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Data Scientist

4 months ago

Montréal, Canada Dataiku Misc Postings Full time

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000+ employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we've set out to build the future of AI.

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. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

**In this role you'll help the team**:

- Co-develop production-level data science projects with our customers.
- Help users discover and master the Dataiku platform, via user training, office hours, and ongoing consultative support.
- Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams.
- Develop custom Python or R-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality.

**You might 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- 4 years' of experience with ML tools (e.g., Python, R).
- 1 - 4 years' of experience building models.
- Familiarity with data visualization in python, R.
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL.
- **Being bilingual in French would be a plus.**:

- **Location: Must be located on the East Coast or Central regions of the United States or Canada and can work remotely (20% client-based travel).**

**Technical skills that may help you in the role**:

- Experience with Consulting and/or Customer-facing Data Science roles.
- Experience with Data Engineering or MLOps.
- Experience developing WebApps in Javascript, RShiny, or Dash.
- Experience building APIs.
- Experience using enterprise data science tools.
- Passion for teaching or public speaking.

LI-Remote

**Compensation and Benefits**

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

**US only national base pay ranges**
- $115,000—$130,000 USD

**About Dataiku**:
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.