bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesGatherUpLead Data Scientist (AI/ML)

Lead Data Scientist (AI/ML)

GatherUp · San Francisco Bay Area, California · Remote · Active · $140,000–$180,000 / year · Greenhouse

Job facts

FieldValue
CompanyGatherUp
TitleLead Data Scientist (AI/ML)
Normalized title-
Department / teamEngineering
LocationSan Francisco Bay Area, CA, United States
Work modelRemote / Remote
Employment type-
Salary$140,000–$180,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-01 / 2026-05-29
Changed / last seen2026-06-02 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from GatherUp.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco Bay Area.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGatherUp
Sourcec7fce477-d013-46a1-8c82-6b6496a1e0ca
ATS providerGreenhouse

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 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

Full job record

Job IDb37f89a23ca09f35710699524271f3f376853c19
Org ID1d867618-6d07-40b1-9f1f-906c6c6cff25
Source IDc7fce477-d013-46a1-8c82-6b6496a1e0ca
Board IDc7fce477-d013-46a1-8c82-6b6496a1e0ca
Providergreenhouse
Provider Job Key4205154009
TitleLead Data Scientist (AI/ML)
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco Bay Area, California
DepartmentEngineering
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco Bay Area
Salary RawCompensation: $140K–$180K (base salary + bonus) + Equity Full Benefits: 100% covered medical, dental, and
Salary Min140,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/gatherup/jobs/4205154009
Apply URLhttps://job-boards.greenhouse.io/gatherup/jobs/4205154009
First Seen At2026-05-29 22:43:10Z
Last Seen At2026-06-06 07:34:59Z
Last Checked At2026-06-06 07:34:59Z
Last Changed At2026-06-02 12:13:27Z
Inactive At
Source Posted At2026-04-01 00:08:34Z
Source Updated At2026-06-02 05:28:05Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=gatherup/date=2026-06-06/2026-06-06T07-34-59-818Z-dbb808dbb98137b9d2729d5e763ea05bac29c6aca137dfc993005f77700a8968.json
Event Fields
{
  "content_hash": "facc617b9fb6f3fffa151cbaab935a58947ba23925bba2167be8137f7ff0961f",
  "source_hash": "91d2e828d05545ec3b9fc51f2ff77e143a69663546a1ca71e051be87e04acf5f",
  "last_changed_at": "2026-06-02T12:13:27.732Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco Bay Area, California",
    "city": "San Francisco Bay Area",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.85
  },
  "salary_max": 180000,
  "salary_min": 140000,
  "inferred_at": "2026-06-06T07:34:59.893Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco Bay Area, California",
      "city": "San Francisco Bay Area",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Lead Data Scientist (AI/ML)",
  "offices": [
    {
      "id": 4026194009,
      "name": "United States (In Office)",
      "location": "Walnut Creek, California, United States",
      "child_ids": [],
      "parent_id": null
    },
    {
      "id": 4026193009,
      "name": "United States (Remote)",
      "location": "Remote",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco Bay Area, California"
  },
  "metadata": [],
  "updated_at": "2026-06-02T01:28:05-04:00",
  "departments": [
    {
      "id": 4026288009,
      "name": "Engineering",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "GatherUp",
  "requisition_id": 4119698009,
  "first_published": "2026-03-31T20:08:34-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/b37f89a23ca09f35710699524271f3f376853c19?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/1d867618-6d07-40b1-9f1f-906c6c6cff25JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/c7fce477-d013-46a1-8c82-6b6496a1e0caJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/b37f89a23ca09f35710699524271f3f376853c19/eventsJSON