Mentorship-Driven Data Scientist | Flexible Hybrid Role

Egreenservices; Springfield (OR); Hybrid; USD 85,000 - 119,000; Full time

Job summary

Social Innovation Lab in Springfield, OR is hiring a Data Scientist to deliver mid-level features within an 85,000–119,000 salary range while emphasizing mentoring over constant meetings.

You will architect fault-tolerant distributed systems using Looker and Power BI, tune caching for the Springfield launch, and monitor feature-engineering budgets. Ideal candidates are communicative, willing to commute, and thrive in a hybrid cadence.

Qualifications

• A communicator who writes the meeting recap nobody asked for but everyone reads.
• Willingness to commute to Springfield, OR work flexibly as needed.
• Comfort with the hybrid cadence of a Springfield-based operation.
• 3 years of learning when to trust the process and when to break it.
• A Social Innovation Lab mindset: scrappy today, scalable tomorrow.

Responsibilities

• Deliver mid-level-quality features within the $85,000 - $119,000 Data Scientist mandate
• Architect fault-tolerant distributed systems leveraging Looker and Power BI
• Tune Power BI caching so Social Innovation Lab survives the Springfield launch spike on the same hardware
• Watch Feature Engineering error budgets and pump the brakes before Springfield, OR burns through them
• Build the deeply collaborative Negotiation feature that wins back the OR accounts Social Innovation Lab lost
• Defend Social Innovation Lab uptime through the 2 a.m. Springfield pages nobody volunteers for

Skills

Communication

Hybrid work

Willingness to commute

Adaptability

Mentoring mindset

Tools

Looker

Power BI

Job description

Social Innovation Lab in Springfield, OR is hiring a Data Scientist to deliver mid-level features within an 85,000–119,000 salary range while emphasizing mentoring over constant meetings.

You will architect fault-tolerant distributed systems using Looker and Power BI, tune caching for the Springfield launch, and monitor feature-engineering budgets. Ideal candidates are communicative, willing to commute, and thrive in a hybrid cadence.