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Lead Instructor: Data Science (m/f/d)

Lead Instructor: Data Science (m/f/d)
WBS CODING SCHOOL
Berlino
EUR 45.000 - 75.000
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Lead Instructor: Data Science (m/f/d)

WBS CODING SCHOOL
Berlino
EUR 45.000 - 75.000
Descrizione del lavoro
YOUR MISSION.

Do you have a talent for storytelling, a passion for tech, and a drive to create content that inspires action? Then this is your chance to shine! Join WBS CODING SCHOOL, one of Germany's leading tech schools, and help shape the future of tech talent.

We’re on a mission to empower individuals to launch successful careers in tech. As our Lead Instructor, you will play a pivotal role in the learning success of our international students.

NOTE: Position open to the residents of Germany and Spain only.

YOUR RESPONSIBILITIES.
  • You teach engaging topics, conduct hands-on workshops covering topics like Python, SQL, Pandas, Tableau, Machine Learning, and more.
  • You guide and support students through projects and assignments.
  • You collaborate with other instructors and contribute to improving our teaching content.
  • You will provide feedback, mentorship, and motivation throughout the learning journey of the students.
  • You will take part in student evaluations, final project mentoring, and classroom events.
YOUR SKILLS.
  • You have 3+ years of practical or instructional experience in Data Science or Data Analytics.
  • You have a deep understanding and experience with SQL.
  • You have extensive experience with Python for Data Analysis (NumPy, Pandas, Matplotlib & Seaborn…) and Machine Learning (Scikit-Learn).
  • You respond empathetically to your students’ needs. Patience is one of your strong suits.
  • You love to share your knowledge and experience with the students and the team.
  • You are highly proficient in English, both spoken and written (C1+).

GOOD TO HAVE:

  • German language proficiency is a plus.
  • Ideally, you have some experience with Cloud Computing (Azure, Google Cloud) and know your way around Tableau or a similar tool for data visualization (Looker, PowerBI,…).
  • You are capable of performing A/B tests and are familiar with the main concepts around Statistical Inference.
  • An independent, structured way of working with a high degree of self-responsibility as well as intercultural competence.
WHY WORK WITH US?

We want our team members to look forward to coming to work, which is why we aim to cultivate a relaxed, friendly atmosphere and keep an open mind to everyone’s needs. If you believe in the value of education and have a positive can-do attitude, then this is the right place for you!

Purpose: Join a purpose-driven team with clear values and make a difference to the lives of others.

Flexibility: Flexible core working hours and remote work options – we value family friendliness and trust. Remote working option 180 days within EU.

Holidays: Permanent contract with 30 paid vacation days.

Coding Campus: Meet the team at least 2x per year in person on our Coding Campus Berlin – regardless of where you work.

Grow: Abundant Soft-Skill and Hard-Skill development opportunities (WBS GROUP learning catalogue, and LinkedIn learning account).

Celebrate: Regular company parties, team events and online gatherings – because life is more than just work!

Our policy on Diversity & Inclusion: At WBS CODING SCHOOL, we want to work with the best people and we want them to have a great career with us. And that’s why we are committed to an inclusive workplace that reflects the needs of a diverse workforce. WBS CODING SCHOOL offers flexible working practices and welcomes talent with every nationality, background and orientation. We believe in an environment where everyone can be themselves and feel appreciated for who they are and what they do.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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