Data Analyst

Acabonac Farms LLC; New York (NY); Remote; USD 80,000 - 100,000; Part time

Job summary

Acabonac Farms LLC seeks a Part-Time Google Cloud & ML Engineer to develop and maintain a data pipeline and machine learning models. This remote role requires expertise in Google Cloud, SQL, and Python to enhance inventory and pricing forecasts. Applicants should have a robust background in ML tools and a collaborative spirit.

Qualifications

• Experience with Google Cloud and its services, especially BigQuery and Looker Studio.
• Strong skills in Python and relevant ML libraries needed.
• Must be an individual freelancer, not an agency or team.

Responsibilities

• Develop SQL-based forecasting datasets in BigQuery.
• Design, train, and deploy ML models for pricing and demand.
• Build dashboards in Google Looker Studio.

Skills

Google Cloud Console

BigQuery

Python

pandas

scikit-learn

XGBoost

TensorFlow

Looker Studio

Communication

Job description

Direct message the job poster from Acabonac Farms

Job Title: Part-Time Google Cloud & ML Engineer (Inventory & Pricing Models)

Company: Acabonac Farms

Location: Remote

Start Date: Immediate

Compensation: Competitive

About Us:

Acabonac Farms is a regenerative, direct-to-consumer farm based on Long Island, NY, dedicated to raising and delivering grass-fed and pasture-raised meats. We’re building proprietary, data-driven models to help us better forecast inventory and optimize pricing across our product portfolio.

The Role:

We are looking for a highly skilled individual (not an agency) to partner with us on a part-time basis. This role is critical to developing and maintaining our internal Google Cloud-based data pipeline and machine learning models.

You will work directly with the founder and analytics lead to improve our existing infrastructure and build out forecasting and pricing tools that power real-world decisions.

Key Responsibilities:

• Develop and maintain SQL-based forecasting datasets in BigQuery
• Design, train, and deploy ML models (e.g., XGBoost, TensorFlow) for demand forecasting and dynamic pricing
• Build and iterate on dashboards in Google Looker Studio for internal stakeholders
• Automate and monitor data pipelines and model retraining in Google Cloud Console
• Collaborate on model performance evaluation and profitability simulations

Required Qualifications:

• Proven experience with Google Cloud Console, especially BigQuery, Vertex AI or custom ML models, and Looker Studio
• Strong Python skills, including experience with pandas, scikit-learn, XGBoost, or TensorFlow
• Experience developing and interpreting inventory or pricing models preferred
• Strong communication skills — you’ll be a collaborative problem solver
• Must be an individual freelancer (not an agency or team)

Nice to Have:

• Experience with retail, eCommerce, or DTC inventory forecasting
• Familiarity with Shopify data models or Fivetran
• Understanding of price elasticity, margin optimization, or scenario simulations

To Apply:

Please send a short introduction, examples of relevant work (e.g., GitHub repos, dashboards, project summaries), and your availability to [e-mail]. We’re looking to move quickly.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Food and Beverage Manufacturing

Referrals increase your chances of interviewing at Acabonac Farms by 2x

Sign in to set job alerts for “Data Analyst” roles.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.