Data Scientist
Toronto, Canada
Dataiku
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their data science and machine learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab — ask us about it!
The role of a Data Scientist at Dataiku is quite unique; our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey: supporting their discovery of the platform, helping integrate DSS with other tools and technologies, training users, and co-developing data science projects from design to deployment.
Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the DSS platform every day. Aside from the visual tools of DSS, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is comfortable learning complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
- Co-develop production-level data science projects with our customers
- Analyze and investigate various kinds of data and machine learning applications across industries and use cases
- Help users discover and master the Dataiku platform, DSS, via user trainings, office hours, and ongoing consultative support
- Provide data science expertise to customers and internally to Dataiku’s sales, marketing teams
- Develop custom python or R-based “plugins” in collaboration with R&D and product teams, to enhance DSS’s functionality
You may be a good fit for the role if you have:
- Curiosity and a desire to learn new topics and skills
- Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- 1-3 years of experience with python or R
- 1-3 years of experience with machine learning
- Familiarity with data visualization in python, R, and/or JavaScript
- Familiarity with relational data structures and/or SQL
Technical skills that may help you in the role:
- Experience with PySpark, SparkR, or Scala
- Experience developing WebApps in Javascript, RShiny, or Dash
- Experience building APIs
- Experience using cloud products and services from AWS, GCP, Azure, and/or Kubernetes
- Experience with or passion for teaching and/or public speaking
Benefits:
- Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini
- A wide diversity of projects and tasks ensures that no two days will be alike
- Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence
- Exposure to the latest, open source technologies that Dataiku integrates
- See here our release notes for our latest developments
- Competitive compensation package, equity, health benefits, and paid vacation
- Trips to Paris (our European HQ) and other locations worldwide for company-wide and team summits
- Opportunity to work with a smart, passionate and driven team in hypergrowth mode
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
Tags: APIs AWS Azure Data visualization GCP JavaScript Kubernetes Machine Learning Open Source PySpark Python R R&D Scala SQL
Perks/benefits: Career development Competitive pay Equity Health care
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