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Intern Temp (Data Science)

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SUMMARY: Under supervision of the Corporate Strategy Team, the Intern will support an array of strategic initiatives, and varying data science tasks. Most importantly, with an open mind and receptive attitude, the Intern will have access to an unlimited amount of developmental opportunities. In turn, through this development, the Intern will be able to demonstrate their skills across the organization, to include senior leadership.

  • Build analytics models on large-scale datasets to address various business use cases by applying advanced statistical modeling, machine learning, or deep learning techniques.
  • Work alongside data engineers and other data scientists to research and develop analytics models by processing, analyzing, and interpreting large data sets.
  • Research and use analytical rigor and statistical methods, mine through data, and model business use cases.
  • Participate and engage with business stakeholders to understand business needs and build machine learning algorithms based on requirements and come up with data-driven strategic insights.
  • Research and perform statistical analyses and communicate findings.
  • Assisting management with daily tasks such as typing correspondence, entering data into a computer, conducting research, assembling presentations, and most importantly influencing the team through ideation.
  • Additionally, the role may include synthenizing market and competitor reports in summaries.
  • Under direct supervision, may be responsible for organizing and scheduling appointments, and other clerical duties that may be needed under the direction of management.
  • Morever, the overall responsibilities are based on supporting the strategy team with its initiative to support the organization.

  • Enrolled in a Master's degree program or Ph.D. degree program, preferably in computer science, applied data science, statistics, or mathematics

  • Experience within s tatistics, regression, classification, time series forecasting, optimization.
  • Coding within Python (pandas, numpy, scikit-learn, statsmodels) and SQL

  • Proficient in Microsoft Office products, including Excel, Outlook and Word.
  • Machine Learning, NLP (Natural Language Processing), Bayesian Optimization.
  • Microsoft PowerBI, Microsoft Azure, AWS Sagemaker, Snowflake, RapidMiner, Databricks, Qlik Compose, DAX Studio.
  • Ability to communicate methods and results of analyses, Basic understanding of logistics and transportation sector is a plus

COMPETENCIES: Ability to communicate effectively, verbally and in writing. Ability to establish and maintain effective working relationships. Ability to demonstrate effective customer service skills. Ability to prioritize, organize and perform multiple work assignments simultaneously while meeting assigned deadlines. Ability to perform accurately in a detail oriented environment. Ability to function effectively with or as part of a team. Skill in preparing clear and concise communications and messages. Knowledge of applicable computer applications and basic computer functions.


JOB SCOPE: Position impacts multiple business units/segments.

WORKING CONDITIONS: Normal office environment with little exposure to excessive noise, dust, temperature and the like. Extended use of a computer keyboard, viewing of a computer monitor and the ability to sit for long periods of time.

Associated topics: c#, c c++, computer science, electrical, linux, machine learning, matlab, programming, radar, software engineer
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