Job Description
What You'll Do:
Design deploy fine-tune and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases.
Improve data quality by cleaning the company’s data and sourcing information from new data sources.
Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.
Translate business problems into scalable AI/ML solutions particularly using LLMs in areas
such as copilot systems intelligent voice assistants and work order processing optimization.
Collaborate cross-functionally with teams to develop refine and scale data-driven procedures and workflows.
Foster a positive team environment.
Ensure confidentiality and integrity of internal and external data.
Perform ad-hoc projects and other duties as assigned.
You Should Have:
PhD or Master’s degree in Math Physics Statistics Computer Science or other related fields
1-3 years of experience as a data scientist working closely within a business
Strong mathematical and statistical skills
Programming Languages: SQL Python
Understanding of ETL tools and database architecture
Familiarity with pytorch pandas and cloud platform like AWS Azure and GCP
Prompt engineering experience
Experience using a machine learning framework e.g. scikit-learn pytorch or similar
Experience with a statistical software (e.g. R SAS)
Experience with natural language processing
Advanced knowledge of Data Warehousing and BI best practices
Experience with big data tools such as Spark Hadoop etc.
Experience with Tableau or Superset
Verbal Communication – Proficient
Written Communication – Proficient
Teamwork – Advanced
Relationships – Advanced
Organizational Awareness – Advanced
Learning Agility – Advanced
Analysis – Advanced
Problem Solving – Advanced
Process Orientation – Advanced
Prioritization – Advanced
Customer Service – Proficient
Process Orientation – Advanced
Negotiation - Advanced
These are the professional skills we would expect from an individual fully established in this role.
Skills Required
- PhD or Master's degree in Math Physics Statistics Computer Science or related field
- 1-3 years of experience as a data scientist
- Strong mathematical and statistical skills
- Programming Languages: SQL Python
- Understanding of ETL tools and database architecture
- Familiarity with pytorch pandas and cloud platforms like AWS Azure and GCP
- Prompt engineering experience
- Experience using a machine learning framework e.g. scikit-learn pytorch or similar
- Experience with a statistical software (e.g. R SAS)
- Experience with natural language processing
- Advanced knowledge of Data Warehousing and BI best practices
- Experience with big data tools such as Spark Hadoop etc.
- Experience with Tableau or Superset
What the Team is Saying
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What We Do
Lessen is the tech-enabled end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen’s technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem—including investors owners managers and service providers. The company leverages a network of over 30000 vetted qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen LLC is a venture-backed privately held company with offices in Scottsdale and Chicago. To learn more visit Lessen.com.
Why Work With Us
We make caring for and improving properties simpler faster better. Powered by tech and perfected by people we deliver best-in-class transformational solutions to deliver assets to market faster keep businesses up and running and improve customer and resident experiences. We're property services simplified.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Lessen managers decide how teams work best—office home or hybrid. We value flexibility connection and outcomes investing in tools that keep everyone aligned and focused on delivering great results together.
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Date Posted
05/30/2026
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