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!
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.
- We strongly encourage you to start by downloading our app at https://gestureapp.page.link/j... in addition, please visit gesture.vip at your earliest convenience.
Benefits:
- Compensation: Competitive Stipend.
- Professional development: Support for ongoing learning and career growth.
- Work Environment: Positive, friendly, and collaborative atmosphere,
- Free Gestures for friends and family.
Applicant Process:
Interested candidates are invited to submit their resume, cover letter, and any relevant coursework or projects. In your cover letter, please emphasize your key skills, experiences, and the reasons you're drawn to this role.
Join us in driving operational excellence and success in the e-comm/mar-tech industry. We look forward to welcoming a motivated and talented professional to our team!
We strongly encourage you to start by downloading our app. In addition, please visit gesture.vip at your earliest convenience to learn more about the company.
Gesture is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location and in some cases paid internships may be in the form of an internship stipend. This may be different in other locations due to differences in the cost of labor.
Gesture has a KPI and Pacesetting culture. As such, we are seeking Sharp, Motivated, High-Performing team members.
The right candidate will experience the most success in this role, will have a START-UP mindset and is interested in growing with the company from a ground floor opportunity.