Junior Data Scientist (Part-Time) - Unlock Your Potential with Amazon
Job Overview:
We are seeking a highly motivated and detail-oriented Junior Data Scientist to join our team at Amazon. As a Junior Data Scientist, you will have the opportunity to work on exciting and impactful projects, gaining hands-on experience in data science and analysis while receiving exceptional mentorship and guidance. This part-time role offers a competitive salary of $24/hour and the potential for full-time employment upon successful completion of the program.
Key Responsibilities:
Develop pipelines for reports, analyze large-scale data, and leverage data in machine learning, advanced analytics, statistics, reporting, and scientific tooling/languages like SQL, Excel, and others
Analyze complex data sets, identify and solve real-world problems, and build metrics and business cases around key performance indicators
Utilize a customer-obsessed approach to determine insights and identify opportunities to improve the customer experience and conversion for the program
Requirements:
Currently enrolled in an accredited university Bachelor's or Master's degree program in Data Science, Computer Science, or a related STEM discipline
Ability to work part-time during the school year (16 hours/week) and full-time during the summer (40 hours/week)
Living within commutable distance to San Diego, CA
Preferred Qualifications:
Prior technical internship experience
Ability to effectively communicate technical challenges and solutions
Skilled at handling ambiguous or unclear problems and able to think conceptually
What We Offer:
Competitive salary of $24/hour
Exceptional mentorship and guidance from experienced data scientists and engineers
Opportunity for full-time employment upon successful completion of the program
Flexible working schedules that can be adjusted each quarter to accommodate class schedules
Are You the One We're Looking For?
If you believe you have what it takes to succeed in this role, submit your application today. We are eager to hear from talented candidates like you.
Apply Now
Apply Now
We are seeking a highly motivated and detail-oriented Junior Data Scientist to join our team at Amazon. As a Junior Data Scientist, you will have the opportunity to work on exciting and impactful projects, gaining hands-on experience in data science and analysis while receiving exceptional mentorship and guidance. This part-time role offers a competitive salary of $24/hour and the potential for full-time employment upon successful completion of the program.
Key Responsibilities:
Develop pipelines for reports, analyze large-scale data, and leverage data in machine learning, advanced analytics, statistics, reporting, and scientific tooling/languages like SQL, Excel, and others
Analyze complex data sets, identify and solve real-world problems, and build metrics and business cases around key performance indicators
Utilize a customer-obsessed approach to determine insights and identify opportunities to improve the customer experience and conversion for the program
Requirements:
Currently enrolled in an accredited university Bachelor's or Master's degree program in Data Science, Computer Science, or a related STEM discipline
Ability to work part-time during the school year (16 hours/week) and full-time during the summer (40 hours/week)
Living within commutable distance to San Diego, CA
Preferred Qualifications:
Prior technical internship experience
Ability to effectively communicate technical challenges and solutions
Skilled at handling ambiguous or unclear problems and able to think conceptually
What We Offer:
Competitive salary of $24/hour
Exceptional mentorship and guidance from experienced data scientists and engineers
Opportunity for full-time employment upon successful completion of the program
Flexible working schedules that can be adjusted each quarter to accommodate class schedules
Are You the One We're Looking For?
If you believe you have what it takes to succeed in this role, submit your application today. We are eager to hear from talented candidates like you.
Apply Now
Apply Now