Data Scientist - Training Specialist

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 800 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and Serena, we’ve set out to build the future of AI. 
Dataiku’s challenge is big: Enabling all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation.
We are looking for a passionate Data Scientist - Training specialist to contribute to the development and delivery of Dataiku world class learning resources which meet market needs.
As a member of the Educational Services department, which aims to provide exceptional learning experience to our customers and our partners, the Data Scientist Training Specialists team, you will directly report to the Data Scientist Training Specialists Team Leader.Your main missions will be to:-  Create, implement and improve the training & certification materials, enhancing methods on multiple learning modalities (online, virtual instructor-led and classroom based training curriculums) - Deliver “in-person” trainings and office hours to our customers
We are looking for an empathetic, ambitious, outgoing and tech-savvy profile who will be able to:- Adapt to environment changes and technological up to date- Act as a key point of contact between different internal and external stakeholders daily- Master highly advanced technical subjects, but also develop materials and labs that are concise, accurate and task-based
If you are passionate about Data Science and Technologies with excellent written skills, this will be a fantastic opportunity for you to improve your data science and AI technologies skillset.
As an ideal candidate, You are: Pedagogue. You have a passion for education and learning. You enjoy learning new concepts and technology and are passionate about how to best explain it to others.Excellent Communicator. Excellent Verbal, written communication and presentation skills with strong interpersonal skills and relationship building are a must.Data Rock Star. You have the Technical skills and the ability to acquire in-depth knowledge and use of Dataiku product (DSS) with a good knowledge of the Data Science and Data Architecture concepts.

What You'll Do :

• Courses Design

- Design and develop technical course content and lab exercises, in collaboration with the technical writers, for both online and in-person- Translate complex technical concepts and components into accurate and impactful visual aids  in collaboration with the e-learning graphic designer- Develop the certifications assessment (hands-on project on DSS and Multiple Choice Questions) in collaboration with the technical writers and Build / maintain lab server environments- Collaborate effectively with other Data Scientists - Training Specialists, with the E-learning Graphic Designer  and with the Technical Writers team- Collaborate effectively with key stakeholders (Customer Success Managers, Partner Managers, Tech Alliance), subject matter experts (Data Scientist and Architects) to understand the training needs of our customers and partners, and improve training solutions

• Standard DSS Series Training Delivery: Deliver in-person and virtual training
• Office Hours Delivery: Deliver Office Hours to support customers
• Work closely with the Data Scientists and Product team to stay up to date on all DSS capabilities and new features
• Learn and constantly refresh on learning and coaching techniques to deliver DSS training in ways that drive enthusiasm and passion in class rooms or virtual training sessions

Qualifications:

• BSc or MSc in Computer Science, Engineering, MIS, Business Administration, or a closely related field
• At least 1 year of experience of working in an Analytics Company
• Technical knowledge in key data analysis areas (machine learning algorithms, statistical analysis, relational database modelling, advanced SQL, data manipulation and wrangling as well as experience -or at least familiarity- with a programming language such as Python
• Excellent problem solving and analytical skills with an aptitude for learning new technologies
• Proven ability to explain and communicate technical concepts to non-technical audiences in a way that is simple and easy to comprehend
• Ability to travel as needed to work with local or abroad teams and to facilitate and deliver training
• Technically Savvy in the advanced analytic field and ability to use a variety of learning/training concepts
• Ideally a previous experience in creating and delivering training both classroom & virtual, as well as training resources such as user guides & videos is an advantage

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.
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.