Junior Data Scientist - Casablanca
Artefact · Paris, Île-de-France, France
- On site
- Full-time
- $60,000 / year
- Paris, Île-de-France, France
Job highlights
- Lead data transformation projects for clients.
- Develop data science products and solutions.
- Collaborate with consulting teams on client needs.
- Upskill data science team and share knowledge.
- Write optimized code for internal tools.
About the role
About Artefact
Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organisations and are experiencing significant growth.
Our data-driven solutions are designed to meet clients’ specific needs with a business-centric approach and tangible results. We leverage deep AI expertise gained from over 1000 clients globally. With 850 employees across 20 offices, we accelerate digital transformation using state-of-the-art data technologies, agile AI methodologies, and cohesive teams of business consultants, data analysts, data scientists, data engineers, and digital experts.
What You Will Be Doing
As a Junior Data Scientist, your role will encompass:
- Contributing to ambitious projects focused on client transformation through data.
- Developing data science products and solutions for clients and the internal data science team.
- Collaborating closely with consulting counterparts to understand client needs and build strong relationships.
- Supporting the upskilling of the data science team and promoting our work across departments.
- Ensuring high standards in mission delivery and providing feedback to less experienced Data Scientists.
- Writing optimised code to enhance Artefact’s internal toolset and knowledge base.
What You Will Learn With Us
- Deliver impactful, successful projects on real-world problems across various industries by building end-to-end machine learning pipelines.
- Construct complex solutions in feature teams with Data Scientists, ML Engineers, Data Engineers, Software Engineers, and Product Owners.
- Improve software engineering skills by applying MLOps best practices and collaborating with Machine Learning teams.
- Become an expert in specific data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence.
- Discover and test state-of-the-art algorithms on real-world data during client projects.
What We Are Looking For
We are seeking individuals who embody the following traits:
- A Doer: You get things done and inspire teams.
- An Analyst: You love data and believe in fact-based decision-making.
- A Pragmatist: You have a hacker mindset and find quick wins.
- A Mentor: Clients and teams naturally seek your advice.
- An Adventurer: You are an entrepreneur constantly looking for problems to solve.
Qualifications: Education & Experience Required
- Master’s degree in machine learning, mathematics, computer science, or related fields.
- Proven experience developing and applying data-driven solutions in a corporate or consulting setting.
- Strong knowledge of data processing, data modeling, algorithms, and data architecture.
- Fluency in at least one of the following languages: Python, R, SQL.
- Experience in leading a technical project in a business context.
- Intellectual curiosity and excellent problem-solving skills, with the ability to structure and prioritise approaches for maximum impact.
Why You Should Join Us
Artefact is the place to be for aspiring data leaders of tomorrow.
- Innovation: Every day offers new challenges and learning opportunities.
- Culture: Join a top-tier team with a collaborative environment.
- Entrepreneurship: Be part of a driven team committed to making a significant industry impact.
Discover concrete projects on our Medium blog!
Key skills/competency
- Data Scientist
- Machine Learning
- Python
- Data Modeling
- Algorithms
- Data Architecture
- Data Processing
- SQL
- R
- Problem-Solving
Skills & topics
- Data Scientist
- Junior Data Scientist
- Machine Learning
- Python
- Data Modeling
- Algorithms
- Data Architecture
- Data Processing
- SQL
- R
- Problem-Solving
- Casablanca
- Artefact
- Data Consulting
- Digital Marketing
How to get hired
- Tailor your resume: Highlight your Master's degree, 3+ years experience, and proficiency in Python/R/SQL.
- Showcase project leadership: Emphasize experience leading technical projects in business contexts.
- Demonstrate problem-solving skills: Detail your ability to structure and prioritize approaches for impact.
- Align with Artefact's values: Showcase your 'Doer', 'Analyst', 'Pragmatist', 'Mentor', and 'Adventurer' traits.
- Prepare for technical & behavioral questions: Be ready to discuss data modeling, algorithms, and client collaboration.
Technical preparation
Master ML algorithms and data modeling techniques.,Practice Python, R, and SQL for data manipulation.,Build end-to-end ML pipelines.,Understand MLOps best practices.
Behavioral questions
Describe a time you led a project.,How do you approach complex data problems?,Give an example of finding a quick win.,How do you mentor less experienced colleagues?
Frequently asked questions
- What are the key responsibilities for a Junior Data Scientist at Artefact?
- As a Junior Data Scientist at Artefact, you will contribute to client data transformation projects, develop data science products, collaborate with consulting teams, support team upskilling, and write optimized code for internal tools. You'll learn to build end-to-end ML pipelines and become an expert in areas like NLP or MLOps.
- What qualifications are essential for the Junior Data Scientist role at Artefact?
- We require a Master's degree in a relevant field (ML, Math, CS), 3+ years of experience in data-driven solutions, strong knowledge of data processing, modeling, and algorithms, and fluency in Python, R, or SQL. Experience leading technical projects and excellent problem-solving skills are also crucial.
- What kind of learning and development opportunities does Artefact offer Junior Data Scientists?
- Artefact provides opportunities to deliver impactful projects across industries, build complex solutions with diverse engineering teams, improve software engineering skills via MLOps, and specialize in areas like Time Series Forecasting, NLP, or Computer Vision, while testing state-of-the-art algorithms.
- How does Artefact foster a 'Doer' mentality in its Junior Data Scientists?
- Artefact encourages a 'Doer' mentality by empowering you to take ownership of projects, inspire your team, and focus on delivering tangible results. The emphasis is on action, quick wins, and driving projects forward from conception to completion.
- Can you elaborate on the 'Pragmatist' and 'Adventurer' qualities sought in Artefact's Junior Data Scientists?
- The 'Pragmatist' quality means having a hacker mindset to find efficient solutions and quick wins. An 'Adventurer' is someone who acts like an entrepreneur, constantly seeking new problems to solve and opportunities for innovation within the data space.
- What is the typical team structure for a Junior Data Scientist at Artefact?
- You will work within 'feature teams' alongside other Data Scientists, ML Engineers, Data Engineers, Software Engineers, and Product Owners. You will also collaborate closely with your Consulting counterpart to understand and address client needs.
- What are the specific data science practices mentioned for specialization at Artefact?
- Junior Data Scientists at Artefact have the opportunity to become experts in one of our key practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence.