Senior Data Scientist, MadHive
$180-200k
Advertising solution leveraging cryptography and machine learning
Be an early applicant
Advertising solution leveraging cryptography and machine learning
201-500 employees
Be an early applicant
$180-200k
201-500 employees
Company mission
To take complex, cutting-edge technology and turn it into intuitive, easy-to-use solutions that empower local media buyers.
Role
Who you are
- The ideal candidate is an expert in the ad-tech ecosystem, possessing deep technical and theoretical knowledge in programmatic media, Connected TV (CTV), and data-driven audience strategies
- Master’s or Ph.D. Degree in Computer Science, Statistics, Economics, or a hard science field preferred
- 7+ years of professional experience in a Data Scientist role, with a significant focus on the advertising technology (ad-tech) space
- Deep, demonstrable expertise in DSPs, programmatic advertising, and CTV measurement
- Proven track record in developing and deploying models for bidder optimization and attribution/measurement
- Fluent in advanced statistical and machine learning techniques, with a strong command of Python and SQL
- Nice to have: Experience with GCP and the Vertex AI ecosystem, as well as other tools such as feature stores and experiment tracking
- Nice to have: experience with LLMs and agentic AI frameworks/solutions, with special focus on evaluation
- Strong communication skills, with the ability to articulate technical concepts and complex model results to non-technical stakeholders
- Takes an innovative and research-oriented approach to problem-solving, with a focus on delivering high-quality, scientifically sound solutions
What the job involves
- Madhive is currently seeking a Senior Data Scientist to join its growing team
- We’re partnering with our engineering and product teams to create and scale best-in-class, TV-first solutions in the market
- The Data Science team is directly responsible for the advanced data solutions and models that directly contribute to the company’s revenue and competitive advantage
- You will be responsible for designing and implementing our next generation of attribution and optimization products, with a strong focus on advanced statistical modeling techniques
- Architect and implement machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for programmatic campaigns with focus on CTV
- Lead the design of our model orchestration layer to solve complex multi-objective optimization challenges. Working at the intersection of Product and Engineering, you will ensure our model suite operates in sync to maximize performance across conflicting business KPIs
- Drive data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes
- Collaborate closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance
- Conduct deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations
- Serve as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly
- Mentor junior data scientists and contribute to the team's culture of rigorous experimentation, statistical excellence, and innovative problem-solving
Our take
The rise in streaming content has revolutionized digital advertising, offering advertisers the potential for more precise campaign calibration. However, alongside this opportunity come new challenges such as consumer overload, ad fraud, and data privacy concerns, compounded by the need to integrate with traditional linear television. Navigating these complexities requires a comprehensive solution, and that's where MadHive steps in.
Utilizing AI technology, MadHive's video ad software suite tackles these challenges head-on. It intelligently identifies optimal ad placements, manages ad frequency to prevent saturation, and gauges consumer intent across various platforms including web, mobile, and TV. This capability allows advertisers to execute nationwide campaigns with pinpoint local targeting - a remarkable achievement in the dynamic digital content landscape.
Unsurprisingly, MadHive boasts an impressive client roster, boasting a 95% renewal rate with major names like Fox, McAfee, and Tegna Premion. This consistent satisfaction has propelled MadHive to expand its offering into critical areas such as data privacy. For instance, its $100M contract with Google Cloud not only enhances its security measures but also equips it with capabilities that smaller competitors will struggle to match.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2023
$300m
LATE VC
Aug 2018
$3m
EARLY VC
Total funding: $306.4m
Company benefits
- 401(K) Matching
- Company Equity
- Retirement Plans
- Performance Bonuses
- Competitive Pay
- 100% Company-Covered Health Insurance
- Dental Benefits
- Vision Benefits
- Generous Maternity and Paternity Leave
- Paid Holidays
- Unlimited Vacation
- Free Lunch In-Office
- Commuter Benefits
Company HQ
Tribeca, New York, NY
Leadership
Jim Wilson
(CEO)Prior to joining Madhive in 2024, Jim was the CEO of North America for Talon.
Thomas Tidgwell
(CFO)Prior to joining Madhive in 2021, Thomas was a VP of Corporate Development & FP&A at WarnerMedia.
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