Adrien Charruey and Marion Jullien (Data Scientist Super Intern and recently recruited for full-time position in Industry Intelligence & Strategic Corporate Planner at Dassault Systèmes, respectively) share their insights on the educational and professional path to becoming a Data Scientist, the role within a company, the challenges faced, and the skills required and developed along the way.
How did you reach your current positions?
What challenges have you encountered so far?
Though we’re at different stages in our careers, the challenges are similar. You’ll deal with different datasets from those you’ll have encountered in school, plus you will need to handle pressure, stakeholder management, and working within a complex ecosystem.
However, these should be viewed as growth opportunities rather than hurdles, as the role of Data Scientist really enables you to evolve into a strategic player within a company, rather than just executing tasks. This profession’s beauty really lies in being involved in the actual decision-making., not just reporting to leadership.
How would you differentiate a Data Scientist
from a Data or Business Analyst?
Can you describe a typical day in the life of a Data Scientist?
What skills and qualities are necessary
for success in the profession?
Project management is very important, and you need to quickly get proficient with complex data analysis tools used to support corporate strategies. You’ll often be working on project internal customed tools and platforms and will need to be capable of advocating approaches to data recuperation (data strategies - simpler), directly to senior management.
Communication is therefore key as well. Don’t think for one minute that the Data Scientist works alone in their corner – understanding a business’ needs and coming up with appropriate solutions based on data analysis requires speedy comprehension of the desired strategy and explanation of the most desirable solution.
What advice would you give to students and
graduates considering this path?
emlyon business school Digital Master Program:
Master in Data Science & Artificial Intelligence Strategy
Master in Digital Marketing & Data Analytics
Master in Data Science &
Artificial Intelligence Strategy
1 or 2 years, taught in English
4-6 months of Internship (Optional in Y1)
This program will equip you with the skills to understand and apply artificial intelligence and data analysis at a practical level. Non-technical soft skills are key to achieving long-term success in any industry as well. These include data-driven decision-making, critical thinking, business acumen and entrepreneurial mindset, teamwork, and leadership.
Delivered in Paris with an international Term and a one-week long International Seminar
Curriculum
Career Development
Future Job
■
AI Strategist
■
Data Scientist
■
Machine Learning Engineer
■
Business Intelligence Analyst
■
Consultant in Data governance
■
AI consultant
■
Tech project leader
■
Financial analyst
Future Employers
International Partners
Admission
■
Apply in Y1：An International Bachelor's degree in 3 years (Bac+3)
Apply in Y2：An International Bachelor's degree in 4 years (Bac+4)and above
(A certificate of mutual recognition of the academic programme maybe required)
*Students can choose to apply for Year 1 / Year 2 admission according to their own situation.
■
An English proficiency test: TOEFL iBT, TOEIC, IELTS, Cambridge
■
Test score of GMAT/GRE/TAGE-MAGE
■
Digital Test
■
Tuition Fees: Register in Y1: €13,750 (Y1) +€24,750 (Y2)
Register in Y2: €28,750
■
Application Fees: €120
Master in Digital Marketing & Data Analytics
1 or 2 years, taught in English
4-6 months of Internship (Optional in Y1)
Trained in both digital marketing and data analytics, acquiring hard skills (Python, R, HTML, etc.) as well as knowledge of digital industry management and data security, and working on real-life case studies in partner organisations.
Delivered in Paris with an international Term and a one-week long International Seminar
Curriculum
Career Development
Future Job
■
Data analyst
■
Marketing consultant
■
CRM and Digital marketing manager
■
Digital marketing project manager
■
Market research analyst
■
Business analyst
Future Employers
Employability
Admission
■
Apply in Y1：An International Bachelor's degree in 3 years (Bac+3)
Apply in Y2：An International Bachelor's degree in 4 years (Bac+4)and above
(A certificate of mutual recognition of the academic programme maybe required)
*Students can choose to apply for Year 1 / Year 2 admission according to their own situation.
■
An English proficiency test: TOEFL iBT, TOEIC, IELTS, Cambridge
■
Test score of GMAT/GRE/TAGE-MAGE
■
Digital Test
■
Tuition Fees: Register in Y1: €13,750 (Y1) +€24,750 (Y2)
Register in Y2: €28,750
■
Application Fees: €120
Contact us
Email: asia@em-lyon.com
Master in DSAIS: https://masters.em-lyon.com/en/master-data-science-artificial-intelligence
Master in DMDA: https://masters.em-lyon.com/en/master-digital-marketing-data-analytics
End
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