FAQs
What educational background is required for this position?
A Bachelor’s degree in Business, IT, Engineering, Mathematics, Statistics, or a related discipline is required.
Is prior experience in data engineering necessary?
While practical experience in building data pipelines and models is preferred, this is an entry-level position and relevant coursework or projects can be considered.
What programming languages should I be familiar with for this role?
Familiarity with Python and SQL is required, with exposure to other tools and languages like Spark and Java being beneficial.
Are there opportunities for career growth within the company?
Yes, Ericsson encourages professional development and offers tuition reimbursement and opportunities to connect with Employee Resource Groups.
What type of projects will I be working on in this position?
You will work on leveraging data to derive insights and solutions, designing and implementing data models and machine learning algorithms, and automating various reports.
How does the hiring bonus work for this role?
The hiring bonus is $8,500 for candidates with a Bachelor's degree and $11,500 for those with a Master's degree.
What benefits does Ericsson offer its employees?
Ericsson offers a competitive salary, automatic company contributions and employer matching for retirement programs, at least 31 days of annual paid time off, unlimited sick time, and tuition reimbursement up to $8,000 per year.
Does Ericsson have initiatives for diversity and inclusion?
Yes, Ericsson champions diversity and inclusion as a core value and encourages people from all backgrounds to apply.
What kind of experience with machine learning frameworks is expected?
Introductory experience with machine learning frameworks such as PyTorch, TensorFlow, or Keras is preferred.
How many vacation days do employees receive?
Employees receive a minimum of 31 days of annual paid time off, depending on location, in addition to unlimited sick time.