Build media intelligence solutions across targeting, planning, measurement, and optimization using statistical analysis, data science, AI, and interactive applications. Partner with Sales and customers to discover needs, prototype solutions, develop dashboards, apply rigorous modeling, incorporate agentic workflows, monitor market trends, and scale validated solutions across the organization. Present complex statistical insights to technical and non-technical stakeholders.
Samba connects the advertising industry. Today, a trillion dollars of media flows through platforms that don’t talk to each other, and each one measures its own results. We built the independent alternative: consented first-party data and AI that give the world’s biggest advertisers, publishers, and platforms one clear view across all of it.
The next era of advertising will run on AI agents, and those agents will need data they can trust. We’re building that foundation, and the agents that act on it. Join us and help build what the industry runs on.
You pair deep data and statistical expertise with strong business acumen to develop new media intelligence solutions and thought leadership, from targeting to media planning, measurement, and optimization. Your solutions are personalized, interactive applications that move beyond one-size-fits-all interfaces and incorporate AI and agentic workflows, built toward where the market is headed.
- Build Media Intelligence: Design and build new media intelligence solutions using Samba data and external data sourced through licensing and partnerships, spanning targeting, planning, measurement, and optimization.
- Discover With Sales: Partner with Sales on customer discovery and solutions development, translating business needs into well-scoped analytic and product concepts designed through select accounts but built for all customers.
- Lead the Market: Monitor industry trends and the competitive landscape to see where Samba can lead, and support thought leadership and partnership-based research.
- Apply Statistics: Select and apply the right statistical methods, including descriptive, inferential, and predictive techniques, with rigor in model selection and tuning, across billions of raw data signals.
- Build Interactive Deliverables: Develop personalized, interactive client deliverables, such as browser-based dashboards in JavaScript and React, that move beyond monolithic, one-size-fits-all platforms.
- Add Agentic Workflows: Incorporate AI and agentic workflows into internal and external solutions, including approaches such as data embeddings, vector databases, and multimodal models.
- Prototype and Scale: Prototype quickly, validate with customers, prepare proven solutions for scaling by the broader team, and pitch them to Sales, Product, Engineering, and Marketing when demand warrants.
What You Bring
- Bachelor's degree in a quantitative field (analytics, statistics, data science, computer science, or mathematics), or equivalent practical experience; an advanced degree is a plus.
- 4+ years in data science, analytics, computer science, or applied research, ideally including building and shipping data-driven applications and presenting results to customers.
- Media, advertising, or measurement experience, ideally cross-channel with a focus on connected TV (CTV), addressable audiences, contextual targeting, attribution, and causal inference.
- Required: Python; SQL; descriptive, inferential, and predictive statistics with sound model selection; business intelligence and data visualization tools (Tableau, Looker, Power BI, or similar); and interactive applications in JavaScript and React.
- Preferred: developing agents and agentic workflows, data embeddings and vector databases, and applications built on multimodal models.
- Curiosity paired with a bias to build, ownership and independence, customer obsession, a forward-looking mindset, and comfort amid ambiguity and rapid iteration.
- An exceptional storyteller and presenter who turns complex statistical work into compelling narratives for non-technical audiences, skilled at customer discovery, and able to influence without authority.
Compensation
$160,000 - $180,000 a year
Samba expects to offers On-Target Earnings (OTE) of $160,000 - $180,000 per year for roles to be performed in California, Illinois, or New York; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer.
Your personal information
We collect personal information directly from you when you apply. Where the law permits, we may also receive it from third parties, such as through background, employment, or reference checks. For details, see Samba’s Applicant Privacy Policy. For EU residents, Samba Inc. is the data controller.
Use of AI in hiring
We may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. To learn more about how we process your data, please reach out.
Similar Jobs
.png)
AdTech • Machine Learning
Design and prototype media intelligence solutions using Samba data and external sources. Partner with sales and product to translate customer needs into analytic and product concepts, apply statistical and predictive methods, build interactive dashboards and AI-enabled workflows, validate with customers, and prepare scalable templates for measurement, targeting, planning, and optimization.
Top Skills:
Ai Agentic WorkflowsData EmbeddingsJavaScriptLookerMultimodal ModelsPower BIPythonReactSQLTableauVector Databases
Security • Cybersecurity
Own and scale Tufin’s channel and partner marketing across VAR, distributor, and technology alliance ecosystems. Responsibilities include partner campaigns, co-marketing, enablement materials, MDF administration, partner communications, portal management, certifications, deal registration, co-sell programs, and funnel reporting. The role partners with channel sellers, field marketing, product marketing, sales, and leadership to increase partner engagement, awareness, and partner-generated pipeline.
Top Skills:
AI
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Supports quality management systems, software development lifecycle tools, computer system validation, and medical device software design controls. Responsibilities include implementing and maintaining QMS tools, evaluating systems against user requirements, conducting UAT and validation testing, writing SOPs and CSV documentation, supporting audits, managing risk-based compliance, training teams, and contributing to design history files and ISO 14971 risk management activities.
Top Skills:
21 Cfr Part 11AgileAtlassianComputer System ValidationEtqFda QsrFmeaIec 62304Iso 13485Iso 14971JamaJIRAScrumSdlc
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
