Data Scientist
Zumper SAN FRANCISCO, CA, USA Competitive Long term Any
About Zumper
       Zumper is making renting an apartment as easy as booking a hotel. With over 50 million annual users across our two brands Zumper & PadMapper, we’ve generated support from top-tier investors and have raised $90 million to date. Our focus is to continue to build an amazing team. We’re searching for bright, passionate, hard-working people to help build extraordinary products and revolutionize the rental industry.
Job Description

       We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve the apartment rental experience. We will rely on you to extract valuable business insights and help apply them to product and process.

       In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your Responsibilities:

  • Collaborate with engineering and product development teams
  • Identify valuable data sources and automate collection processes
  • Present information using data visualization techniques
  • Do ad-hoc analysis and presenting results in a clear manner
  • Build predictive models and machine-learning algorithms
  • Process, clean, and verify the integrity of data used for analysis
  • Create automated anomaly detection systems
  • Develop internal A/B testing procedures
  • Automate scoring using machine learning techniques

Requirements

Skills and Qualifications:

  • 1-2 years experience as a Data Scientist or Data Analyst
  • Analytical mind and business acumen
  • Great communication skills
  • Data-oriented personality
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Python, Tensor Flow, Keras, Theano, nltk, pandas, scipy, sk-learn, etc

Bonus Skills:

  • Snowflake
  • Mode
  • Fivetran
  • Postgres / Postgrs (good understanding of SQL if not Postgres)
  • AWS
  • Scrapy
  • Excel / Google Sheets
  • Django

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