Senior Director Decision Science

As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.

I. Job Summary

The Senior Director of ENP Decision Science will define and deliver the advanced analytics strategy and data science vision within the Enterprise Network Planning function.

Responsible for developing, implementing, and refining an optimization model for enterprise network volume forecasting and planning. For our disposal network this includes modeling disposal volumes flows, both internal and 3rd party, and enabling a model to forecast future capacity constraints and needs. The model would need the capability to use data science to ingest "what if" scenarios to allow forecasting of price/volume sensitivity including "next best alternative" analysis. The model would allow for cost tradeoff analysis for future disposal infrastructure and disposal flow changes to include landfill closures/openings, acquisition modeling, transfer stations closures/openings, and transfer barge and rail capabilities/needs and impacts.

For our hauling operations this model would be used to rationalize current locations, inform where new locations should be built to accommodate growth goals, and enable acquisition facility and cost modeling. This role leads the development, maintenance, and execution of scenarios around the model.

II. Essential Duties and Responsibilities

• Design and develop solutions which leverage advanced analytics, predictive analytics and machine learning integrated into WM’s network planning.
• Leverage understanding of the business to define data and technology needs to create modeling tools to enable strategic forecasting and decision making for enterprise facilities including landfill, hauling, transfer stations, transfer network
• Review existing systems in relation to future needs and benefits and recommend improvements to meet WM’s needs
• Manage data science projects involving timelines, vendor relationships, and budgets to ensure projects are delivered with the highest quality and within specified timeframes
• Identify opportunities for innovation to ensure WM’s leadership position within the industry landscape

III. Qualifications

The requirements listed below are representative of the qualifications necessary to perform the job.

A.  Education and Experience

• Education: Bachelor’s Degree (accredited) in Computer Science, Business Administration, Engineering, Data Sciences, or similar area of study; or High School Diploma or GED (accredited) and four years of relevant experience required. Master's degree (accredited) in Computer Science, Business Administration, Engineering, Data Sciences, or similar area of study preferred.
• Experience: 10+ years of previous experience with demonstrated leadership in advanced analytics and data science required.

B. Other Knowledge, Skills or Abilities Required

• Leadership experience with progressively more responsibility within the Data Science and Advanced Analytics landscape
• Experience in envisioning a future state, defining the current state, and drive technology creation to close the gap between the status quo and needed change
• Demonstrated people management and team leadership skills
• Ability to work with people from all levels and across the organization
• Demonstrated project management skills and ability to manage multiple tasks efficiently
• Experience with multiple vendors in any of the following areas including; R, Python, SAS, SQL, SageMaker, Spark, Lambda, Cplex, ArcGIS, Snowflake, Cassandra, AWS S3

IV. Work Environment
Office: This job primarily operates in a professional office environment and routinely requires the use of standard office equipment such as computers, phones, copy machines, etc. 

Benefits
At WM, 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.

If this sounds like the opportunity that you have been looking for, please click "Apply".

ABOUT WM WM (WM.com) is North America’s largest comprehensive waste management environmental solutions provider. 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 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 achieve 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 the leader in beneficial reuse of landfill gas, with a growing network of renewable natural gas plants and the most gas-to-electricity plants in North America. WM’s fleet includes nearly 11,000 natural gas trucks – the largest heavy-duty natural gas truck fleet of its kind in North America – where more than half are fueled by renewable natural gas. To learn more about WM and the company’s sustainability progress and solutions, visit Sustainability.WM.com.