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This company helps real estate owners and investors get the best financing for their property. We bring together Humans + Technology to provide the best in real estate capital markets advisory to their clients. Backed by leaders in commercial real estate and venture capital, we are excited to leverage incredible user experiences, smart technology, and beautiful workflows to bring fairness and transparency to this $500+ billion industry.
They are looking for a data junkie who loves to use data to solve a wide variety of challenging problems. In this role, you will be involved in deriving insights by sourcing and combining proprietary, third-party, and public data sources to power all aspects of our business including lead sourcing, deal placements, evaluating credit risk and much more. You'll also be building and managing data lake-houses and contribute to the engineering of our data infrastructure. They are looking for a hands-on problem solver who has strong communication skills and enjoys taking ownership and driving key initiatives.
Data Scientist / Engineer - New York
| Discipline | Software |
| Job reference | 13031 |
| Salary | $170,000 - $200,000 |
| Consultant name | David Salam |
| Consultant email | david@projectusconsulting.com |
They are looking for a data junkie who loves to use data to solve a wide variety of challenging problems. In this role, you will be involved in deriving insights by sourcing and combining proprietary, third-party, and public data sources to power all aspects of our business including lead sourcing, deal placements, evaluating credit risk and much more. You'll also be building and managing data lake-houses and contribute to the engineering of our data infrastructure. They are looking for a hands-on problem solver who has strong communication skills and enjoys taking ownership and driving key initiatives.
Roles and Responsibilities:
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- Write beautiful Python code that's focused on scalability, testability, and maintainability
- Manage and execute data lake-houses that power the needs of our business verticals
- Architect, design, and build data solutions for a plethora of features/products we have in the pipeline
- Own the model development lifecycle: data sourcing, exploration, design/back testing, algorithm development, deployment, monitoring, A/B testing, and performance tuning
- Cross-functional collaboration with product, design, marketing, and engineering team on building new features
Hit us up if you
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- Have a Master's or PhD in relevant quantitative field such as computer science, mathematics, statistics, machine learning, data science. Or have 5 years of relevant industry experience
- Have very strong programming ability in Python
- Are very proficient in SQL, especially when applied to data exploration and manipulation
- Have experience with public cloud platforms (AWS)
- Have experience with building statistical or machine learning models, model serving infrastructure, and deploying models to production
- Have experience with data warehouse/lake, schema design, and dimensional data modelling
- Have excellent communication skills and works well with others across all aspects of the business
- Are self-motivated and dislike micro-management
- Feel passionate about the latest technologies
- Are a team player
Bonus points if you have
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- Experience with building NLP models applied to data extraction
- Experience building pipelines with SQL and python-based ETL frameworks
- Experience working with distributed computing (MapReduce, Hadoop, Hive, Spark)
- Worked in a high-growth company.
Benefits
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- 100% medical, dental & vision insurance coverage for you
- Unlimited PTO
- Delicious and Healthy Lunch Daily
- Flexible WFH
- Work with really amazing people
