Senior Data Scientist, Analytics
Engineering | Dublin, Ireland | Full Time
About the Company
At Sojern, our mission is to become the #1 travel marketing platform. We build smart digital advertising products for the travel industry, powered by machine learning, data science and real-time traveler data with the goal of showing the right travel ad at the right time to the right traveler.
Our customers are hotels, attractions and tourism boards, and they use Sojern’s products to build direct relationships with travelers across social, mobile and the web. Now, more than ever, our thousands of customers rely on Sojern to drive visits, bookings, and ticket sales by engaging with travelers as they plan their travel.
Sojern has a values-driven company culture. We focus on the customer, embrace inclusion, and win as a team. And we encourage work-life balance by supporting flexibility around where and when you work.
About the Team
We are creating a new team focused on improving customer outcomes with experimentation, measurement and analytics which will drive outsized impact to Sojern’s bottom line. And because it is a new team, it will have major visibility and impact within the broader Optimization team.
The Optimization team at Sojern is a cross-functional group of around 25 people including product managers, analysts, applied scientists, data scientists and engineers. We develop systems to automate and optimize the targeting and efficiency of advertising campaigns, iterate on methods for measuring advertising performance, and apply machine learning at scale for thousands of customers. We deliver through the full data product life-cycle including analyzing, prototyping, production coding, testing, measuring and then iterating.
About the Role
We are looking for a Senior Data Scientist, Analytics to help improve the performance of our targeting and optimization products and help shape how this role can best impact customers.
The Experience We’re Looking For:
You have at least two years of work experience as a data scientist or analyst, ideally within the Ad Tech ecosystem.
You have designed and evaluated experiments (A/B tests) in an industry setting.
You have applied linear models to drive product decisions.
You have utilized complex data sets to drive decision making.
You have defined product metrics and helped create data-driven product roadmaps.
You have an MS or PhD in a quantitative discipline, or equivalent experience.
The Skills You Bring:
You wrangle, explore and model data.
You are comfortable with advertising metrics.
You create readable notebooks using the standard data science toolkit, preferably in Python including Pandas, Jupyter, Sklearn, & Statsmodels.
You are a SQL and spreadsheet wizard.
You can clearly explain how concepts from statistics such as hypothesis testing, sampling and/or Bayesian statistics can be applied to business opportunities.
You effectively communicate with data scientists, engineers and product managers.
You can work independently or as a part of a larger team.
You measure and then iterate.
The Value You Deliver:
You collaborate with analysts and other scientists to discover why.
You use your grit and initiative to fill in gaps and drive projects to completion.
You bridge the gap between different teams.
You ensure that our data products are delivering for our customers by designing, running and interpreting trustworthy A/B tests.
You help increase Sojern’s revenue by digging in on the data and identifying areas and approaches for product improvements.
Opportunities: Be part of a growing team with training and support to help you grow
Ownership: Lead creative and challenging projects
Give Back: We give 40 hours a year to volunteer and organize office volunteer programs with local organizations
Culture: Strong core business values, focus on teamwork, vibrant, social and fun environment
Snacks: Variety of snacks in the office
Meals: Monthly catered lunches & happy hours
Competitive Localized Benefits
IATA Travel Discount
Time Off: Flexible vacation days
At Sojern, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, gender orientation, sexual orientation, age, marital status, veteran status, or disability status.