Data Scientist

Hey you \uD83D\uDC4B Want to work for one of the fastest growing SaaS companies in the world? \uD83D\uDCC8

We’re building the next generation of learning software that companies like AWS, Netflix, Opentable and L’Oreal rely on to deliver training \uD83D\uDCBB We believe learning is for everyone, and that we all have something we can learn from each other. We rely on one another to continuously innovate our products and processes to create an exceptional experience for our employees, customers and partners.

Still not sure? We are a culture where values are at the center of everything we do. We also embody what we call the
**Docebo Heart**. We trust our teammates, assume the best of one another, and also hold space for all the differences that make us better. \uD83D\uDC99

Are you ready to be a part of the learning revolution? \uD83D\uDE80

**About This Opportunity**:
A
**Data Scientist** is expected to lead the design and implementation of a variety of robust and efficient data mining and analysis pipelines, using best-in-class programming languages, data manipulation frameworks and tools, drawing from multiple heterogeneous and large-scale data sources, either semi-structured or unstructured.

**Reports to**:AI Product Owner

**Location**: Biassono, Italy - Docebo SpA

**Responabilities**:

- Work and collaborate in a multi-functional team, composed of the AI product owner, data scientists, backend software engineers, an MLOps, a data engineer, a Cloud Engineer, a Scrum master, and a QA specialist.
- Advise the AI Product Owner on best-in-class techniques and technologies for the problem at hand
- Lead the creation of data mining and analysis procedures and pipelines from multiple loosely associated data sources, including large-scale live sources.
- Contribute to hypothesis formulation, and lead hypothesis testing on the mined data
- Build predictive models using a variety of Machine Learning techniques including regression models, time series, clustering and classification models, etc.
- Build a variety of neural models, leveraging best-in-class Deep Learning techniques and frameworks, such as Transformers.
- Work on a range of different recommender systems use cases.
- Conceive and implement methods for the continuous monitoring and improvement of Machine Learning models delivered in production.

**Requirements**:

- Strong analytical skills
- Strong statistics, data mining and machine learning foundations
- At least 5 years of experience in data mining, data analysis, and Machine Learning, working on large-scale projects and heterogeneous data sets.
- Strong programming skills within the Python ecosystem
- Considerable experience with major Machine Learning, Natural Language Processing, and Deep Learning frameworks, such as scikit-learn, nltk, Tensorflow, Pytorch.
- Experience with tools for the management of experiments and their visualization such as MLFlow, Tensorboard, and DVC
- Strong teamwork attitude
- Solid software engineering expertise
- Fluency in English
- Master's degree in Computer Science, Math, Statistics, Physics or similar. PhD a substantial plus.

**Preferred requirements**:

- Knowledge of service-oriented computing, specifically the REST paradigm, and microservices
- Hands-on experience with commercial cloud platforms, such as Amazon Web Services and Google Cloud
- Experience with big data platforms, such as Spark, Databricks or equivalent
- Attitude to work and deliver within the context of agile development methodologies

LI-Hybrid

**Benefits & Perks** \uD83D\uDE0D
- Inclusive and flexible work environment
- Generous Vacation Policy, plus 2 extra floating holidays to use for religious or cultural events that matter to you
- Employee Share Purchase Plan
- Career progression/internal mobility opportunities
- Four employee resource groups to get involved with (the Docebo Women's Alliance, PRIDE, BIDOC, and Green Ambassadors)

**About Docebo** \uD83D\uDC99

Here at Docebo, we power learning experiences for over 3000 customers around the world with our easy-to-use, AI-powered Suite designed to close the enterprise learning loop. We have successfully achieved 2 IPOs (TSX: DCBO & NASDAQ: DCBO), been recognized as a Top SaaS e-learning Solution, and are growing exponentially in the process.

Docebo is a global company with offices in North America, EMEA, APAC and more. Our people believe in six core values, simply defined and manifested in everything we do