Data Scientist

WHO WE ARE:
We are changing the way the world makes decisions! Talend is a global leader in data integration and data integrity. Our software is used to truly transform business and companies with data. We believe our company has a certain Je ne sais quoi that makes us special and gives us opportunities with purpose. We pride ourselves in our values of Passion, Agility, Team Spirit and Integrity.
We help companies take their data from chaos to clarity by delivering complete, trusted, and timely data to the business.
With over 1,400 employees, we support more than 4,750 enterprise customers globally who have chosen Talend to put their data to work. We are consistently recognized by Forrester and Gartner as a leader in the Data Integration Market and our plan for the future is even more exciting.

What You'll Do
You’ll work with a team of data engineers and application engineers to build features that help our users derive useful insights from their data sets.As a data scientist you’ll be responsible for the machine learning models powering these features. You’ll work with product managers and users to refine the requirements for the models, other data scientists to develop and test the models, and software engineers to train and run the models at scale in our production environment.Our data science environment is based on Databricks and Kubernetes in AWS, but we expect this to evolve, and you’ll be part of the team that determines what tools and technologies to use.In the next year we expect to:·       Release significant enhancements to our automated data quality monitoring functionality.·       Develop data fingerprinting models to inform users about duplicated and related data.·       Help users get more value from their data faster with data modeling and analysis recommendations.

What You’ll Need
To be eligible for this opening, you should have:·       Hands on experience gathering, analyzing, cleaning, and combining data to produce machine learning models·       Familiarity with common statistical and machine learning techniques for recommendation, classification, anomaly detection, clustering, and forecasting·       At least one year of experience building and maintaining machine learning models in a high-scale production environment·       Experience with production model monitoring·       Excellent communication and collaboration skills

AND NOW, A LITTLE ABOUT US:
Talend has received some pretty impressive accolades along the way:
- CEO named a 2020 Top Diverse Leader by the National Diversity Council- 5th consecutive year named a Leader for Data Integration Tools in the Gartner Magic Quadrant 2020- 3rd consecutive year named as a Leader for Data Quality Solutions in Gartner Magic Quadrant 2020- Recognized as a Challenger for Enterprise Integration Platform as a Service (iPaaS) in Gartner Magic Quadrant 2020- "2018 Best  Public Cloud Computing Companies To Work For" by Glassdoor- Named Leader in The Forrester Wave™: Enterprise Data Fabric- Ranked in the DBTA “100 Companies that Matter Most in Data”- Listed in the CRN Big Data 100 Companies We are passionate about helping companies become more data driven; and, if we can be honest, we are all geeks at heart who pride ourselves on the vibrant company culture that we have built. 

As a global employer, Talend believes our success depends on diversity, inclusion and mutual respect among our team members. We want to look like our customers, and we recruit, develop and retain the most hardworking people from a diverse candidate pool. We are committed to making all employment decisions on the basis of business need, merit, capability and equality of opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.