Lead Data Scientist

About Us:

The Lumber Manufactory (TLM) is a next-generation sawmill operator focused on sustainable manufacturing of dimensional wood products. TLM is the process of designing a state-of-the-art modular sawmill optimal for producing high-grade dimensional products, with a focus on simplicity and fast construction. TLM is backed by leading investors including Cantos, Slow Ventures, Susa Ventures, Banter, and Ravelin Capital.

TLM seeks an experienced, curious, and solution-oriented data scientist to lead its efforts in using data science for industry-specific software innovations. The ideal candidate will have education in data science, computer science, and/or statistics, and prior exposure to industrial uses for machine learning.

This position is perfect for someone looking for the freedom to be creative—TLM prides itself on being fast, nimble, and open to new ideas.

Responsibilities:

• Lead the design, development, and deployment of state-of-the-art (SOTA) computer vision tools using TensorFlow, PyTorch, and/or Roboflow.
• Develop and manage complete ETL (Extract, Transform, Load) pipelines centered around computer vision models.
• Utilize cloud platforms such as Google Cloud and/or Amazon Web Services (AWS) to deploy and scale data science solutions.
• Collaborate with engineering, product, and operations teams to integrate machine learning models into production systems.
• Conduct data analysis and provide actionable insights to improve operational efficiency and decision-making.
• Stay current with the latest research and advancements in data science, machine learning, and computer vision.

Qualifications:

• Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Statistics, or a related field; or a Bachelor’s degree with commensurate experience.
• Proven experience in designing and building advanced computer vision models and solutions.
• Strong expertise in TensorFlow, PyTorch, and/or Roboflow.
• Experience with ETL processes and pipeline development.
• Proficiency in using Google Cloud Platform (GCP) and/or Amazon Web Services (AWS) for deploying machine learning models.
• Solid programming skills in Python, and familiarity with other programming languages such as R or Java is a plus.
• Excellent problem-solving abilities and a solution-oriented mindset.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior exposure to industrial applications of machine learning and data science is highly desirable
• Must have strong problem-solving skills.
• Excellent communication skills
• Must be able to work independently with minimal supervision.
• Must be able to work on a team under pressure under deadline pressure in a fast-paced environment.

Job Type: Full-time

Pay: $130,000.00 - $160,000.00 per year

Benefits:

• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Parental leave
• Relocation assistance
• Vision insurance

Schedule:

• Monday to Friday

Ability to Commute:

• Seattle, WA (Required)

Ability to Relocate:

• Seattle, WA: Relocate before starting work (Required)

Work Location: In person