FAQs
What is the job title for this position?
The job title is Junior Data Scientist.
What educational qualifications are required for this role?
A Bachelor's degree in computer science, Information Technology, or a related field is required.
Is prior professional experience in data science needed for this position?
No, this role is ideal for entry-level professionals and is suited for recent graduates with academic experience in data-related projects.
What key skills are emphasized for applicants?
Strong knowledge of SQL and Python, understanding of data structures, algorithms, and relational databases, good problem-solving skills, and attention to detail are emphasized.
What are the primary responsibilities of the Junior Data Scientist?
Responsibilities include assisting in data collection, cleaning, transformation for analytics and reporting, writing SQL queries, supporting data pipelines, collaborating with senior members, and documenting processes.
Are there opportunities for professional development and growth within Capgemini?
Yes, Capgemini promotes career empowerment and offers a collaborative community for support and inspiration, allowing employees to shape their careers.
What is the base compensation range for this position?
The base compensation range for this role is $60,000 - $65,000 USD.
Will candidates have to relocate for this job?
Yes, candidates must be open to relocation for this role.
What benefits are offered to full-time employees at Capgemini?
Benefits may include paid time off, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, employee assistance programs, and other benefits based on local policy and eligibility.
How does Capgemini ensure inclusion within the workplace?
Capgemini is an Equal Opportunity Employer and encourages inclusion, participating in programs that promote fairness, accessibility, and respect for diverse communities.
What should candidates know about the interview process?
Candidates should be aware that Capgemini may capture images during the interview process for verification, including during hiring and onboarding.
Is experience with data visualization tools preferred?
Yes, exposure to data visualization tools like Tableau or Power BI during academic projects is preferred.
Are there any specific programming languages required for data manipulation?
Strong knowledge of SQL and Python is required, and familiarity with other programming languages for data manipulation is preferred.