Data Scientist

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.

To enable our business to expand our lead in a market increasingly enhanced by technology, Waste Management is undertaking a substantial technology transformation. We are seeking talented Information Technology professionals to join the Waste Management team who are motivated to help us transform the way we design, build and use technology. With your skills and experience, we look for you to combine your technical expertise with industry best practices in an effort to align information technology solutions with Waste Management business strategy.

I. Job Summary

We are seeking a highly skilled Digital Business Analyst to design, develop, and deploy robust machine learning models tailored to business needs. This role serves as a critical bridge between technical teams and business stakeholders, ensuring that AI-driven solutions align with strategic goals and deliver measurable value.

  II. Duties and Responsibilities    To perform this job successfully, an individual must be able to perform each duty satisfactorily.  Other ancillary duties may be assigned.

Machine Learning Development

• Design and Develop ML Models: Build scalable and efficient machine learning models to address complex business challenges.
• Model Training and Evaluation: Train, fine-tune, and validate models to ensure optimal performance and predictive accuracy.
• Data Management: Collect, preprocess, and analyze large datasets to extract actionable insights and enhance model effectiveness.

Collaboration & Integration

• Cross-Functional Collaboration: Work closely with software engineers and business stakeholders to integrate ML models into production environments and improve existing applications.
• Primary Liaison: Serve as the main point of contact between technical teams and business owners, translating business requirements into technical solutions.

Business Analysis & Strategy

• Strategic Visioning: Deliver top-level business and systems analysis aligned with organizational strategy.
• Process Mapping: Define scope, objectives, and functional specifications through detailed business process analysis.
• Testing & Deployment: Document requirements, develop test plans, lead user acceptance testing, and coordinate deployment activities.

Documentation & Continuous Learning

• Comprehensive Documentation: Maintain thorough documentation of data workflows, model development, and deployment processes.
• Stay Updated: Continuously monitor advancements in machine learning and AI to incorporate innovative techniques into projects.
• Understanding of data structures and data modeling  
• knowledge of math, probability, statistics and algorithms
• Ability to write code in Python, Java and R
• Familiarity with machine learning frameworks  
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

III. Supervisory Responsibilities

Will coach and mentor less experienced analysts and act as team leader on more complicated systems projects.

IV. 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, MIS, Business Administration or similar area of study or in lieu of degree, High School Diploma or GED (accredited) and four years of relevant work experience.

Experience: Eight years of relevant work experience as a IT Business Analyst (in addition to education requirement). Four years working as an IT Manager/Project Manager may substitute for the minimum years of experience.

B. Certificates, Licenses, Registrations or Other Requirements

None required.

C. Other Knowledge, Skills or Abilities Required

Technically advanced knowledge or in-depth skills in one or more of the following is required:

• Systems development, implementation, upgrades and analyses
• QA testing, business analysis methodologies, system design and related analysis
• Project management methodologies
• Training and communication skills

V. Work Environment

Listed below are key points regarding environmental demands and work environment of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

Normal setting for this job is: office setting and/or landfill/outdoor.

 

The expected base pay range for this position across the U.S. is $107,300 - $160,310. This range represents a good faith estimate for this position. The specific salary offered to a successful candidate may be influenced by a variety of factors including the candidate’s relevant experience, education, training, certifications, qualifications, and work location.

 

Benefits

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.

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.

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.