Data Scientist

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, StartupIndustries

Requirements

Candidates must possess strong Python programming skills with experience in data analysis tools like Pandas, NumPy, and visualization libraries such as Plotly and Seaborn. Excellent SQL skills are required for data manipulation and exploration. Proficiency in Git for code management and experience with cloud data systems, particularly GCP and BigQuery, are necessary. A solid understanding of basic machine learning concepts and advanced English proficiency (B2-C1) for clear communication of technical ideas and data findings are essential. Experience in turning data into compelling stories and effective visualizations is also required.

Responsibilities

Data scientists will explore diverse datasets to identify trends and patterns, create and maintain data charts, dashboards, and reports using Python and BI tools, and contribute to the design, development, and testing of Python modules within the core data science library. They will write reusable, well-documented Python code for analytical tasks and machine learning models, develop client-requested MVP data solutions, and prepare, clean, and validate data for models and projects. Responsibilities also include clearly documenting analytical methods and code, explaining complex data and analytical results to both technical and non-technical audiences, and contributing to a shared codebase.

Skills

Data Analysis

Python

Data Visualization

Machine Learning

SQL

Plotly

Seaborn

Looker

Data Cleaning

Data Engineering

Statistical Modeling

Communication

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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