8020REI

Senior Data Scientist

8020REI  â€˘  Colombia, CO / Bogotá, CO (Onsite)  â€˘  3 months ago
Apply
AI can make mistakes so check important info. Chat history is never stored.
70
AI Success™

Job Description

🌟 About Us:

At 8020REI,
you’ll play a key role in shaping the future of data analytics for the
real estate investment industry. You’ll have the opportunity to lead
data initiatives, work with cutting-edge technologies, and collaborate
with a dynamic team passionate about innovation and results.

Core Values at 8020REI:

  • Lead with Innovation: We constantly seek innovative solutions to improve our services and operations.
  • We’ve Got Your Back: Our dedication to surpassing expectations
    ensures we deliver outstanding support and forge lasting partnerships.
  • Our Word is Our Bond: We maintain a foundation of integrity, fulfilling promises and upholding transparency.
  • We are Limitless: Our culture encourages continuous personal and professional growth, empowering each team member to excel.
  • Bring Your A-Game: We believe in prioritizing wellness and family,
    enabling our team to perform at their best for our clients and each
    other.

🌟Role Overview

We are looking for a Senior Data Scientist to lead the evolution of our data science function and deliver production-ready machine learning solutions with measurable business impact. You’ll combine strong technical expertise in Python, PySpark, and statistical modeling with the leadership skills to guide and mentor a growing team.

Your work will focus on deploying predictive models, automating internal processes, and uncovering opportunities across key verticals such as property valuation, deal qualification, and data quality. You’ll collaborate cross-functionally, present confidently to senior stakeholders, and bring strategic clarity and technical depth to every stage of the data science lifecycle.

👨‍💻 👩‍💻Key Responsibilities

  • Lead the full development cycle of machine learning models, from prototyping and feature engineering to validation and deployment, ensuring scalable and production-ready solutions.
  • Apply statistical techniques such as A/B testing and back-testing, especially in imbalanced classification problems where precision and recall are critical.
  • Support strategic initiatives such as detecting property undervaluation, process automation, and the creation of predictive tools for new business verticals.
  • Translate complex findings into clear, actionable insights, delivering results to technical and non-technical audiences, including C-level stakeholders.
  • Act as mentor and technical guide for the Data Science team, reviewing code, setting standards, and fostering a collaborative, high-performing culture.

Qualifications

  • 5+ years of experience delivering end-to-end machine learning solutions in production environments.
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is a plus.
  • Advanced Python skills; proficient with Pandas, NumPy, scikit-learn, and Jupyter
  • Strong hands-on PySpark and distributed data processing.
  • Strong understanding of supervised/unsupervised learning, deep learning, and ensemble methods
  • Solid grounding in statistics, with real-world experience in imbalanced datasets
  • Skilled in SQL; familiar with NoSQL systems.
  • Experience building visualizations and BI tools.
  • Proven ability to mentor and support junior team members.
  • Strong analytical thinking and problem-solving mindset.
  • Fluent in Spanish and English; able to communicate assertively in technical and leadership contexts.
  • Confident presenter with experience addressing executives and cross-functional teams

🎖️Nice-to-Have Skills

  • Experience with MLOps (MLflow, SageMaker, Vertex AI, etc.).
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Exposure to causal inference, experimentation platforms, and AutoML frameworks.
  • Domain knowledge in real estate, finance, or applied industry analytics.Comfortable with Git, CI/CD, and collaborative coding practices.

Why Join Us?

Our ability to harness data for predictive insights and automation is critical. As we expand into new verticals and deepen our reliance on machine learning for areas like property valuation and process optimization, delivering production-ready solutions with measurable business impact is paramount. We need a Senior Data Scientist to lead this charge, deploying robust models and shaping our data science function to directly drive strategic decisions and propel company growth.

📝 What We Offer:

  • Competitive Base Compensation
  • Performance Bonus
  • Flex PTO (up to 26 days per year)
  • Home Office Upgrade Bonus
  • Health Bonus
  • Full-time Remote Work
  • Opportunity for growth and team-building potential
  • Ongoing support and budget to develop new skills

🚀 Join Us and Revolutionize Real Estate Data!

We'd
love to hear from you if you’re a visionary leader with a passion for
data and a drive to build and scale high-performing teams. Apply now and
help us transform the real estate investment landscape!

Join us at 8020REI and contribute directly to revolutionizing the real estate investment landscape!

8020REI

About 8020REI

We are a team of experienced investors and data experts who believe in working smarter, not harder. We live and die by the 80/20 principle, which means that 80% of results come from 20% of the effort.

Since 2017, our team has been actively investing and working with top investors. This has allowed us to analyze over 1.5 billion messages and calls and gain valuable insights into what works and what doesn’t.

More than just data, we empower investors with advanced machine learning and predictive analytics to find discounted properties and optimize outbound strategies.

Our commitment is to help each client have a minimum of 5X ROI on each channel and save significant amounts of time and money by marketing to the right seller with the right message at the right time!

Industry
IT & Software
Company Size
11-50 employees
Headquarters
North Miami, Florida
Year Founded
2019
Social Media