Lead Data Scientist (AI/ML)

Job Description

About GatherUp

Customers don't window shop anymore. They search, compare, and decide online.

GatherUp helps elevate honest businesses in local search, ensuring these businesses show up, stand out, and win by strengthening their online presence leveraging reviews and customer experience feedback. Our AI-powered platform transforms customer signals into trust, visibility, and growth.

GatherUp is owned by Insight Integrity, a holding company focused on trust technology and digital integrity. Its portfolio includes The Transparency Company, an AI-powered review verification and protection platform, and GatherUp.Mission

As Lead Data Scientist at GatherUp, you'll own the design and development of AI/ML models that help shape the integrity of online commerce for local businesses.

This is a high-impact, hands-on role at the intersection of NLP, machine learning, and generative AI. You'll partner closely with engineering, product, and business stakeholders to build systems that help accomplish our mission, vision and business objectives.What You'll Do

Build AI/ML solutions end-to-end: design, data preparation, feature engineering, model selection, finetuning, training, deploying, validation/testing, and performance analysis

Ensure models are scalable, monitored, and continuously improved in production

Create reproducible training and evaluation pipelines (versioning, experiment tracking, robust validation, clear documentation).

Use behavioral, textual, and statistical signals to identify, monitor and detect anomalies and emerging patterns in data

Apply NLP techniques to analyze unstructured text and surface patterns at scale

Conduct exploratory research and data analysis to identify trends

Partner with engineering, product, and business teams to translate requirements into product

Communicate model behavior, trade-offs, and impact clearly to both technical and non-technical audiencesWhat Success Looks Like

Models are deployed, monitored, and demonstrably improving over time

Capabilities scale with business growth and adapt to new threat vectors

You've established data science best practices that raise the bar for the whole teamWho You Are

3+ years of experience in data science, machine learning, or a related field

Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts

Proven track record of building and deploying ML models in production environments

Strong experience with NLP and unstructured text data

Proficiency in Python and SQL

Experience training NLP models using ML frameworks and architectures such as PyTorch and RoBERTa

Experience fine-tuning LLMs for production use cases

Experience building and deploying RAG pipelines

Ability to communicate complex model behavior to non-technical stakeholders

Strong ownership mindset — you drive projects end-to-end and hold yourself accountable to outcomes

Bonus points if you have: a Master's degree in a quantitative discipline (e.g. Data Science, Computer Science, Statistics, Engineering, or related); experience in and passion for fraud detection, trust & safety, or review/content integrityWhy GatherUp

Your work directly supports the economic prosperity of local businesses and the future of local commerce

Clear expectations, real ownership, and performance-based upside

A fast-moving team where strong execution is recognized and rewardedWhat We Offer

Competitive Compensation: $140K–$180K (base salary + bonus) + Equity

Full Benefits: 100% covered medical, dental, and vision

401(k) Match: Invest in your future with company matching

Flexible vacation policy

Annual L&D stipend and continuous training and development opportunities

Company laptop providedLocation

We are a remote-friendly company, but ideally this role is hybrid based in our office in Walnut Creek, CA.

Full-time

Hybrid remote