Dataiku

Senior Solution Data Scientist, Life Sciences

April 16, 2022

Anywhere

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1000 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.  Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users.Through DSS, we aim to empower people through data,  democratize data science, and to make our everyday AI ambition a reality.  To accelerate our everyday AI mission, Dataiku’s Business Solutions team is in charge of creating a full range of solutions aiming at easing delivery of key use-cases by our customers.   Dataiku is looking for a Senior Solution Data Scientist specialized in Life Sciences (incl. Pharmaceutical and biotech companies, healthcare payers and providers, and more) to join Dataiku’s Business Solutions team. In this role, the Senior Solution Data Scientist will focus on creating and supporting go-to-market solutions dedicated to Life Science players.  Through interactions and detailed work with Dataiku partner community and customers, the Senior Solution Data Scientist will play a key role in identifying industry specific needs, scope use-cases, and build “ready-to-use” solutions. This mission will be run in tight partnership with the Solutions Director for Life Science, the rest of the Business Solutions team, and all other Dataiku teams, including Data Fab, Sales, Customer, Partnerships, Product and R&D.  What you’ll do: Work tightly with the Solution Director for Life Sciences on building a strong Solutions roadmap dedicated to Life Sciences. This roadmap will be fuelled by a variety of signals, including market evolutions, customer experiences, partner initiatives, specialized data and ISV players, .…As part of this role, the Senior Solution Data Scientist will have to develop strong relationships with a range of trusted customers and partners, ensuring constant support on roadmap construction and delivery. Own the building and delivery of a range of resulting projects, from ideation to full delivery. The Senior Solution Data Scientist owns the delivery of pre-built use-cases (flow, visualization, packaging), creation of replicable and composable assets (plugins, integrations, …), documentation, testing, … The Senior Solution Data Scientists will also own the building and delivery of future evolution roadmap for each solution. Tightly work with other Data Scientists owning projects related to the Life Science space. Provide steering, expertise, technical oversight and more. Act as a go-to-person on Life Sciences specific subjects for the Dataiku Data Science community and Sales Engineering teams. Be a key stakeholder in the initial roll-out of resulting Solutions in the market: customer demos, customer implementations, partner training, marketing, enablement of all other Dataiku team members (ie. Data Fab, Sales Engineering, …). Be an active member of Dataiku’s Solutions Engineering group: support building of our overall engineering roadmap, contribute to capitalization and technical research for the team, own key transversal projects, and more.  Who you are: 5+ year total experience minimum, with deep hands-on experience and appetite for Life Sciences analytics and data science projects, with strong understanding of integration in business processes (commercial activities, patient testing, patient care, drug research and testing, health care systems….)Proven track record of scoping and managing data-science projects in an autonomous manner.Ability to work in a global, distributed team. Strong communication skills, with capacity to adapt level of technicity and speech to a wide range of audience. Appetite for client facing engagement and proven capacity to deliver top quality documentation and marketing content (blog posts, step-by-step flows, …)Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public.Strong appetite for data science use-case packaging and willing to develop an engineering mindset: keen to turn outcomes into easy to understand visualizations, explore integrations with other tools, build reusable building blocks, mindful of production constraints,... 2+ years of experience with R or Python2+ years of hands on experience with data ETL, cleaning, and machine learning algorithms Knowledge of NLP, deep learning, reinforcement learning, knowledge graph, and causal inference methodologiesExperience with life sciences data model concepts and standards including OMOP, FHIR, and FAIR will be a plusExperience developing WebApps (Javascript,Dash or RShiny..)Curious, eager to learn and explore, extremely structured and autonomous. Based in Paris or London, other Dataiku offices or remote 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: reasonable-accommodations@dataiku.com

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