BoomTown
Charlestown, SC
201-500 employees
Discover the industry's top real estate software including lead generation, CRM, real estate websites and more.
Prior Listings
Data Scientist
Data Scientist
This job is no longer open
BoomTown is looking for a Data Scientist to join a cross-functional team that serves as a virtual center of data excellence for the company.
As the Data Scientist, you will conduct data driven research initiatives to help BoomTown stakeholders gain deeper insights into what drives important outcomes. As a member of the data team, you will work closely with and be supported by data engineers and analysts. However, you will also work closely with product owners, software engineers and business executives who will all place a premium on your services. You will participate in software development projects as we create more machine learning supported product functionality. You will be in a fast-growing and rapidly changing environment that will demand a continuous improvement mindset and a hunger for the next challenge.
Responsibilities:
- Lead investigations into the ongoing performance of BoomTown products and services
- Architect and design analyses that inform our evolving business and product strategy
- Understand and acquire data from large and varied sources (structured/unstructured) including web/clickstream data, mobile and core business application data, and third-party resources
- Research, evaluate, implement, and present statistical and Machine Learning models to provide actionable insights and expand product functionality
- Cultivate relationships with key stakeholders and work cross-functionally to design and lead large-scale analytical projects, deliver business impact and communicate findings to senior leadership
Qualifications:
- Minimum of Bachelor's Degree in a STEM related major
- Minimum of 2+ years of experience in a Data Science role, preferably at a SaaS company
- High level of proficiency in SQL and Python
- Demonstrable experience with advanced statistical approaches to quantitative analysis
- Demonstrable experience applying common machine learning techniques across supervised and unsupervised domains (clustering, decision tree learning, regression, SVM, etc.)
- Working knowledge of common SDLC methodologies along with object oriented programming principles
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner that is easily understood by business stakeholders
- A passion for learning, mastering and applying new technologies and methods
Would be nice if you had:
- Had experience with the following: AWS environment/services (specifically Sagemaker, Lambda, SNS, SQS), Apache Airflow, Google Analytics, DataRobot
- Had successfully taken a project (machine learning model or statistical forecast) from discovery through to production deployment
- Master’s Degree in an area related to Data Science, Computer Science or Statistics
What is BoomTown?
BoomTown is a software platform designed to help real estate professionals generate leads, manage contacts, and run their business better. Over 40,000 of the industry’s best use our products to close more deals. Their success is trademarked with growth. It’s why the Real Trends Thousand is dominated by BoomTown clients. We bring the technology and experts to turn opportunities into closings.
With our product suite, you get access to world-class lead generation, consumer-websites, CRM technology, and a powerful mobile app. Together, they create a seamless experience so you can attract, convert, and win new clients easily.
Our Benefits:
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a 401k retirement plan, comprehensive healthcare, discretionary PTO after a year, and a quarterly wellness reimbursement towards health and fitness.
BoomTown is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
This job is no longer open