TRAJECTORY GLOBAL LIMITED | Data Science Intern | Texas | United States | BigDataKB.com | 2022/10/29

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Job Location: Texas

As a Data Scientist Intern in Product & Technology, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Are you the teammate we are looking for?

Responsibilities

  • Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks
  • Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark
  • Conduct ad-hoc analyses and present results in a clear manner?
  • Create automated data and modeling pipelines and develop custom performance tracking
  • Collaborate with data scientists, data engineers, and product analysts to translate human capital management challenges into data science projects?
  • Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features

Qualifications

  • On track to graduate in Fall 2023 or Spring 2024 with a Master’s or Ph.D. in computer science, industrial engineering, statistics, industrial-organizational psychology, neurology, public policy, linguistics, or another quantitative field
  • Bachelor’s degree required
  • Strong previous experience with Python or R and demonstrated experience building production grade machine learning models
  • Able to work in a collaborative environment with a desire to share your ideas
  • Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members?
  • Preferred Skills

    • Previous relevant full-time work experience as a software engineer, data analyst, product manager, consultant, or another technical or analytical role
    • Experience with cloud infrastructure on AWS or Azure
    • Very strong (top 15%) Kaggle performance
    • Invested in staying current in data science by applying new technologies and practices




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