Global Remote Network: Verified remote jobs with transparent salaries & visa sponsorship. Browse Remote Jobs
D

Data Science Intern

Baltimore, MD

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

🏢
Employer
Drinkun Inc
📍
Location / Model
Baltimore, MD
💼
Employment
Internship
🛡️
Recruitment Type
Direct to HR Pipeline
🏭
Industry
General
👥
Company Size
🌐
Headquarters
United States
✈️
Visa & Sponsorship
Global Talent Consideration
✈️
Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from Drinkun Inc's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

Job Opening: Data Science Intern

Company Description:Drinkun Inc. is a trailblazing beverage delivery company based in Baltimore, MD. We are committed to enhancing the online shopping experience, promoting responsible drinking, and supporting local businesses. Our mission is to deliver exceptional beverages directly to our customers' doorsteps while championing sustainability and social responsibility.

Role Description:We are excited to offer an internship opportunity for a Data Science Intern to join our innovative team. This role involves a range of data analysis tasks, providing the intern with valuable hands-on experience in data science. You will contribute to projects involving data analytics, statistics, and data interpretation. This is a hybrid position based in Baltimore, MD, with the flexibility to work remotely.

Responsibilities:Scrape and format product details from the web, datasets, and multiple sources. Format the scraped data to align with our existing databases. Predict missing data points within large datasets. Analyze patterns from various POS systems and synchronize them with our database.

Qualifications:Analytical skills with a foundation in statistics and data analytics. Experience or coursework in Data Science and Data Analysis. Proficiency in programming languages such as Python or R.Excellent written and verbal communication skills. Ability to work independently and as part of a team. Attention to detail and strong problem-solving abilities. Experience with data visualization tools is a plus.

Additional Qualifications:Currently enrolled as a college student with a cumulative GPA of 2.5 or above, attending a Maryland higher education institution or a Maryland high school graduate attending an institution outside of Maryland. Recent graduate (within 12 months) of a Maryland higher education institution. Maryland resident with a 2 or 4-year degree, who has been honorably discharged from the U.S. Armed Forces, The National Guard, or a Reserve component of the Armed Forces within the last 18 months.

Application Instructions:Interested candidates should submit a resume, cover letter, and current transcripts as part of their application. Please highlight any relevant coursework or projects related to data science.

Frequently Asked Questions

How do I apply for the Data Science Intern position at Drinkun Inc? ▼

Click the “Apply for this Position” button on this page to submit your application directly to Drinkun Inc without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship? ▼

This position is located in Baltimore, MD with potential relocation and sponsorship assistance depending on candidate qualifications.

Are there any candidate fees on Hirely? ▼

No. Hirely is completely free for candidates. We never charge registration fees or placement fees.

🛡️ Job Seeker Safety Advisory

Legitimate employers will never ask you to transfer funds, purchase equipment from unauthorized vendors, or pay application/visa fees. Hirely rigorously monitors listings, but always verify communication is from official corporate email domains.

Learn how to protect yourself against employment fraud
Explore Other Roles