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Junior Data Science Technical Writer

Home office stipend
Please let Dataiku know you found this offer on WeLoveProduct as a way to support us 🫶

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. 

We are looking for a passionate Data Science Technical Writer to help us develop Dataiku’s product learning resources.

As a member of the product learning team, you’ll work towards providing an exceptional learning experience to Dataiku users, customers, and partners. As such, your primary goal will be to empower Dataiku users with the knowledge needed to successfully achieve their business and career goals using our platform, leading anyone into becoming autonomous, confident, & proficient with Dataiku.

In this role, you will collaborate with many cross-functional teams from Research & Development to Customer departments to craft online documentation, learning content, and in-product learning resources. You will also manage multiple priorities in a fast-paced environment.

If you have a passion for data science and technologies, excellent written communication skills, and experience developing user-focused documentation and training content, this will be a fantastic opportunity for you to grow your data science and AI technologies skillset!

In this role, you will:

  • Collaborate with engineering and product teams to decide on how to enable end users, improve their learning experience and design new learning content.
  • Write user-focused documentation, including, but not limited to: how-to guides, concepts, troubleshooting, project wikis, embedded help in the Dataiku UI, and sample code.
  • Develop Dataiku Academy technical curriculum, including, but not limited to: courses, lessons, quick starts, tutorials, storyboards for video production, quiz questions & solutions, and certificate examinations.
  • Design and develop projects that show how to use Dataiku.
  • Collaborate with subject matter experts (data scientists, engineers, domain experts, etc.) and customer-facing teams to understand requirements, scope work, and develop documentation content.
  • Translate complex technical concepts and components into accurate, impactful, & easy-to-understand visual aids in collaboration with e-learning graphic designers.
  • Edit, clarify, and proofread documents written by others; mentor non-writers on how to contribute to content creation and improve their writing skills.
  • Learn and constantly refresh on e-learning techniques for providing clear, understandable, and engaging content.

Minimum Qualifications

  • A bachelor’s degree in technical writing, data science, engineering, statistics, computer science, or a related field; in lieu of a degree, a strong interest in data analysis, data science, and/or machine learning.
  • 1+ years of experience in technical writing, product documentation, or curriculum development.
  • Strong communication skills (verbal and written).
  • Technical knowledge and strong interest in data analysis, data science, and data engineering.
  • Demonstrated project management skills to collaborate effectively with different stakeholders to identify learning needs, research technical topics, and produce learning content.
  • Excellent problem solving and analytical skills with an aptitude for learning new technologies.

Additional Qualifications

  • 1+ years of professional work experience in an analytics company.
  • A bachelor’s degree, Master's degree, or Ph.D. in data science, engineering, statistics, computer science, or a related field.
  • Experience with content production tools such as Learning Management Systems (Skilljar), version control (Git), markup language (reStructuredText), and documentation generator (Sphinx).
  • Experience with programming languages such as Python or R.
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. If you need assistance or an accommodation, please contact us at: [email protected]
Questions & answers for this position
  • What is the type of contract for this position?
    The contract for this position is a Full-time contract
  • Is telecommuting possible for this position?
    No, telecommuting is not possible for this position
About Dataiku
Dataiku is an artificial intelligence and machine learning company which was founded in 2013.
Analytics, Artificial Intelligence
251-1K employees

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