Data Scientist at Homesnap
Bethesda, Maryland, United States
🇺🇸 (Posted Sep 25 2018)
About the company
Homesnap is the market-leading national home search platform that provides real-time MLS data to consumers and free leads for agents. The integrated Homesnap platform delivers a superior home search experience to millions of consumers each month, while providing over 875,000 agents with access to powerful, intelligent mobile tools that accelerate their success.
With our powerful real estate data, we have the ability to make a huge impact on the industry. We need your analysis, scripting, and data mining skills to help us deliver even better products. Your knowledge of AI, statistics, and algorithms will be essential to our success.
We’re looking for a teammate, not an “employee”. Someone that has a real passion for building quality products and can take an idea and run with it. We want someone who enjoys what they do, loves to learn new things, and has the ability to work both independently and collaboratively with team members.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and deliver new products to market
Mine and analyze MLS data to drive optimization and improvement of product development, marketing techniques, and business strategies
Develop custom data models and algorithms to apply to data sets
Coordinate with different functional teams to implement models and monitor outcomes
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of their performance
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
As an integral member of our world-class development team, you'll help us develop the next generation of Homesnap products, apps and services. You’ll gain experience in many different areas and have the opportunity make a real impact to the company’s bottom-line.
For your hard work you will be rewarded with a competitive salary, equity, bonuses, generous paid time off, full benefits (medical, vision, dental, 401K), a stipend to deck out your workstation, and a great work environment where you get to build a groundbreaking and critically-acclaimed product.
Skills & requirements
Desired Skills and Experience
BS in Computer Science or equivalent experience.
Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SQL, Matlab, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Experience with 3 or more of the following technologies:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Knowledge of computer programming languages, especially C#
Experience querying databases and using statistical computer languages: R, Python, SQL etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Instructions how to apply
see the website
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