Data Science Manager
About Us:
Want to join a company on the cutting edge of technology and travel? Want to be part of a fantastic and fun company that’s revolutionising the online travel advertising space?
Sojern works with 93% of the Fortune 500 travel companies and has spent more than a decade analyzing the complete traveler path to purchase. We drive travelers from dream to destination by activating multi-channel branding and performance solutions on the Sojern Traveler Platform for more than 8,500 customers around the world.
Sojern made Deloitte’s Technology Fast 500 list for the last 6 years in a row, and was recognised on the Top Company Cultures list by Entrepreneur Magazine and named a Best Place to Work by AdAge. The company is headquartered in San Francisco, with teams based in Dubai, Dublin, Hong Kong, Istanbul, London, Mexico City, New York, Omaha, Paris, Singapore, and Sydney.
Need more convincing that Sojern is a great place to work? Check out our Glassdoor reviews!
About the Team:
The Data Science Engineering team develops methods to optimize advertising campaigns, defines new methods for measuring campaign performance, and applies machine learning at scale with more than 5000 models in production. Example projects include:
Bayesian statistics to model conversion rates and revenue
Thompson sampling and linear programming to balance campaign objectives
Stratified sampling and power analysis to run controlled experiments
Using Tensorflow and XGBoost on Kubeflow to predict a traveler’s propensity to convert
And as a part of engineering, we own the full data product life-cycle: from analysis and prototyping to production development.
The Role:
We are looking for a Manager of Data Science to drive business, process and team impact with data science, team empowerment and collaboration.
Responsibilities:
Write production code in Python, and can reason about algorithmic efficiency.
Inspire with the way you authentically communicate with data scientists, engineers, product managers, and leadership.
Solve data science challenges and innovate in the context of trade-offs.
Coordinate, collaborate and delegate to make sure that products are successful.
Solid understanding of what drives the products that you work on.
Drive business impact by designing, architecting, implementing, and delivering data-driven products.
Ensure your team is successful with inclusivity, mentorship, feedback, recognition, and career goals.
Partner with product managers and engineering leadership to create clarity, positive change and improve technology strategy.
Prioritize company and team goals ahead of your own.
Champion diversity on the data science and engineering teams.
Serve as a multiplier helping the team be more than the sum of its parts.
Determination and initiative to fill in gaps and drive projects to completion.
What you bring to the table:
At least 6 years experience as a data scientist
At least 2 years of experience within the Ad Tech ecosystem
At least 2 years of experience managing (player/coach).
Hands-on experience building production-level ML and data products.
Expert-level understanding of data science topics.
Experience writing code and managing reports.
Experience applying agile methods to data science, and ideally have been a scrum master.
MS or PhD in computer science or a quantitative discipline.
Perks:
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, sexual orientation, age, marital status, veteran status, or disability status.