Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc
Open 6 months, first seen by us 204 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Assess feasibility of use cases and translate business challenges into technical formulations
Choose and train algorithms, and build and test solutions against statistical hypotheses
Assess, clean and aggregate data quality before modelling
Move models to production using MLOps principles and troubleshoot them in production
Build data visualisations to generate insights and support data storytelling
Qualify the feasibility of Use Cases, translating business challenges into technical formulations
Compare and choose the right algorithms based on defining the right statistical hypothesis
Assess the quality of the data; clean and aggregate when necessary
Follow principles of MLOps when moving models to productions
You develop data visualisation features to generate insights and support data storytelling
Must have at least 3 years of prior Data Science experience
VERY Proficient in Python
Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
at least one proven experience in developing Statistical and ML algorithms
Excellent interpersonal and communication skills
Good knowledge of MLOps principles.
- VERY Proficient in Python - Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline - Excellent interpersonal and communication skills
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 204
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 10,204 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Must have at least 3 years of prior Data Science experience - VERY Proficient in Python - Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
- Preferred experience in Cloud Technologies; - Good knowledge of Spark; - Good knowledge of MLOps principles.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Who we are ?
Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.
Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI.
Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:
When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered :
Profile Minimum requirements :
Preferred requirements :
Come join us !
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Capital Tower, Boulevard Mly Youssef, Casablanca, Maroc
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.