At a Glance
- Tasks: Lead data science projects and support clients in using the Dataiku platform.
- Company: Join Dataiku, a pioneer in AI since 2013, with a global team of over 1,000.
- Benefits: Enjoy stock options, flexible spending accounts, and a 401k match among other perks.
- Why this job: Make a real impact in AI while collaborating with diverse teams and clients.
- Qualifications: Must be bilingual in Spanish and English with 3+ years in Python and SQL.
- Other info: Travel up to 10% required; bonus points for consulting experience.
The predicted salary is between 42000 - 72000 £ per year.
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.
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, deliver user training and coaching, and co-developing data science projects from design to deployment.
Responsibilities include (but are not limited to):
- Lead technically the delivery of client use case developments or migrations
- Scope and develop production-level data science projects for our customers across different industries and use cases
- Help users discover and master the Dataiku platform, via demos, instructor led user trainings, and ongoing consultative support
- Provide strategic input to the customer and internal account teams that help make our customers successful
- Raise risks and issues with the Dataiku engagement managers for a successful time to value and implementation
- Diplomatically tackle complex technical matters and challenging situations with partners and customers
- Provide data science expertise both to customers, partners and internally to Dataiku’s sales and marketing teams
- Inspire trust and demonstrate leadership in the field of AI, Responsible AI, and Generative AI to your peers, and to our customers and prospects
- Contribute to the selling of the services in your region by bringing new service leads and scoping additional projects
- Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
Success Profile:
- Technical lead experience in the space of data science and analytics
- Curiosity and a desire and ability to learn new topics and skills at pace
- 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
- Over 3 years of experience with Python and SQL
- Over 4 years of experience with building ML models and using ML tools (e.g., sklearn)
- Familiarity with data visualization in Python and R
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
- Language: Must have bilingual proficiency in Spanish and English
- Travel: Willingness to travel up to 10%
Bonus points for any of these:
- 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. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
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. 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.
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Data Scientist, Spanish Speaking Americas employer: Tbwa Chiat/Day Inc
Contact Detail:
Tbwa Chiat/Day Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Spanish Speaking Americas
✨Tip Number 1
Familiarize yourself with Dataiku's platform and its capabilities. Understanding how to leverage the tools available will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Showcase your bilingual skills in Spanish and English during networking opportunities. Engaging with professionals in both languages can help you build connections and highlight your ability to communicate effectively with diverse teams.
✨Tip Number 3
Prepare to discuss your experience with client-facing roles. Be ready to share specific examples of how you've successfully communicated complex data science concepts to non-technical audiences, as this is a key aspect of the job.
✨Tip Number 4
Stay updated on the latest trends in AI and data science. Being knowledgeable about current developments will not only impress interviewers but also position you as a thought leader in the field.
We think you need these skills to ace Data Scientist, Spanish Speaking Americas
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in data science, particularly with Python and SQL. Mention specific projects where you've built ML models or used data visualization tools, as this aligns closely with the role's requirements.
Showcase Bilingual Proficiency: Since the role requires bilingual proficiency in Spanish and English, be sure to highlight your language skills prominently. You might include examples of how you've used both languages in professional settings.
Demonstrate Client-Facing Skills: Given the importance of client interaction in this role, provide examples of your experience in customer-facing positions. Discuss how you've successfully communicated complex technical topics to non-technical audiences.
Express Your Passion for AI: Convey your enthusiasm for AI and data science in your application. Share any relevant experiences that demonstrate your curiosity and eagerness to learn, as well as your commitment to responsible AI practices.
How to prepare for a job interview at Tbwa Chiat/Day Inc
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, SQL, and machine learning models. Highlight specific projects where you've successfully implemented these skills, as this role requires a strong technical foundation.
✨Demonstrate Your Client-Facing Skills
Since the role involves interacting with clients, share examples of how you've effectively communicated complex technical concepts to non-technical audiences. This will show your ability to bridge the gap between data science and client needs.
✨Emphasize Your Curiosity and Learning Ability
Dataiku values individuals who are eager to learn. Be ready to discuss how you stay updated with the latest trends in AI and data science, and provide examples of new skills or technologies you've recently mastered.
✨Prepare for Cultural Fit Questions
Dataiku emphasizes collaboration and diversity. Think about how your values align with their mission and be ready to discuss how you can contribute to a positive team environment and support diverse perspectives.