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Graduate Data Science and Advanced Analytics Internship

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Internships
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Thanks for your interest in the Graduate Data Science and Advanced Analytics Internship position. Unfortunately this position has been closed but you can search our 0 open jobs by clicking here.
WHAT YOU BRING

• Pursuing an advanced degree in a quantitative discipline (e.g. Master’s or PhD studies in Analytics, Engineering, Economics, Finance, Computer Science, Statistics, etc.) with an expected graduation of Winter 2021 or Spring 2022
• Strong technical and analytical skillset required: experience with Microsoft BI, Tableau, SAS, Stata, R, Python, SQL, or Alteryx required; familiarity with Excel and PowerPoint preferred

• Core mathematical ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modeling
• Ability to project plan, lead, execute and deliver compelling and actionable user research in a face-paced environment, balancing rigor and speed
• Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
• Proven ability to use strategic tools and frameworks to analyze complex strategic problems, develop clear recommendations and present findings
• Proven ability to sift through data, identify critical information, develop hypotheses, perform rigorous analyses, and make recommendations to broader audiences
• Demonstrated ability to use data to influence decision making. Strong project management experience managing multiple project streams and complexity
• Excellent written and verbal communication skills, including superior presentation skills
• Strong interpersonal skills and open to learning new tools/techniques
• Passionate about Sport, Nike products and the consumer/retail industry

PREFERRED QUALIFICATIONS:
• 2+ years of experience in a role developing predictive or explanatory models and/or experimentation processes
• Experience with neural nets and deep architectures preferred
• Experience with moderate to large-scale data sets (>100GB) preferred
• Previous experience in working in a product management capacity for data science product
• Expertise in at least one production-quality programming languages (e.g. java, python, scala, C++)
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