Data Scientist Research Intern Job at Jobgether, Remote

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  • Jobgether
  • Remote

Job Description

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.
  • 🧠 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!

 

#LI-CL1

Job Tags

Remote job, Full time, Worldwide, Flexible hours,

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