Part-Time Data Scientist — ML Tools, Pipelines & Impact

Ingersoll Rand; Downey (CA); On-site; USD 142,000 - 201,000; Part time

Benefits offered by this job

Mentorship

Benefits package

Flexibility to grow without relocating

Job summary

Ingersoll Rand in Downey, CA seeks a Data Scientist to build and optimize data tooling with dbt, PyTorch, and modern tech. You’ll own experiments, mentor teammates, and deliver robust solutions valued at $142k–$201k annually.

The role is part-time with real responsibility, flexible scheduling, and opportunities to influence cloud costs and performance while remaining in California. You’ll collaborate across teams to ship reliable data products and contribute to a culture of experimentation.

Qualifications

• Ability to thrive both independently and as part of a tight-knit team.
• Customer-focused outlook with strong interpersonal skills.
• Proven leadership experience guiding senior-level initiatives.
• Comfort with part-time arrangements and the rhythms of a clarity-seeking workplace.
• Comfort steering technology conversations toward a decision.
• A communicator who can disagree without making it personal.
• The reliability that lets a manager stop checking in.

Responsibilities

• Question the experiment-friendly Seaborn pattern everyone copied and propose something cleaner.
• Prototype proof-of-concept solutions for emerging technology requirements.
• Profile Goal Setting memory use and chase down the leaks crashing Downey nodes.
• Trim Ingersoll Rand's cloud bill by right-sizing the Python infrastructure in Downey, CA.
• Keep the Problem Solving build pipeline green so Downey deploys never wait on a red light.
• Refactor the technology module Ingersoll Rand has been afraid to touch.
• Cut dbt cold-start times so Ingersoll Rand functions wake before CA users notice.

Skills

Team collaboration

Leadership experience

Interpersonal skills

Independent work

Decision making

Part-time adaptability

Tools

dbt

PyTorch

Job description

Ingersoll Rand in Downey, CA seeks a Data Scientist to build and optimize data tooling with dbt, PyTorch, and modern tech. You’ll own experiments, mentor teammates, and deliver robust solutions valued at $142k–$201k annually.

The role is part-time with real responsibility, flexible scheduling, and opportunities to influence cloud costs and performance while remaining in California. You’ll collaborate across teams to ship reliable data products and contribute to a culture of experimentation.