In order to travel by air or access federal property, federal law requires individuals have a REAL ID or an acceptable alternative. This position may require the successful candidate to travel by air for business reasons or service federal property. Accordingly, successful candidates must have, or be willing to obtain, a REAL ID or TSA-approved alternative. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. On-Site