Senior Data Scientist
Endpoint
Real estate is the largest asset class in the world—and yet it has also been one of the slowest to adopt innovative, new technologies. It has become increasingly important for the industry to evolve alongside a consumer-base who are accustomed to mobile-first, on-demand, and personalized experiences in every area of their lives. Founded in 2018, Endpoint emerged from a collaboration between First American and BCG Digital Ventures, the venture capital arm of the Boston Consulting Group. The new company combines First American’s title and settlement expertise, with the innovative approach of an agile technology company, to provide a seamless real estate closing from start to finish. At Endpoint, we believe the combination of modern technology, a standardized and simplified closing process, and a highly dedicated team of people will completely change the industry – and deliver an experience that instills the joy of an effortless close for all.
Endpoint is looking for a talented and ambitious individual to join our growing Data Science team. This team is responsible for driving research and development at Endpoint, finding innovative solutions to challenging business problems facing the organization.
The ideal candidate will be a problem solver that finds joy in learning, experimenting, and building solutions in a fast-moving environment. Each problem is unique, and the ability to analyze a problem, research potential solutions, develop the necessary skills, and build a production-ready solution during the course of a project will be key to your success.
Senior Data Scientists are expected to have extensive modeling experience, strong communication skills, and (most critically) be able to identify business problems and to drive a project from inception to conclusion. Through experience and study, you know what pitfalls to look for (and how to avoid them) and can make informed decisions balancing performance, stability, explainability, and complexity.
*We are open to remote candidates for this role
As a Senior Data Scientist, you will use your skills to:
- Collaborate with key stakeholders to break down, understand, and solve some of the most complex analytical problems facing our business
- Analyze, process, and evaluate large data sets to identify potential issues, determine suitability for modeling, and develop data-driven solutions
- Help develop tools and other reusable components related to data preparation and modeling
- Develop and evaluate predictive models, weighing the costs and benefits of each potential approach
- Work with Engineering to productionalize models and tools developed by the Data Science team
- Present your findings and solutions to senior leadership throughout the organization
- Identify business problems, develop project plans, and drive development from start to finish
- Mentor junior team members and provide guidance
You'll come to Endpoint with:
- A passion for breaking down, understanding, and solving challenging problems
- The ability to both work independently and as part of a team
- The desire to continue growing and learning, to learn new techniques and tools, and to share your learnings with the team
- Strong communication skills (verbal and written) and ability to coordinate efforts on large teams consisting of both technical and non-technical members
- Advanced degree (MS or PhD) in Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, Statistics, or other quantitative field
- 4+ years professional experience working as a Data Scientist
- Bonus: Experience with projects involving Automation, Natural Language Processing (NLP), Optical Character Recognition (OCR)
- Proficient with Python and the typical Python-based data science stack (pandas, numpy, Jupyter, scikit-learn, cython), multi-threaded/parallel processing, SQL, and Spark
- Bonus: Proficiency with C/C++, Java, Scala, TypeScript, R, GraphQL, AWS, Snowflake, graph databases, Keras, Tensorflow, Pytorch, MxNet, spaCy
- Proficient with some of the most common supervised and unsupervised learning techniques, including (but not limited to) linear regression, logistic regression, random forest, gradient boosting, K-nearest neighbors, and k-means clustering.
- Bonus: Experience with anomaly detection, time-series analysis, "explainable" AI, semisupervised learning, neural networks, and deep learning techniques
Why work at Endpoint:
- You will have a lot of responsibility and many opportunities to advance your career
- You will get first-hand experience of working for a well funded early stage startup
- Your hard work, ownership, and self-sustainability will be greatly valued
- We offer great benefits - Health, Dental and Vision, 401K match
- Dog-friendly office, fully-stocked snack bar and weekly catered lunches
- Ability to mold your career and make an immediate direct impact.
- Competitive compensation, including a Long Term Incentive Plan
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Endpoint is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.