Intern, Data Scientist

🔥 14 hours ago

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

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👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acxiom

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1968

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.

📋 Description

• Support data-driven storytelling initiatives across the tower, focusing first on GM • Leverage Acxiom data and partner data from Equifax, Polk, and Commerce Signals to develop high-value audiences and other models • Help coordinate and prepare activities to build, test, and improve data solutions • Apply statistical modeling algorithms to improve existing product performance and quality • Build, evaluate, and optimize models • Collaborate with internal and external stakeholders to understand business and insight goals • Collaborate with data scientists and team leads to define data sources, patterns, requirements, and implementation • Work with the account team to transition development projects to production systems

🎯 Requirements

• Currently pursuing a Bachelor's or Master's in Business • Coursework in a quantitative field such as Data Science, Statistics, Math, or related degree programs • Anticipated graduation date between December 2027 and May 2028 • Basic to moderate SQL experience to model and identify patterns • Experience with applying statistics and data science tools on datasets • Experience with scripting languages such as Python, Perl, etc. • Ability to read and understand Java logs and XML to identify issues • Familiarity with data platforms, analytics, and visualization solutions such as Google Cloud Platform, Google Analytics, Tableau, and Looker preferred • Strong interpersonal and communication skills • Ability to work independently and as part of a team • Detail-oriented with excellent organizational skills • Proficiency in Microsoft Office Suite and CRM software is a plus • Ability to leverage critical data-driven thinking and translate data into actionable insight • Ability to balance quantitative rigor with inconsistent business data • Attention to detail and time management while delivering high-quality work across multiple projects and meeting deadlines

🏖️ Benefits

• 20-25 hours/week during the semester and up to 40 hours/week during breaks and summer • Healthy work-life balance • Innovative, high-performance workplace culture • Professional development and promotion from within • Equal opportunity employment