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500px // photography community
Toronto    Posted: Tuesday, June 11, 2019
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The Company

Our mission is to connect the worlds photographers. Every month, millions of people from around the world use our website & mobile apps to find, share, & get rewarded for the worlds most inspiring photography.

We take pride in the products we build & love what we do. Our company culture values mentorship, ownership, collaboration, & getting stuff done.

Our data layer includes: Python, Luigi-based ETL pipeline, Kinesis, S3, Athena, EMR, Redshift, Redash, Looker, & various other services.

The Job

We are looking for an experienced Team Lead who can manage the data scientists & engineers, & help the company moving forward confidently with data-informed decisions in all aspects.

What You'll Be Doing

  • Recruit, lead & mentor the data team members to conduct data collection, analysis, & reporting, supporting 500px business objectives & initiatives.
  • Work closely with the product, marketing & design teams to define & answer business questions in a measurable & actionable manner.
  • Develop data collection plans, work with other engineering teams to execute them, & ensure the integrity of data collected.
  • Accountable for ensuring delivery of data products & reports against the companys needs & set timelines.
  • Have a comprehensive understanding of the data layer & its major components.
  • Identify major data debts that would hurt the data analysis or reduce the team efficiency, & prioritize them according to their business impacts.
  • Develop reports, dashboards & key tools for tracking KPIs & critical milestones; provide summary of status & tracking against established timelines & KPIs on a regular basis to key stakeholders across the business line & senior leadership team.
  • Communicate the main business goals & vision to team members to ensure good team alignment.
  • Build quality data team through knowledge sharing, personal development events, & other activities.
  • Evaluate individual performance & conduct regular 1-1s to recognize each individuals achievements, discuss areas of improvements, & help engineers develop career growth plans.
  • Educate the rest of company about data-driven decision making & self-serve BI solutions.

What the Ideal Candidate Will Have

  • Demonstrated leadership experience
  • A Bachelor's or Masters degree in statistics, computer science, math, physics, or a related quantitative field.
  • 5+ years of experience with statistical sciences: statistical modelling & data mining.
  • Expert knowledge of MySQL and/or PostgreSQL.
  • Hands-on experience with Python and/or R.
  • Excellent communication skills.
  • Empathy for your users & teammates.
  • Grit: when the need arises you are willing to work through messy details with your team to achieve success; you persevere when others fall away.
  • A bias towards action: the ability to cut through any issue, identify the salient points, & rally a team around addressing them
  • High standards: for yourself & your team

You'll get bonus points for

  • A love of photography & familiarity with the 500px platform
  • Knowledge of advanced data analysis topics such as: causal inferences, data simulation, or correlated data analysis (e.g., survival analysis, longitudinal analysis, time series analysis & forecasting)
  • Working experience with python libraries for data wrangling, visualization, mining & modelling (e.g., Pandas, NumPy, Matplotlib, Seaborn, Statsmodels, SciKit-Learn, NLTK)
  • Working experience with R packages for data wrangling, visualization & modelling (e.g., reshape2, dplyr, stringr, lubridate, ggplot2, car, forecast, randomforeset, Caret, survival)
  • Knowledge of business intelligence such as SaaS metrics, time series forecasting, or pricing analysis
  • Knowledge of data warehousing & ETL
  • Experience with web scraping
  • Knowledge of NoSQL (MongoDB)


  • Interesting technical challenges
  • Competitive salaries
  • Flexible hours
  • Catered lunches, snacks & drinks
  • Great health & dental benefits
  • Professional development opportunities

Our Interview Process

  • Phone screen: < 30 min conversation with a hiring manager.
  • Data challenge: a take-home test to analyze a sample of 500px dataset & build an insightful presentation.
  • In-person interviews: 2-3 hours at our office where you'll meet multiple members of our team.


We believe diverse teams perform better, & we seek to increase our overall team diversity. We make active efforts to reduce the impact of unconscious bias in our hiring process.

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