Data Science Engineering Intern

Gesture US, Inc.

New York (NY)

On-site

USD 25,000 - 34,000

Part time

14 days+

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Benefits offered by this job

Competitive stipend

Mentorship from experienced data pros

Hands-on data experience

Networking opportunities

Job summary

Gesture US, Inc. in New York City (In-Office) is seeking a Data Science & Analytics Intern. This hybrid internship combines data science, data engineering, and analytics to turn large data sets into actionable insights that influence product and customer strategies.

The role offers hands-on exposure to data pipelines, exploratory analysis, and model development, with mentorship from experienced data professionals. This is a part-time or full-time in-office position at our NYC headquarters.

Qualifications

Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field.
Proficient in Python and SQL; familiarity with R or Scala is a plus.
Experience with data manipulation using Pandas or similar libraries.
Knowledge of ETL processes and data pipeline tools (Airflow, Spark).
Proficient in data visualization tools (Tableau, Power BI, Looker).
Strong analytical and communication skills.

Responsibilities

Build and maintain data pipelines, ensuring data is clean, reliable, and ready for analysis.
Analyze data from multiple sources to identify trends and actionable insights for decisions.
Develop predictive models to forecast trends and user behavior; apply basic ML techniques.
Create dashboards and reports to communicate insights to stakeholders.
Collaborate with product, engineering, and marketing to translate business needs into data requirements.

Skills

Python

SQL

Pandas

Tableau

Power BI

Looker

Machine Learning basics

Communication

Education

Data Science/CS/Stats/Engineering/Math (degree)

Tools

Apache Airflow

Apache Spark

Tableau

Power BI

Looker

Job description

Ready to dive into data, develop predictive models, and help shape the future of brand-consumer relationships? As a Data Science & Analytics Intern at Gesture, you’ll turn raw data into actionable insights that make an impact – all while gaining hands‑on experience in a cutting‑edge tech environment!

About Gesture US, Inc.

Gesture is an AI-driven connection company redefining how people and brands engage through tangibility. We merge technology, data, and emotion to create meaningful, real-world experiences — not just transactions. From our consumer app that lets anyone send something special without needing an address, to Gesture Reach360, our tangible marketing platform that puts real products directly into the hands of ideal customers, we’re turning digital impressions into physical connections that drive real action. Gesture isn’t another gifting or marketing company — we’re building the world’s most powerful Connection Engine, where every product sent, received, or experienced deepens relationships and delivers measurable impact.

Description

Job Title: Data Science & Analytics Intern

Location: In-Office NYC, New York Headquarters (NON-REMOTE)

Job Type: Part-time or Full-time

About Us:

Gesture is on a mission to redefine the role of relationship-building in brand and consumer experiences. Our platform is a fusion of technology, logistics, and data, helping connect people and brands in meaningful ways. As a Data Science & Analytics Intern, you’ll dive into large sets of data to draw actionable insights, shape the future of our customer experience, and support key decisions across the business.

Role Summary:

This internship is an exciting hybrid role combining elements of data science, data engineering, and data analytics. We’re looking for a curious and driven individual who’s eager to develop skills across the data ecosystem. You’ll gain exposure to advanced analytical techniques, data pipeline creation, and data visualization while contributing directly to our projects and growth.

Responsibilities:

Data Collection & Preparation:

Build and maintain data pipelines, ensuring data is clean, reliable, and ready for analysis.
Work with our engineering team to design and optimize data storage solutions for analytics use.
Automate data collection processes using tools like SQL, Python, and data integration platforms.

Data Analysis & Insights:

Analyze data from various sources (internal and external) to identify trends and insights that drive business decisions.
Conduct exploratory data analysis and statistical modeling to support business teams with actionable insights.
Support A/B testing initiatives by setting up experiments, analyzing results, and reporting findings.

Data Science & Predictive Modeling:

Develop predictive models to forecast trends and user behavior.
Leverage machine learning techniques for classification, clustering, and recommendation systems.
Collaborate with product and marketing teams to build models that personalize the customer experience.

Data Visualization & Reporting:

Create and maintain dashboards to communicate insights to stakeholders in an accessible format.
Provide ad-hoc data visualizations for different departments using tools like Tableau, Power BI, or Looker.
Ensure data accuracy and clarity in all visualizations and reports.

Cross-Functional Collaboration:

Work closely with data engineers, product managers, and marketing teams to translate business needs into data requirements.
Share insights and recommendations in team meetings and contribute to strategy discussions.
Desired Skills & Qualifications:
Education: Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field.

Technical Skills:

Programming: Proficient in Python and SQL; familiarity with R or Scala is a plus.
Data Processing: Experience with data manipulation and cleaning using Pandas or similar libraries.
Data Engineering: Knowledge of ETL processes and data pipeline tools (e.g., Apache Airflow, Apache Spark).
Data Visualization: Proficiency with tools like Tableau, Power BI, or Looker.
Machine Learning: Basic understanding of machine learning algorithms and techniques.
Analytical Skills: Strong problem-solving skills with attention to detail and accuracy.
Communication: Ability to communicate complex findings in a clear, concise manner to both technical and non-technical audiences.
Curiosity & Proactiveness: Eager to learn and take on new challenges with a positive attitude.

What You’ll Gain:

Hands‑on experience in a real‑world, data‑driven environment with exposure to a range of data functions.
Mentorship from seasoned data engineers, data scientists, and analysts.
The chance to directly impact decision‑making and help shape the future of our customer engagement strategies.
Networking opportunities within a dynamic, innovative tech company.

Personal Attributes:

Creative Problem Solver: Can quickly adapt design approaches to meet varying project needs.
Collaborative Team Player: Open to feedback and excited to work in a cross‑functional environment.
Detail‑Oriented: Strong attention to detail and commitment to producing high‑quality work.
Proactive and Self‑Motivated: Comfortable taking ownership of projects and driving initiatives forward.

Benefits: