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Tbwa Chiat/Day Inc

Data Scientist - Talent Pool

Tbwa Chiat/Day Inc, Atlanta, Georgia, United States, 30383


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. 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 mainland United States. What will make you stand out

Experience with Consulting and/or Customer-facing Data Science roles. Experience with Data Engineering or MLOps. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. 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. US only national base pay ranges

$140,000 - $180,000 USD What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! 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.

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