[Remote] Data Science Internship at Embrace

United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, SoftwareIndustries

Requirements

Currently enrolled in a Master’s program in Data Science, Computer Science, or a related quantitative field
Proficient in Python and familiar with key data science frameworks (e.g., Pandas/Polars, NumPy, scikit-learn, data visualization libraries such as matplotlib or seaborn)
Foundational understanding of machine learning concepts (supervised, unsupervised, feature engineering, evaluation metrics)
Ability to query and manipulate large datasets using SQL or PySpark
Strong analytical and problem-solving skills with attention to detail
Excellent written and verbal communication skills
Curiosity and enthusiasm for working with large-scale, real-world data
Preferred Qualifications
Experience working with time-series or event-based data
Experience with data visualization tools (e.g., Plotly, Dash, Streamlit, or similar)
Familiarity with non-parametric statistics on event-based data
Familiarity with deep learning frameworks like PyTorch or TensorFlow and judgement on when to use them
Familiarity with cloud data ecosystems (e.g., ClickHouse, Snowflake, BigQuery, AWS, or GCP)
Contributions to open-source projects or independent research projects
Excitement about learning from experienced engineers and seeing your work influence product direction
A love of discovering patterns - and maybe also of Star Wars (or Star Trek)

Responsibilities

Explore, analyze, and visualize large datasets from mobile + web observability data and user session data
Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data
Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features
Present findings to technical and non-technical audiences
Contribute to documentation, reproducible notebooks, and internal demos

Skills

Key technologies and capabilities for this role

PythonData ScienceMachine LearningData AnalysisData VisualizationStatisticsObservabilityOpenTelemetry

Questions & Answers

Common questions about this position

What are the basic qualifications for the Data Science Internship?

Candidates must be currently enrolled in a Master’s program in Data Science, Computer Science, or a related quantitative field, proficient in Python with key data science frameworks like Pandas/Polars, NumPy, and scikit-learn, have a foundational understanding of machine learning concepts, ability to query large datasets using SQL or PySpark, and possess strong analytical, problem-solving, and communication skills.

What is the duration of the Data Science Internship?

The internship is a 3-month program.

Is compensation provided for this internship?

This information is not specified in the job description.

What does Embrace's company culture emphasize?

Embrace's cultural values highlight how they seek to improve as individuals, team members, and a company each and every day.

What makes a strong candidate for this Data Science Internship?

Strong candidates will have preferred qualifications like experience with time-series or event-based data, data visualization tools such as Plotly or Dash, familiarity with non-parametric statistics, deep learning frameworks like PyTorch or TensorFlow, cloud data ecosystems, and contributions to open-source or independent research projects, along with curiosity for large-scale data.

Embrace

Mobile observability platform for app performance

About Embrace

Embrace offers a mobile observability platform that helps developers and companies monitor the performance of their mobile applications. The platform uses OpenTelemetry to provide insights that focus on real user experiences rather than just server-side data. This means that Embrace helps teams understand how their apps are performing from the perspective of actual users, which is crucial for improving user satisfaction. Unlike many competitors, Embrace emphasizes the impact of app performance on real customers, making it easier for developers to optimize their applications effectively. The company aims to support mobile app developers and enterprises by providing tools that enhance app performance and user experience, generating revenue through subscription plans that cater to different client needs. Additionally, Embrace offers open-source SDKs for various platforms like iOS, Android, Unity, React Native, and Flutter, allowing for easy integration and comprehensive monitoring.

Culver City, CaliforniaHeadquarters

2016Year Founded

$77.5MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer Software, Enterprise SoftwareIndustries

51-200Employees

Benefits

Company Equity

Risks

Increased competition from new mobile game companies could impact Embrace's market share.

Fortanix's leadership expansion poses a competitive threat to Embrace's data management capabilities.

Dependency on Grafana's platform may lead to risks if issues arise.

Differentiation

Embrace offers a mobile-first observability platform built on OpenTelemetry.

The platform focuses on real customer impact, not just server-side metrics.

Embrace provides open-source SDKs for seamless integration and comprehensive monitoring.

Upsides

Increased adoption of OpenTelemetry enhances Embrace's data insights.

Partnerships with platforms like Grafana improve Embrace's market positioning.

The rise of mobile gaming drives demand for Embrace's performance monitoring tools.

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