---
title: 'Data Scientist at Antenna'
canonical: 'https://feeny.ai/job/data-scientist-antenna-bogota-exxg6nvm0mg1'
type: 'job'
last_seen: '2026-09-10'
---

# Data Scientist at Antenna

- **Company:** Antenna
- **Location:** Bogotá, Colombia
- **Work type:** remote
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/antenna/jobs/6127406004

## Job description

Antenna is the leading provider of data and analytics for subscription media services in the U.S. Antenna's standardized metrics, competitive benchmarks, syndicated insights, and market intelligence are trusted by some of the most recognized and respected brands across media and entertainment sectors. Using a proprietary AI-powered approach, Antenna connects subscription activities with real consumer viewership to provide services, studios, and creators with an unmatched, market-wide view of subscriber behaviors to better understand acquisition, retention, and engagement.

When the Wall Street Journal, Bloomberg, or the New York Times reports on the streaming wars, the numbers often come from Antenna. Our data and models are the market standard for the Subscription Economy, trusted by the most recognized brands in media and entertainment to decide what to make, what to charge, and how to grow. The models you build here get cited, and they shape decisions at the highest levels of the industry.

We are also AI-first in practice. Every team member works with frontier AI tooling (Claude, Gemini, OpenAI) as a daily driver, and our AI Council pushes everyone to be an AI driver, not a passenger. If you want a team where agentic coding, LLM pipelines, and rigorous evals are the everyday norm you will fit right in.

We're looking for a talented Data Scientist with expert Python skills and a passion for inventing new data products. You'll design, prototype, and ship the models behind our newest offerings: generative models on mixed data sources, predictions of subscriber behavior, and LLM-powered pipelines with the evals to prove they work. You'll work closely with data scientists and engineers to take ideas from first experiment to production at market scale. If you love turning ambitious modeling ideas into shipped products in a data-driven company, this job is for you!

Antenna is a remote-first company, and we are looking for candidates who can work during US business hours. Preferably, you should be based in a US time zone (Eastern, Central, Mountain, or Pacific). You will report to the Director, Data Science.

## What You’ll Do

- Build models and data products that make it all the way to production for our two flagship products: Subscriber Views, which connects what people watch to why they subscribe, and Subscriber Metrics, the market standard for sign-ups, churn, and retention
- Solve the modeling problems that unlock new product capabilities - from viewership attribution and sports data to generative models on mixed data sources and new models for TV providers (MVPDs)
- Dig into large, messy datasets to find the trends and patterns that turn into shipped features, add the functions, classes, and tools to our core Python data science library that the rest of the team builds on, and make existing code faster and able to handle more data
- Take on Antenna R&D work: explore new datasets and methods to answer real business questions and present what you find to senior stakeholders
- Build LLM-powered pipelines and agents, and treat evals as a core deliverable: validated outputs, eval sets with clear pass/fail checks, and evidence they catch problems human review misses
- Use agentic coding tools as part of your daily workflow - plan first, write tests and instructions up front, review every change - while still designing, debugging, and defending clear, well-documented, testable code of your own
- Collaborate with cross-functional stakeholders, including our co-founders, and clearly explain complex technical and system design decisions

## Who You Are

- You have 2+ years of experience building machine learning models and data products in Python, with the engineering skills to take them from prototype to production
- Expert in Python with strong object-oriented design, software system design, and experience building high-quality, testable, production-grade code
- Solid grasp of machine learning concepts and how models are built, used, and evaluated
- Strong SQL skills working with large, complex datasets
- Experience using Git, and comfortable working in cloud environments (GCP preferred) to pull and process data (e.g., BigQuery) and run your analytical work.
- Excellent problem-solver, skilled at debugging complex distributed systems and optimizing them for performance and scale
- Advanced English proficiency (B2-C1) with strong communication, teamwork, and consulting skills; able to clearly explain complex technical and system design decisions
- You use agentic coding tools (Claude Code, Cursor, or Codex CLI) as part of your daily workflow: plan first, write tests and instructions up front, and review every change before accepting it. You can still design, debug, and defend your own work without AI assistance, and our interview process tests this directly
- You measure whether an LLM is actually right: you verify model outputs against ground truth by default, build simple eval sets or labeled samples to compare approaches, and can give a concrete example of a hallucination or silent error you caught.

Bonus

- Experience in or passion for the Subscription Economy, especially media and entertainment; experience working with media data or data clean rooms
- Hands-on experience with deep learning frameworks (PyTorch or TensorFlow), MLOps practices (like model monitoring), or synthetic data and generative models (e.g., GANs, VAEs, CTGAN)
- Experience with large-scale data processing tools (e.g., Apache Spark/PySpark, Dask)
- Experience deploying and scaling services in the cloud (Docker, Cloud Run, GKE, Dataproc)
- Experience building and shipping LLM-powered agents or pipelines with an orchestration framework (LangGraph, Pydantic AI, or OpenAI Agents SDK), including custom tool definitions, agent state and memory, and human review steps
- Advanced evaluation and observability practices: LLM-as-a-judge calibration, automated regression suites, and tracing tools (Langfuse, LangSmith, or Braintrust)
- Familiarity with RAG and context engineering for grounding model responses in proprietary data, or experience using LLMs for testing pipelines and QA workflows
- Experience with BI tools (Looker, Tableau), building Python libraries that others use, or open-source contributions

Antenna's Tech Stack (Required proficiency listed if applicable)

- Languages: Python (expert), SQL (strong)
- Large-Scale Data Processing: Apache Spark/PySpark (or similar like Dask)
- Cloud Platform: Google Cloud (Dataproc, BigQuery, Cloud Storage, Cloud Run, Cloud Build, GKE strong experience expected)
- Version Control: Git (expert)
- MLOps & Orchestration: Familiar with tools like Airflow, Kubeflow, Vertex AI Pipelines
- Containerization: Docker, Kubernetes
- Data Analysis Libraries: Pandas, NumPy (very good with these)
- Machine Learning: scikit-learn, TensorFlow/PyTorch (understand how to get them to production)
- AI Tools: Claude, Gemini, OpenAI offerings

Antenna Benefits

- Work from anywhere, during US business hours
- Competitive compensation, including participation in Antenna equity program
- Mentorship from experienced executives
- Opportunity to grow and impact a rapidly growing start up
- Travel to In-person team off-sites (visa-permitting)
- And more!

## About Antenna

Antenna is the leading provider of data and analytics for the U.S. Subscription Economy. Our standardized metrics, competitive benchmarks, syndicated insights, and market intelligence are used by some of the most trusted brands across media and entertainment sectors to better understand subscriber behavior and successfully navigate the rapidly changing consumer subscription landscape.

Founded in 2019 by Jonathan Carson, a successful serial entrepreneur with deep roots in data and analytics, and Rameez Tase, a seasoned executive in media and analytics, Antenna’s mission is supported by top investors with global expertise in media and technology: Raine Ventures, BDMI, UTA Ventures, and many more. Antenna is powered by a dedicated group of individuals who are intellectually curious, passionate about service, and committed to supporting the needs of Antenna clients and each other every day. As a small remote-first team, Antenna team members have the opportunity to work alongside senior leaders and professionally grow with an early-stage team.

https://www.antenna.live/

## About Antenna

## Company Overview
- **One-liner**: Antenna is a market data platform that provides analytics and competitive intelligence for the subscription economy, helping brands understand subscriber behavior across acquisition, retention, and engagement.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2019
- **Founders**: Jonathan Carson (Co-Founder & CEO), Rameez Tase (Co-Founder & President)

## Core Business
- **Primary industry**: Subscription Analytics / Market Intelligence
- **Target customers**: B2B — primarily media and entertainment companies, streaming services, and subscription-based brands (Enterprise)
- **Mission statement**: To expand knowledge of subscriber behavior so brands can entertain, inspire, and empower the world.

## Products & Services
- **Antenna Platform (SaaS)**: A data analytics platform that aggregates and standardizes subscription data across the market. It provides benchmarks, competitive intelligence, and insights into subscriber acquisition, retention, churn, and engagement. Uses a proprietary AI-powered approach to connect subscription activities with real consumer viewership.
- **Syndicated Reports & Market Intelligence**: Industry-wide competitive benchmarks and reports on key subscription metrics, designed to help brands understand "what good looks like."
- **Campaign Lift Measurement**: A tool to measure the effectiveness of marketing campaigns by providing granular data on subscriber behavior that advertisers don't typically share.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Funding**: Total raised **$14.2M** across two rounds:
    - **Series A (Feb 2022)**: $10.0M led by Bertelsmann Digital Media Investments (BDMI), with participation from UTA Ventures, Grit Capital, Hyper, Imagination Capital, SK Ventures, Waverley Capital, and Raine Ventures.
    - **Seed Round (Dec 2020)**: $4.2M led by Raine Ventures.
- **Key Metric**: Annual revenue estimated at **$189,000** (source: LinkedIn).
- **Notable Clients & Partners**: Trusted by "the world's leading subscription brands" and "some of the most recognized and respected brands across media and entertainment sectors." Backed by top investors including Raine Ventures (SoundCloud, Foursquare), BDMI (Bertelsmann), and UTA Ventures.
- **Growth Signals**:
    - Headcount grew **+28.3% YoY**, reaching 42 employees.
    - Operates in 5 countries (US, Colombia, Brazil, UK, Nicaragua).
    - The Subscription Economy is projected to nearly triple from $635B to $1.5T by 2025 (UBS), placing Antenna in a high-growth market.

## Competitive Advantages
- **Data Moat**: Proprietary, AI-powered approach that pairs subscription data with actual consumer viewership — providing a market-wide view that competitors may lack.
- **Standardized Metrics**: Acts as the "definitive source for subscription data," setting the industry standard for analytic benchmarks (analogous to Nielsen for TV ratings).
- **Founder Expertise**: Serial entrepreneur Jonathan Carson founded BuzzMetrics (social media analytics pioneer, acquired by Nielsen). Rameez Tase brings deep digital executive experience (CEO of Nielsen Digital, CRO of The Trade Desk and Vevo), giving the company deep domain credibility.
- **First-Mover in a Growing Market**: Specifically focused on the subscription economy, a sector experiencing massive growth.

## Strategic Focus
- **Product Expansion**: Deepening analytics capabilities, especially around marketing measurement (Campaign Lift) and subscriber segmentation (Subscriber Audiences).
- **Market Leadership**: Establishing Antenna as the go-to, trusted measurement provider for the entire subscription economy.
- **Scaling the Team**: In "hyper-growth mode," actively hiring to support a growing roster of major subscription brand clients.

## Why Work Here
- **Culture & Values**: Emphasizes making an impact, acting with integrity, engaging with pragmatic diligence, and communicating with respectful candor. The company describes itself as "caring and hard working."
- **Remote Work**: Fully remote within the United States. Offers a remote work environment setup stipend and a coworking space reimbursement.
- **Benefits**: Competitive salary, meaningful equity, unlimited PTO, full healthcare (medical, dental, vision), health & wellness reimbursement, parental leave, 401K, and short-term disability.
- **Growth Opportunity**: Join a small but fast-growing team (42 people) backed by top-tier investors, working with the biggest subscription brands. You will "learn and grow from experienced entrepreneurs and leaders."
- **Engineering & Data Culture**: Tech stack includes Terraform, SQL, Looker, TensorFlow, and Kubernetes. The team includes VP of Data Science and Director of AI, signaling a strong data-driven engineering environment.

## Sources
1. [Antenna Official Site](https://www.antenna.live/)
2. [Antenna About Us](https://www.antenna.live/about-us)
3. [Antenna Careers Page](https://www.antenna.live/careers)
4. [Antenna LinkedIn](https://www.linkedin.com/company/antennadata)
5. [Antenna Job Board (Greenhouse)](https://job-boards.greenhouse.io/antenna)

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