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Internship Data Science Analytics Jobs in Texas (NOW HIRING)

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ...

Required : • 2-5 years of professional experience in data science or advanced marketing analytics. • Strong command of R and/or Python for data manipulation and statistical analysis. • Deep ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

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Internship Data Science Analytics information

What is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

What are the most commonly searched types of Data Science Analytics jobs in Texas? The most popular types of Data Science Analytics jobs in Texas are:
What cities in Texas are hiring for Internship Data Science Analytics jobs? Cities in Texas with the most Internship Data Science Analytics job openings:
Data Science Analyst

Data Science Analyst

Copart, Inc.

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 16 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart data science initiatives through the analysis and implementation of data science solutions. The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current products and visualize and report on findings and results to provide insight to the organization
Job Duties:
  • Design, implement, and analyze data science projects to improve the efficiency of Copart Operations
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model, and other analysis prior to presenting with internal customers
  • Apply insights from data analysis to guide the development of business initiatives.
  • Apply various machine learning techniques to build predictive models.
  • Continually engage in professional development to grow both technical skills, business, and industry knowledge.

Required Skills and Experience:
  • 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques. Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation in SQL
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance.
  • Strong data visualization skills using open-source tools (seaborns, matplotlib, plotly, ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques.

Benefits Summary:
• Medical/Dental/Vision
• 401k plus a company match
• ESPP - Employee Stock Purchase Plan
• EAP - Employee Assistance Program (no cost to you)
• Vacation & Sick pay
• Paid Company Holidays
• Life and AD&D Insurance
• Discounts
Along with many other employee benefits.
#LI-KK1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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