[Remote] Data Science Engineer (Python) at Antenna

Bogotá, Bogota, Colombia

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Entertainment, AI/MLIndustries

Requirements

3-5+ years of work experience in software engineering, with a strong focus on data engineering, ML engineering, or building applications that use a lot of data
Expert in Python, with a strong understanding of object-oriented design, software system design, and experience building high-quality, testable code for production
Strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar
Solid experience with cloud platforms (GCP highly preferred), including deploying services, managing them, scaling (e.g., Docker, Cloud Run, GKE), and working with large data systems (e.g., Dataproc, BigQuery)
Strong SQL skills and experience working with large, complex datasets
Deep understanding of machine learning concepts, the full model development lifecycle, and MLOps principles
Excellent problem-solver, skilled at debugging complex issues in distributed systems, optimizing performance, and scaling data handling
Ability to explain complex technical ideas and system design decisions clearly and effectively in English
Advanced English proficiency (B2-C1); excellent communication, teamwork, and consulting skills
Passionate about building robust, scalable systems and eager to guide and collaborate with a team
Strong emphasis on code quality, system reliability, and writing good documentation
Ability to work during US business hours, preferably based in a US time zone (Eastern, Central, Mountain, or Pacific)

Responsibilities

Design, develop, test, and maintain robust and scalable data pipelines using Python and large-scale data processing tools (like Spark, Dask, or similar on GCP)
Design and take ownership of key parts of ML systems, ensuring they are reliable, efficient, and scalable
Set up and manage MLOps practices, including CI/CD for machine learning models, model monitoring, and automated deployment pipelines
Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build)
Collaborate with data scientists to productionize machine learning models and integrate them with data systems
Write detailed documentation for system designs, code, and systems created and maintained
Debug and resolve complex technical problems in distributed data systems and ML pipelines

Skills

Key technologies and capabilities for this role

PythonSparkDaskGCPDataprocBigQueryCloud RunCloud BuildMLOpsCI/CDML systemsdata pipelines

Questions & Answers

Common questions about this position

Is this a remote position?

Antenna is a remote-first company, and they are looking for candidates who can work during US business hours, preferably based in a US time zone (Eastern, Central, Mountain, or Pacific).

What are the key required skills for this role?

The role requires expert Python skills with strong object-oriented design and production-ready code, hands-on experience with large-scale data processing tools like Apache Spark (PySpark) or Dask, and solid experience with GCP including Dataproc, BigQuery, and deployment tools like Docker and Cloud Run. Additionally, 3-5+ years in data engineering, ML engineering, or data-intensive software engineering is needed.

What is the salary or compensation for this position?

This information is not specified in the job description.

What will my reporting structure be?

You will report to the Data Science Lead.

What makes a strong candidate for this Data Science Engineer role?

Strong candidates have 3-5+ years in data or ML engineering, expert Python skills for production systems, hands-on experience with Spark/Dask and GCP tools, and a passion for solving complex data problems and building scalable pipelines.

Antenna

Market research and analytics for subscriptions

About Antenna

Antenna provides insights into the subscription economy, focusing on streaming services. The company collects and analyzes data on consumer interactions with subscription services, helping businesses understand subscriber preferences and behaviors. This information allows companies to make informed decisions about their products and marketing strategies. Antenna's clients are primarily subscription-based businesses that rely on these insights to improve user acquisition and retention. Unlike competitors, Antenna specializes in the subscription market, offering tailored analytics that help clients adapt to changing consumer demands. The goal of Antenna is to empower subscription-based companies to thrive in a competitive landscape by providing them with the data they need to drive growth and enhance customer satisfaction.

New York City, New YorkHeadquarters

2019Year Founded

$13.8MTotal Funding

SERIES_ACompany Stage

Data & Analytics, ConsultingIndustries

11-50Employees

Benefits

Remote Work Options

Company Equity

Risks

The rise of free ad-supported streaming channels may reduce demand for paid subscriptions.

Password-sharing crackdowns by Disney+ and Netflix could impact subscriber numbers and data insights.

Increasing subscription cancellations pose a risk to clients relying on stable subscriber bases.

Differentiation

Antenna specializes in detailed insights into the subscription economy, focusing on streaming services.

The company provides industry benchmarks and market intelligence for strategic decision-making.

Antenna's data-driven insights help optimize user acquisition and retention for subscription businesses.

Upsides

Increased interest in free ad-supported streaming services offers new market intelligence opportunities.

The rise of direct-to-consumer sports streaming services highlights niche market growth potential.

High-profile events like Messi's debut provide case studies for subscriber acquisition insights.

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