Data Scientist, West
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
We’re accepting applications from candidates who would be interested in future Data Scientist opportunities at Dataiku. While we don’t have an open position right now, we expect to be recruiting for this role in the future. We’d love to exchange with candidates who have the right skills and experience so that we can quickly start interviewing when an opportunity opens up.
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.
Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.
How you’ll make an impact
- 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, 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.
What you’ll need to be successful
- 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.
- Location: Must be currently located within the Central, Pacific, or Mountain time zones.
What will make you stand out
- 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.
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.
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