Data Scientist - Singapore

Job description

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 900 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're looking for a Data Scientist to join Dataiku in our office in Singapore.

Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it! As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, its installation and configuration, to training users and co-developing data science applications, from design to deployment.

You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.

What You'll Do:

    • Co-develop data science projects with our customers.
    • Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc...)
    • Crunch, analyse and investigate various kinds of data, across industries and use cases.
    • Explore new machine learning algorithms, and apply them to real-world business applications.
    • Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp)
    • Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc...)
    • Communicate results to non-technical colleagues and clients.
    • Provide data science expertise to customers and internally to Dataiku’s sales, marketing, and R&D teams.

You Might Be A Good Fit If You Have:

    • 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.
    • 3+ years of experience with R or Python.
    • 3+ years of experience with predictive modelling.
    • Familiarity with data visualisation in Python, R or JavaScript.
    • Understanding of relational data structures and SQL.

Bonus Points For Any Of These:

    • Experience with PySpark, SparkR or Scala.
    • Experience developing WebApps.
    • Experience building APIs.
    • Japanese speaker is a plus.
    • Experience with cloud infrastructures, especially Kubernetes.
    • Passion for teaching or public speaking
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.

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