DATAIKU

Responsibility

• headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019
• the role of a Data Scientist at Dataiku is quite unique
• our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey
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• just as the non-technical skills are important, so too are the technical
• our Data Scientists work on the Dataiku platform every day
• 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
• 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
• now, more than 1,000+ employees work across the globe in our offices and remotely
• key Areas of Responsibility
• this includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment
• scope and co-develop production-level data science projects with our customers across different industries and use cases
• help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
• provide strategic input to the customer and account teams that help make our customers successful
• aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages
• an ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients
• provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
• provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
• develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
• develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality

Requirements

• 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
• experience with Consulting and/or Customer-facing Data Science roles
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• empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• experience with Data Engineering or MLOps
• the ability to clearly explain complex topics to technical as well as non-technical audiences
• experience developing WebApps in Javascript, RShiny, or Dash
• over 2 years of experience with Python and SQL
• experience building APIs
• over 2 years of experience with building ML models and using ML tools
• experience using enterprise data science tools
• familiarity with data visualization in Python, R
• passion for teaching or public speaking
• understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Responsibility

• headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019
• 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 someone who can express passion about the new technologies and possibilities of AI and Advanced Analytics
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• now, more than 1,000+ employees work across the globe in our offices and remotely
• dataiku is looking for an experienced Strategic Account Executive to join our UK&I sales team to focus on the Strategic Banking Sector in the UK
• in addition to strong product-market fit, the territory benefits from extensive marketing and sales exposure over the past months with significant latent demand
• the role consists of engaging prospects and customers on the topic of their Data and Advanced Analytics initiatives and to help them develop a more efficient approach, leveraging Dataiku DSS
• the Enterprise Account Executive is responsible for the entire sales cycle, leveraging various company resources, to reach a successful collaboration with the prospect
• dataiku is a young company with great momentum and at this early stage, the Account Executive is likely to work cross-functionally with Marketing, Product Management and Engineering, and will be a key player in defining Dataiku’s UK strategy

Requirements

• experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
• experience in 'data' – big data, analytics, data science, BI/DW, data integration
• early-stage start-up experience

Responsibility

• collect data on the performance of LLM generated messaging Vs BDR self -scripted messaging
• conduct fieldwork into the use cases with which BDRs are leveraging LLMs to carry out tasks today
• analyse and report on your weekly activities and pipeline generation

Earnings for position software engineer

Responsibility

• make sure we are fully compliant with the new right-to-work rules and implications in the UK
• assisting with other aspects of the Accounts office as and when required, which may include Sales Ledger, Banking, Control Account

Requirements

• maintain payroll information by collecting, calculating and entering data and updating payroll records
• distributing forms and completing P45 and P60
• providing high level of customer service via Payroll Help Desk, e-mails and in person on a variety of queries of varying complexity