Data Scientist - Pricing Supply Chain

• Prior research or development experience working with large and complex supply chain and sales data sets solving problems with data and experience building advanced analytic models including predictive models
• Knowledge of supply chain management and dynamic pricing strategies.
• Strong proficiency in programming environment and languages specifically Python and R.
• Strong working knowledge of machine learning and statistics experience utilizing Python libraries
• Experience utilizing data visualization tools such as Power BI
• Cloud computing experience such as AWS Azure or Snowflake
• Strong communication and presentation skills with the ability to excite business leaders on utility of these analytic tools for strategic business decision making.

Required

• Masters or Ph.D. in Computer Science Machine Learning or related areas.
• 2 years of experience solving problems through statistical modeling applied machine learning and data analysis.

Preferred

• Have experience working with SAP or similar ERP systems

What We Offer

Compensation:This role is eligible for our annual meritincrease program and we are targeting a salary range of $106900$160400 based on your level of skills qualifications and experience. You will also be eligible for our Annual Incentive Program which offers a cash bonus targeting 15 of base pay. Potential plan funding may range from zero to two times that target.

Benefits:When you join our team you and your dependents will be offered coverage under our comprehensive employee benefits plan which includes medical dental vision short and longterm disability and life insurance. For those eligible we offer a pretax Health Savings Account option which includes a company contribution based on your participation. Other benefit options are also available such as voluntary LongTerm Care and Employee Assistance Programs. We also support personal volunteerism sponsor a host of diversity networks promote mentoring and provide training and development opportunities to help you chart your path to a fulfilling career.

Retirement:Employees are able to enroll in our companys 401(k) plan which includes a paid company match on a per pay period basis. In addition the company makes a retirement savings contribution of 5 of eligible earnings into the 401(k) Plan.

Paid Time Off or Vacation:We provide eligible employees who are scheduled to work 25 hours or more per week with 3weeks of paid vacation to use during your first year of employment. In addition after being employed for six months eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year providing a total of 88 holiday hours.

About Weyerhaeuser

We sustainably manage forests and manufacture products that make the world a better place. Were serious about safety driven to achieve excellence and proud of what we do. With multiple business lines in locations across North America we offer a range of exciting career opportunities for smart talented people who are passionate about making a difference.

We know you have a choice in your career. We want you to choose us.

Attention Internal Applicants:To ensure transparency across the organization please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation please reach out to your HR Representative for guidance. For more information on how to apply including best practices for updating your profile or partnering with HR and Recruiting please visit our internal applicant page on Roots: wy/applicants

Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five corevaluesand we strive to maintain a culture where all our people feel a sense of belonging opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join stay and thrive with our team.

At Weyerhaeuser we are the worlds premier timber land and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years our Weyerhaeuser team has been making a difference in the world from the seedlings we plant to the forests and trees we nurture we ensure every acre is managed with diligence patience and pride. Thats the Weyerhaeuser way.

We are looking for a data scientist who is passionate about opportunities to improve business processes for our Wood Products supply chain and the Sales & Marketing business. We have an integrated supply chain with our Timberlands business sourcing logs to our Wood Products business that manufactures products like lumber OSB and engineered lumber products that get sold thru our distribution network to 3rd party customers. This presents some very interesting and complex opportunities to solve for optimizing our supply chain and how we price and sell products into the market.

You have experience with optimizing pricing and/or supply chain processes and have analyzed large datasets to build advanced models that improve operations. You are skilled at analyzing and identifying areas for improving operational excellence and determining how to apply the appropriate advanced analytic solutions. You have a high attention to detail but are good at seeing the big picture and arent afraid to think outside the box and champion your ideas. You have experience articulating opportunity as well as creating and successfully managing projects that drive operational excellence. You are effective at communicating timely and relevant information to business leaders and internal partners.

The position is part of our central Data & Analytics team and will be located in Seattle WA.

Key Functions

• Analyze and interpret large and complex data sets related to our Wood Products supply chain sales and pricing subject areas.
• Evaluate opportunities to improve pricing realizations and understand the appropriate machine learning model or related solutions to apply.
• Leverage advanced analytic models to improve and optimize our integrated Wood Products supply chain.
• Implement and optimize machine learning models including retraining and deployment to ensure continuous improvement and accuracy. Evaluated model effectiveness through rigorous testing and performance metrics.
• Create innovative insights and develop/maintain impactful reports dashboards and model outputs.
• Present compelling validated stories to all levels of our organization including peers senior management and internal customers that communicate opportunities and drive strategic business initiatives.
• Build crossfunctional relationships to collaboratively partner within our business.