Data Scientist – Experimentation

Data Scientist – Experimentation

This job is no longer open
Help us move the world with images!
Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images. 

Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available through its industry-leading sites and The Getty Images website serves creative, business and media customers in almost 200 countries and is the first place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 200,000 contributors and hundreds of image partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. 

Getty Images is the starting point for our customers imagery search. Customers are confident that they are going directly to the best source of content, and that Getty's search engine will surface only the most relevant content to them and have the tools they need to refine and explore creatively. 

Our customers will be able to communicate effortlessly with Getty Images, in their quest to find the right imagery. Using text, voice, or visual channels, they will have the ability to describe their content needs creatively and thoroughly. Getty Images' search will eliminate the barrier that exists between a creative art director and a technical researcher. 

We are looking for a Data Scientist to join our AI/ML Team to own the measurement of our A/B tests. We are increasing the rate of tests to improve our customer’s Search and Browse experience, and we need your help to ensure we are confidently measuring impact to revenue and the customer experience.

You will define and develop key conversion metrics, build and analyze A/B experiments, and uncover product insights that impact over 50 million unique visitors from almost every country in the world, all with a direct tie to Getty Images’ revenue.

What you’ll be doing:

    • Develop Key Performance Indicators and other user/business metrics in close partnership with product management, data science, and engineering
    • Design and build Looker and other visualization dashboards around key metrics to enable data-driven product development and business insights
    • Analyze online experiment results (ex: A/B tests) that help us improve and fine tune our data-focused features, algorithms/models, and search products
    • Drive understanding of our users and their interaction with our products through analyses of user interaction and engagement
    • Partner with engineers, data engineers, and data scientists to drive creation of and improvements to user interaction logging and data pipelines

We’d love to hear from you if you have:

    • Relevant experience defining and developing metrics/KPIs and analyzing A/B tests
    • Experience with statistical methods for measuring online experiments
    • Experience with data access, processing, and analysis tools: SQL, Hive, Python, Spark, statistical analysis tools, etc.
    • Experience with data visualization, presentation, and reporting tools: Looker, MS Excel, Rundeck, Streamlit, etc.
    • Excellent analytical and mathematical skills
    • Ability to deliver on tight timelines and work quickly with cross-functional teams to uncover insights while maintaining close attention to detail
    • Excellent verbal and written communication skills across engineers, product, data scientists, leadership, and data analysts and scientists
    • Strong project management skills, including ability to prioritize, schedule, manage time effectively, deal with ambiguity, and meet deadlines in a fast-paced environment

Education Requirements:

    • A B.A, B.S., or M.S. in Statistics, Data Analytics, Data Science, Mathematics, Engineer, Computer Science, Economics, Sociology, Natural Sciences or any other equivalent quantitative field is preferred.
    • If you are self-taught and believe you are a good fit for this role, or have significant work experience, we would love to hear from you as well.
Due to the current conditions and impact of Covid-19, this position is a remote work from home 6 month contract with the potential to convert to a Full-time position in the future and may require relocating to Seattle, Bay Area, New York, Chicago or LA.

As we do not have a timeline to when conditions improve, we are prepared to offer flexibility with the timeline to relocate including relocation assistance. 

Visit Getty Images at to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.  For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends. Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery. 

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 
This job is no longer open
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