Senior Data Scientist/Machine Learning Engineer

  • Dallas, TX

Full Time

    Job Description

    Senior Data Scientist/Machine Learning Engineer

    Industry: Real Estate Investment

    Type: Hybrid

    • Collecting and analyzing real estate market data such as transactional data, property data, and economic indicators.
    • Developing and maintaining predictive models and algorithms to forecast real estate market trends and investment opportunities using techniques such as descriptive, predictive, and prescriptive analysis.
    • Designing and building machine learning pipelines to automate data processing and analysis.
    • Conducting research on new machine learning techniques and data science best practices to improve models and algorithms.
    • Ensuring data quality and accuracy and troubleshooting data issues as they arise.
    • Developing and implementing data security and privacy measures to protect sensitive real estate investment data.
    • Leading projects related to data science and machine learning for real estate investment.
    • Communicating insights and recommendations to stakeholders and staying up to date with emerging data technologies and tools in the real estate industry.
    • Ensuring data quality and accuracy and troubleshooting data issues as they arise.
    • Writing and maintaining documentation for data processes and procedures.

    • Bachelor's degree or higher in Computer Science, Statistics, Data Science, or related field.
    • Minimum of 5 years of experience in real estate investment data analysis, with a focus on predictive modeling and machine learning.
    • Strong programming skills in languages such as Python, R, SQL, and Java.
    • Experience with data visualization and business intelligence tools such as Tableau, Power BI, and Domo.
    • Expertise in descriptive, predictive, and prescriptive analysis techniques.
    • Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
    • Strong problem-solving and critical thinking skills.
    • Experience leading projects and mentoring junior team members.
    • Knowledge of the real estate industry and investment principles is a plus.

    About S2

    S2 Capital was founded in 2012 to build a national multifamily investment platform specializing in value add properties. S2 has acquired over $7 billion in multifamily (approximately 44,000 units) and successfully invested over $400 million in upgrades and renovations. Its affiliate, S2 Construction LLC, has managed construction/rehabilitation at all of its projects. S2 attributes its success to its people, creating relationships with industry leading investment and banking partners, staying disciplined in their investment strategy, and focusing on driving innovation, distinction, and excellence through all facets of multifamily ownership. S2 has ranked #14 and #72 on the Inc 500 list for 2015 and 2016 and was ranked the fastest growing Real Estate company in the country by Inc magazine 2 years in a row. S2 also placed #3 on the Dallas 500, was voted a Top 100 Places to Work by Dallas Business Journal, and ranked #21 nationally for 2018 Best Places to Work by Multifamily Leadership.

    For additional information on S2 please visit our websites |

    Equal Opportunity Employer