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Sr. Data Scientist at Zumper (Providence, RI)

Company Overview

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 Summary

We are looking for a Sr. 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 will have the opportunity to shape the Data Science team and guide how data products are built for the entire organization. We also want to see a passion for machine learning, research, and mentorship of junior data scientists.

Responsibilities and Duties

  • 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
  • Guide the development of data products used across the organization

Qualifications and Skills

  • 5+ years of experience in Data Science
  • Analytical mind and business acumen
  • Great communication skills
  • Data-oriented personality
  • Good applied statistics skills, such as identifying distributions, statistical testing, regression, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, tree based methods, etc.
  • Experience with common python data science packages such as pandas, numpy, scikit-learn, statsmodels
  • Experience with data visualisation tools, such as matplotlib, bokeh, plotly
  • Proficiency  querying both structured and unstructured data
  • Experience with Deep Learning packages (Keras, tensorflow, mxnet) and NLP packages (nltk, spacy)
  • Deploying models in production environments
  • Experience building recommendation engines (both offline and online validation metrics

Benefits and Perks

  • 401k plan + 3% company match
  • Stock options
  • Flexible vacation policy; work hard and take time when you need it
  • $150/month mass transit/rideshare stipend
  • $65/month gym reimbursement
  • Catered meals and stocked kitchen with coffee, snacks and beverages
  • Team retreats every quarter
  • Weekly insight into all major company metrics
  • Up to 12-weeks of paid parental leave
  • Quarterly Hackathons (not overnight!) 

What We Value

  • Be Resilient: Work hard, while displaying passion, perseverance and commitment
  • Continuously Improve: Be intellectually curious, problem solve, and move quickly while producing quality results
  • Collaborate: Work well with others, share knowledge and contribute positively to culture and work environment