Senior Data Scientist
Madhive · United States
- Hybrid
- Full-time
- $190,000 / year
- United States
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Job highlights
- Lead ML model development for ad-tech optimization.
- Design and implement model orchestration layer.
- Drive audience segmentation and targeting strategy.
- Collaborate with Product and Engineering teams.
- Mentor junior data scientists.
About the role
About Madhive
Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media.Madhive is currently seeking a Senior Data Scientist to join its growing team. This is a very exciting time to join Data Science at Madhive. 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.
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. 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.
What You’ll Do
- 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.
Who You Are
- 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.
Compensation
The approximate compensation range for this position is $180,000-$200,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.About Us
Madhive is a dynamic, diverse, innovative, and friendly place to work. We embrace our differences and believe they fuel our creativity. We come from varied backgrounds and think that’s important. Whether it’s taking ideas from previous lives and applying them in different ways or creating something completely new, we are all trail-blazing team players who think big and want to make an impact.We are committed to cultivating a culture of inclusion and collaboration. We welcome diversity in education, culture, opinions, race, ethnicity, gender identity, veteran status, religion, disability, sexual orientation, and beliefs.
Please be advised that we will NOT be using third-party recruiting agencies for this search.
Key skills/competency
- Senior Data Scientist
- Machine Learning
- Programmatic Advertising
- Connected TV (CTV)
- Data Science
- Python
- SQL
- Statistical Modeling
- Audience Segmentation
- Ad-tech
Skills & topics
- Senior Data Scientist
- Data Science
- Machine Learning
- Python
- SQL
- Ad Tech
- Programmatic Advertising
- CTV
- Statistical Modeling
- Optimization
How to get hired
- Tailor your resume: Highlight ad-tech, ML, Python, and SQL expertise.
- Showcase ad-tech knowledge: Emphasize experience with DSPs, CTV, and programmatic advertising.
- Quantify achievements: Use data to demonstrate impact on campaign optimization and revenue.
- Prepare for technical interviews: Review statistical modeling, ML algorithms, and Python/SQL coding.
- Articulate your vision: Be ready to discuss ad-tech data science strategy.
Technical preparation
Practice Python and SQL for data manipulation.,Review ML algorithms for optimization.,Study ad-tech concepts like DSPs and CTV.,Prepare to discuss statistical modeling techniques.
Behavioral questions
Describe a complex ML project you led.,How do you mentor junior data scientists?,How do you handle conflicting business KPIs?,How do you communicate technical findings clearly?
Frequently asked questions
- What are the key responsibilities for a Senior Data Scientist at Madhive?
- As a Senior Data Scientist at Madhive, you will architect and implement machine learning models for campaign optimization in the ad-tech space, focusing on bid strategies and pacing. You'll also lead the design of the model orchestration layer, drive ML strategy for audience segmentation, collaborate with engineering and product teams, and mentor junior data scientists. Your work will directly contribute to the company's revenue and competitive advantage.
- What technical skills are essential for this Senior Data Scientist role at Madhive?
- Essential technical skills include deep expertise in programmatic advertising, Connected TV (CTV) measurement, and DSPs. You must be fluent in advanced statistical and machine learning techniques, with strong proficiency in Python and SQL. Experience with GCP and Vertex AI, as well as LLMs, are considered nice-to-haves.
- What kind of experience is Madhive looking for in a Senior Data Scientist?
- Madhive is looking for candidates with a Master's or Ph.D. in a quantitative field and at least 7 years of professional experience as a Data Scientist, specifically within the ad-tech industry. A proven track record in developing and deploying models for bidder optimization and attribution is crucial.
- How does Madhive approach data science and innovation?
- Madhive fosters a culture of rigorous experimentation, statistical excellence, and innovative problem-solving. The Data Science team is central to creating and scaling best-in-class, TV-first solutions, directly impacting revenue and competitive advantage. They value a research-oriented approach to delivering high-quality, scientifically sound solutions.
- What is the compensation range for the Senior Data Scientist position at Madhive?
- The approximate compensation range for the Senior Data Scientist position at Madhive is $180,000 to $200,000 annually. The final offer will depend on factors such as the applicant's experience, knowledge, skills, abilities, and internal equity.
- Does Madhive use third-party recruiting agencies for the Senior Data Scientist search?
- No, Madhive explicitly states that they will NOT be using third-party recruiting agencies for this Senior Data Scientist search. Candidates should apply directly through Madhive's official channels.