Data Operations Lead in Thesis Driven

FULL_TIME

  Remote | Senior | Full time | Data Science / Analytics

Gross salary $4000 - 6500 USD/month

11 applications
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Requires applying in English

Thesis Driven is a specialized real estate media and data company dedicated to providing high-quality prospecting data to companies in the real estate industry. As a relatively small but highly profitable company, we are focused on scaling our operations.

We’re looking for a hands-on data operator to own and scale the enrichment of a high-value dataset of real estate developers across the U.S. and Canada. This role will drive scraping pipelines, integrate public data (e.g. building permits), and incorporate AI-powered enrichment workflows. You’ll work at the intersection of data engineering, product strategy, and real estate intelligence.

Apply without intermediaries through Get on Board.

Responsibilities

  • Maintain and expand scrapers targeting developer websites, permit portals, and public records
  • Integrate new data sources (APIs, CSVs, public datasets) into our core developer catalog
  • Build and refine AI-powered workflows using LLMs to enhance data (e.g., entity extraction, classification)
  • Normalize and de-duplicate records across multiple sources
  • Create lightweight QA processes and tools to monitor data quality
  • Make strategic decisions about which data points and sources are most valuable
  • Manage a small team of data entry specialists and freelancers

Qualifications and requirements

  • Strong Python skills (esp. for scraping, data wrangling, and light ML)
  • Experience working with unstructured and semi-structured data
  • Familiarity with public datasets (e.g., permit data, zoning, business registrations)
  • Prior work with LLM APIs (OpenAI, Claude, etc.) in a data context
  • Strong spoken and written English; capable of asynchronous remote communication

Nice-to-have skills

  • Familiarity with real estate or proptech data models
  • Experience with geospatial data
  • Exposure to orchestration tools (Airflow, Prefect) or no-code automation (Make, Zapier)
  • Familiarity with no-code tools like Bubble (our stack)

Conditions

We are a small yet profitable company committed to scaling our business and providing a dynamic work environment that encourages autonomy and professional growth. We support a remote work model, allowing you to join our team from anywhere while contributing to our ambitious growth plans.

By joining Thesis Driven, you will be part of a nimble organization that values your expertise and offers opportunities to lead sales initiatives in an exciting niche market. You will work directly with a motivated team focused on delivering data solutions that make a meaningful difference to our clients.

GETONBRD Job ID: 54873

Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Informal dress code No dress code is enforced.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

  1. Jobs
  2. Data Science / Analytics
  3. Thesis Driven
  4. Data Operations Lead
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