Jobgether
AI

Data Scientist Research Intern

Jobgether ·

Actively hiring Posted 7 months ago

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Data Scientist Research Intern
in
United States
.

This internship offers an exciting opportunity to contribute to cutting-edge research and development in data science, machine learning, and revenue optimization. The Data Scientist Research Intern will work closely with an advanced analytics team on projects ranging from forecasting and pricing to AI-driven solution prototyping. You will engage in data exploration, model development, and testing while gaining hands-on experience with generative AI and machine learning techniques. This role allows you to apply academic knowledge to real-world challenges, collaborate with experts, and enhance your professional portfolio in a dynamic, innovative environment. Interns will also develop critical technical documentation and present their findings to a variety of audiences, gaining practical exposure to professional research practices.

Accountabilities:

  • Prepare, analyze, and explore datasets to identify opportunities, challenges, and trends
  • Design, prototype, and implement data-driven solutions to support research and product development
  • Collaborate with mentors and team members to develop generative AI and machine learning applications for revenue management
  • Communicate findings and project outcomes to technical and non-technical stakeholders
  • Produce technical documentation and maintain records of research methodologies, experiments, and results
  • Participate in brainstorming sessions and contribute innovative ideas to ongoing projects

Requirements

  • Enrollment in a Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics, or a related quantitative field
  • Prior experience conducting research as part of academic program is preferred
  • Knowledge of generative AI, machine learning, and large language models (LLMs)
  • Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
  • Familiarity with data manipulation libraries such as Pandas
  • Strong problem-solving skills with the ability to identify and proactively address challenges
  • Excellent written, verbal, and interpersonal communication skills
  • Preferred: Experience with LangChain, LangGraph, time-series forecasting, demand planning, and data visualization tools (e.g., Streamlit, Plotly, Dash)
  • Interest in revenue science, forecasting, and estimation concepts

Benefits

  • Hands-on experience with advanced analytics and AI applications
  • Exposure to real-world projects and collaboration with research and development professionals
  • Opportunity to apply academic knowledge to industry challenges
  • Professional mentorship and career development
  • Flexible work environment with hybrid options
  • Networking and collaboration opportunities with experts in the field

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:

  • 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements
  • 📊 It compares your profile to the job's core requirements and past success factors to determine your match score
  • 🎯 The top 3 candidates with the highest match are automatically shortlisted
  • đź§  When necessary, our human team may perform an additional manual review to ensure no strong profile is missed

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once shortlisted, your profile is shared with the hiring company, who will manage interviews and next steps.

Thank you for your interest!

Tags & focus areas

Used for matching and alerts on DevFound
Ai Machine Learning Data Science Generative Ai Fulltime
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.