Senior Data Scientist, TripleLift
Omnichannel advertisement marketplace
Posted today
Omnichannel advertisement marketplace
201-500 employees
Posted today
201-500 employees
Company mission
To elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting.
Role
Who you are
- A degree in a technical or quantitative field is preferred. Candidates with relevant professional experience and degrees in other disciplines will also be considered
- At least five years of professional experience in data science and/or machine learning within a collaborative work environment
- At least two years of professional experience developing data science and machine learning models in a programmatic advertising environment
- Strong foundation in statistical analysis, deep learning, and machine learning techniques
- Hands-on experience with TensorFlow or PyTorch to prototype models for high-volume, distributed systems
- Experience monitoring and measuring statistical model performance using tools such as Prometheus and Grafana, including building dashboards and alerts to identify performance issues and ensure models function effectively
- Strong organizational, communication, and attention-to-detail skills
- Ability to work efficiently and independently with minimal oversight
- Openness to feedback and constructive criticism, with a commitment to continuous learning and professional development
- Strong work ethic and a demonstrated commitment to delivering high-quality work
What the job involves
- The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that drive better outcomes for our customers.
- Within the Data Science team, this role combines statistical analysis, experimentation, and machine learning engineering to uncover market insights, optimize bidding performance, and build production-ready systems
- In this position, you will partner closely with engineering, product management, and business stakeholders to identify opportunities, test hypotheses, and translate data-driven insights into measurable business impact.
- This is an exciting opportunity for someone who enjoys solving complex problems, working with large-scale datasets, and building reliable machine learning systems in a collaborative, fast-paced environment
- Design and run experiments to improve bidding algorithm performance and maximize outcomes for TripleLift’s customers
- Apply statistical analysis and advanced analytics techniques to understand market dynamics and deliver actionable insights and recommendations
- Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems, applying best practices in ML engineering
- Collaborate with engineering, product management, and business stakeholders to identify opportunities, solve challenges, and drive data-informed decisions
- Monitor and evaluate deep learning and machine learning systems to ensure performance, reliability, and effectiveness in production environments
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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