Data Scientist, TripleLift
$90-120k
Omnichannel advertisement marketplace
Be an early applicant
Omnichannel advertisement marketplace
201-500 employees
Be an early applicant
$90-120k
201-500 employees
Company mission
To elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting.
Role
Who you are
- Bachelor’s degree or higher in a related quantitative field (E.g. Mathematics, Computer Science, Engineering)
- 2+ years of work experience in Data Science / Machine Learning
- Familiarity with tools used in our tech stack is a plus (e.g. Python, Spark, AWS, Docker, DataBricks, ONNX, MySQL, Snowflake and Airflow)
- Familiarity with ML libraries like scikit-learn to quickly analyze data and prototype models that can be used in high volume distributed systems
- Familiarity with monitoring and measuring statistical modeling performance via dashboards and alerts, using tools like Prometheus, Grafana, Looker, etc., to make sure models are functioning effectively
- Solid software engineering fundamentals, including version control, testing, and writing clean, maintainable, and production-ready code
- Excellent technical communication skills
- Strong analytical and problem-solving skills
- Committed to a process of continuous learning and spreading subject matter expertise
What the job involves
- As a Data Scientist at TripleLift, you will contribute to experiments to understand bidding behaviors in our real-time marketplace, improving the performance of traffic shaping algorithms, and optimizing outcomes for Publishers, DSPs and TripleLift alike
- You will build proof of concept models, put ML models in production, create reusable features and data structures, and collaborate with cross-functional teams to drive Data Science initiatives forward
- You'll conduct research and experiments to improve the performance of our traffic shaping algorithms and maximize performance for our customers
- Build new traffic shaping optimization strategies based on cutting edge research, build proof of concept ML models, and drive them to successful outcomes in full scale production
- Support analytics projects in partnership with Product, Engineering, and cross-functional teams to support and influence product strategies
- Monitor and measure statistical modeling performance, and build dashboards and alerts to ensure models are functioning effectively
- Build reusable modules and data structures, and provide guidance and feedback to team members on their work, taking into account their skills, backgrounds and working styles
- Take ownership of complex technical challenges, demonstrating initiative in navigating ambiguity and championing engineering best practices and innovation
- The Data Science team uses the following technologies at TripleLift:
- Languages: Python, Java
- Frameworks: Spark, DataBricks, ONNX, Docker, Airflow
- Databases: MySQL, Snowflake, S3/Parquet
- Amazon Web Services to keep everything running
Our take
In order to survive in the digital age, businesses must now market their brand through omnichannel digital advertisement formats. However, building the technological infrastructure for omnichannel advertisement can be a convoluted process, with businesses having to liaise with multiple DSPs and publishers, and work with different software integrations across multiple platforms.
TripleLift is an omnichannel advertisement marketplace that aims to help businesses build advertisement campaigns across online video, CTV, display, branded content, and native formats within a single marketplace. The company partners with digital media publishers, DSPs, brands, and software companies to provide everything businesses need from analytic and engagement tools to the advertisement content itself.
There are many tech startups aiming to tackle the challenges of omnichannel advertising, and TripleLift has recognized that businesses seek operations from many of these providers, helping to reduce the complexity of marketing campaigns by connecting all parties within a single marketplace. Ultimately, this approach helps the company not only serve businesses and their marketing campaigns but also match the service providers with clients.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2015
$10.5m
SERIES B
Mar 2014
$4m
SERIES A
Total funding: $18.7m
Company benefits
- Medical, Dental & Vision Plans
- Unlimited PTO
- 401k w/ employer match
Company HQ
Flatiron District, New York, NY
Leadership
Eric Berry
(Board Member & Co-Founder)Associate of Simpson Thacher & Bartlett LLP from 2008 to 2010. Worked on Product Architecture and Client Services for AppNexus from 2010 to 2012.
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