Evaluation technique en Python et en apprentissage automatique (Machine Learning), realisee sans assistance d'un modele massif de langage (LLM) - deux notebooks Colab, d'environ 45 minutes chacun
Evaluation technique en Python et en apprentissage automatique (Machine Learning), realisee sans assistance d'un modele massif de langage (LLM) - deux notebooks Colab, d'environ 45 minutes chacun
Student Research Specialist III _Non-FWS
Washington, DC · On-site +1
$20/hr
The candidate should be proficient in Python and comfortable working in notebook environments (e.g., Jupyter, Google Colab) with version-controlled, reproducible workflows. Working closely with ...
Student Research Specialist III _Non-FWS
Washington, DC · On-site +1
$20/hr
The candidate should be proficient in Python and comfortable working in notebook environments (e.g., Jupyter, Google Colab) with version-controlled, reproducible workflows. Working closely with ...
Colab information
See Washington, DC salary details
$39.1K - $49.1K
15% of jobs
$55.6K is the 25th percentile. Wages below this are outliers.
$49.1K - $59.1K
16% of jobs
$59.1K - $69K
13% of jobs
$69K - $79K
2% of jobs
The median wage is $88K / yr.
$79K - $89K
5% of jobs
$89K - $99K
18% of jobs
$99K - $109K
5% of jobs
$110.8K is the 75th percentile. Wages above this are outliers.
$109K - $119K
7% of jobs
$119K - $129K
14% of jobs
$129K - $139K
2% of jobs
$139K - $148.9K
3% of jobs
$39.1K
$88.5K
$148.9K
How much do colab jobs pay per year?
As of Aug 13, 2026, the average yearly pay for colab in Washington, DC is $88,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $113,300.00 per year, depending on experience, location, and employer.
What is the difference between Colab vs Data Analyst?
| Aspect | Colab | Data Analyst |
|---|---|---|
| Required Credentials | No formal degree required; knowledge of Python and data tools | Bachelor's degree in data science, statistics, or related field |
| Work Environment | Online, cloud-based platform for coding and collaboration | Office or remote, analyzing data sets, creating reports |
| Employer & Industry Usage | Used by data scientists, students, researchers for coding and experimentation | Employed by businesses across industries to interpret data and inform decisions |
Colab is a cloud-based platform primarily used for coding and collaboration in data science projects, often by students and researchers. Data Analysts typically have formal education and work in environments focused on analyzing data to generate insights. While Colab is a tool used by Data Analysts, the roles differ in scope and credentials.
How does a colab specialist typically interact with other departments to ensure successful project outcomes?
A Colab Specialist often acts as a bridge between multiple departments, such as marketing, product development, and external partners. They coordinate meetings, manage communication flows, and ensure that all stakeholders are aligned with project goals and timelines. This role requires excellent interpersonal skills and the ability to navigate differing priorities, as well as a proactive approach to problem-solving. Regular collaboration and updates are essential, making teamwork and adaptability key aspects of the job.
What are the key skills and qualifications needed to thrive as a colab specialist, and why are they important?
To thrive as a Colab Specialist, you need expertise in collaborative tools (such as Google Colab), proficiency in Python programming, and a strong background in data analysis or machine learning, often supported by a relevant degree. Familiarity with version control systems like Git, cloud computing environments, and commonly used libraries (e.g., NumPy, pandas) is essential. Excellent problem-solving, communication, and teamwork skills help facilitate effective collaboration and project management across distributed teams. These skills are crucial for enabling seamless workflow integration, efficient troubleshooting, and productive teamwork in data-driven environments.
What is a colab?
Colab jobs typically refer to roles involving the use of Google Colaboratory (Colab), a cloud-based platform for coding and data analysis, mainly in Python. Professionals in these roles often work on machine learning, data science, or research projects, leveraging Colab's capabilities to collaborate with others, run computations, and share results in real time. These jobs may require familiarity with Python, Jupyter notebooks, and cloud computing tools. Colab jobs are popular in academia, research, and industry settings where collaborative data analysis is essential.
What are popular job titles related to Colab jobs in Washington, DC?
For Colab jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Colab jobs in Washington, DC look for?
The top searched job categories for Colab jobs in Washington, DC are:
Full-time
Re-posted 4 days ago
Job description
Description de l'entreprise
Chez Coface, nous faisons avancer le commerce chaque jour.
Nos 5 200 experts, representant plus de 80 nationalites dans 58 pays, sont unis par une mission commune : aider les entreprises a naviguer dans l'incertitude en leur donnant les moyens de prendre les bonnes decisions et de commercer plus intelligemment dans un monde complexe.
Avec pres de 80 ans d'experience internationale, nous proposons aux entreprises une gamme complete de solutions : assurance-credit, informations d'entreprise, recouvrement de creances, assurance risque unique, cautions, affacturage - le tout porte par un patrimoine de donnees unique, une technologie de pointe, de l'innovation et une comprehension approfondie de l'economie mondiale.
Rejoindre Coface, c'est integrer une organisation internationale soudee, ou vos idees comptent.
Nous cultivons une culture d'apprentissage, de collaboration et d'inclusion, ou vous avez des responsabilites et pouvez constater l'impact de vos actions.
Faconnez l'avenir du commerce avec nous.
Rejoignez les Happeners !
Description du poste
Rattache a la Direction de la Strategie et du Developpement, le Data Lab regroupe des competences de Data Science, d'IA et de Software Engineering pour concevoir, developper et deployer des solutions operationnelles ameliorant les processus, les produits et les services de l'entreprise. L'equipe compte une trentaine de personnes reparties entre Paris, Toronto et Casablanca.
Le Data Lab cherche a mettre en uvre les meilleures pratiques de developpement, principalement en Python mais aussi en React et en Java, et gere des pipelines CI/CD pour deployer des applications et des APIs sur les infrastructures Docker/Kubernetes, sur Apache Airflow et dans le Cloud.
Le partage des connaissances par des presentations entres membres de l'equipe, la formation et la veille technologique sur du temps reserve font partie du mode de fonctionnement du Data Lab.
Les cas d'utilisation de la data science sont varies et aboutissent a des mises en uvre concretes dans les outils internes et les applications clientes, par exemple :
- Scoring du risque de defaillance des entreprises
- Extraction d'informations a partir d'images et de documents
- Construction et exploitation de graphe de connaissances
- Moteur de recherche specialise dans l'identification des entreprises
- Modelisation et simulations financieres
Les missions :
- Vous integrez l'equipe de Data Lab de Coface et travaillez le plus souvent en binome ou dans des equipes reduites sur des projets innovants
- Vous concevez et developpez completement des solutions pouvant mettre en uvre des technologies de Machine Learning, jusqu'au deploiement sur nos infrastructures de containers ou dans le cloud, et au monitoring en production
- Vous contribuez a la veille technologique
Qualifications
- Diplome d'Ingenieur ou equivalent en Data Science : apprentissage supervise et non-supervise, clustering, NLP...
- Deux annees ou plus d'experience dans un role similaire
- Maitrise de Python, son ecosysteme et des bonnes pratiques de revue de code et d'integration continue
- Utilisation de Linux et Git
- Autonomie, curiosite, rigueur
- Anglais : projets dans des contextes internationaux
Competences appreciees :
- Experience en developpement d'application Python avec des standards de qualite eleves
- Mise en uvre de chaine CI/CD
- Experience de deploiement Docker/Kubernetes et d'application dans le cloud
- Pratique de SQL et experience en bases NoSQL (document, graph)
Informations complementaires
- Questionnaire a choix multiples (QCM) portant sur les competences techniques requises pour le poste - duree estimee : 10 minutes
- Entretien technique, incluant une revue du parcours professionnel du/de la candidat(e) - duree estimee : 1 heure
- Evaluation technique en Python et en apprentissage automatique (Machine Learning), realisee sans assistance d'un modele massif de langage (LLM) - deux notebooks Colab, d'environ 45 minutes chacun
- Entretien avec le service des ressources humaines - duree estimee : 45 minutes
- Presentation d'une proposition d'embauche