About the role
What will you do at GatherUp?
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 audiences
WHAT 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 team
WHO 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 integrity
WHY 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 rewarded
WHAT WE OFFER
* Competitive
Compensation
$140K–$180K (base salary + bonus) + Equity
* Full
Benefits
100% covered medical, dental, and vision for employee
* 401(k) Program: Invest in your future
* Flexible vacation policy
* Annual L&D stipend and continuous training and development opportunities
* Company laptop provided
LOCATION
* We have an office in Walnut Creek, CA
* We are a remote-friendly company for the right candidate
Which skills does this role require?
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Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
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- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
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