LandOffer is an early-stage startup building tools to help people discover opportunities and manage their job applications. We are hiring a Data Scientist to improve the quality of job data, evaluate matching approaches, and help the team make sound product decisions.
Role details
Full-time; fully remote within the United States. One opening.
Base salary: $110,000-$150,000 per year.
Visa sponsorship is available, subject to eligibility and the applicable process.
What you will do
- Explore job and product data, investigate quality problems, and define useful metrics.
- Develop reproducible analyses and baseline models for job categorization, relevance, and matching.
- Design evaluations and experiments that distinguish meaningful improvements from noise.
- Work with engineering on reliable datasets and practical model deployment requirements.
- Explain findings, limitations, and recommendations clearly to product and business teammates.
- Handle user data carefully and document data sources, assumptions, and evaluation methods.
What we are looking for
- Working knowledge of Python and SQL for analysis and data preparation.
- A solid understanding of statistics, experimental design, and machine learning fundamentals.
- Experience completing an analytical or modeling project with clear validation and understandable results.
- An ability to identify leakage, sampling bias, and misleading metrics.
- Clear written communication and an interest in job-search products.
Relevant academic research, internships, independent projects, and professional experience are all welcome.
Helpful experience
Text data, information retrieval, recommendation systems, product analytics, and visualization tools.
Get to know LandOffer (optional)
You are welcome to explore https://landoffer.ai/?utm_source=indeed&utm_medium=job_post&utm_campaign=landoffer_hiring_2026_11&utm_content=data_scientist to learn about the product and its users before applying. You may browse public information or try available free features. Product use, registration, extension installation, and purchase are not application requirements.
How to apply
Apply through Indeed with your resume. You may include a project, research summary, or portfolio. If you wish, share one product metric you would investigate and why. Product feedback is optional; applications are assessed on relevant skills, experience, and the work you share.
Pay: $110,000.00 - $150,000.00 per year
Work Location: Remote
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