Data Science Intern: Mentored Real-World Analytics

Cox Automotive Inc.; Atlanta (GA); On-site; USD 33,000 - 50,000; Part time

Job summary

Cox Automotive Inc. is seeking Data Science Interns in the United States, focusing on hands-on data work and mentorship. You’ll tackle ETL, data cleansing, and exploratory analysis, and forecast marketing activities while producing actionable reports.

The internship emphasizes collaboration with teams and exposure to machine learning results, with opportunities to develop skills in Python, PySpark, SQL, and cloud technologies. This paid internship includes mentorship and growth opportunities.

Qualifications

• STEM majors encouraged, preference to Math, Stats, CS, or Engineering.
• Intermediate to advanced analytical skills.
• Ability to conduct thorough research and use findings to inform decision-making.
• Python, PySpark, SQL or other coding and visualization skills are highly preferred.
• Hadoop and cloud computing.
• Strong analytic skills.
• Strong background in Mathematics, Computer Science, or Statistics.
• Background using Microsoft tools mentioned above.
• Detail-oriented and able to meet project timelines through good time management and prioritization.
• Oral and written communication skills and presentation skills.
• Positive attitude, determination, and humility.

Responsibilities

• Learn ETL processes and data loading for analysis.
• Perform data cleansing and exploratory data analysis.
• Work with diverse data sources to produce analyses.
• Analyze machine learning results.
• Measure effectiveness of marketing initiatives with optimized contact strategies.
• Produce reports summarizing findings.
• Forecast marketing activities.

Skills

Python

PySpark

SQL

Data visualization

Statistical analysis

Tools

Hadoop

Cloud computing

Job description

Cox Automotive Inc. is seeking Data Science Interns in the United States, focusing on hands-on data work and mentorship. You’ll tackle ETL, data cleansing, and exploratory analysis, and forecast marketing activities while producing actionable reports.

The internship emphasizes collaboration with teams and exposure to machine learning results, with opportunities to develop skills in Python, PySpark, SQL, and cloud technologies. This paid internship includes mentorship and growth opportunities.