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Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million c
ustomers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Come join the NLP team as a Staff Data Scientist.

We are building the Intuit Foundational LLM, as part of a proprietary Generative AI operating system (GenOS) platform.

Responsibilities
Youll apply proven methods and hacking skills in working with divergent data types, data scales, and big data to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
Youll use considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, business analysts, architects, and product managers in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Youll provide guidance and support leadership to business leaders and stakeholders, on how best to harness available data in support of critical business needs and goals
Youll lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization, and action planning
Youll provide business stakeholders with entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research

Were looking for a Senior Data Product Manager to design, build, improve and leverage the data products that feed our multiple platform products, to scale and drive efficiency and growth.

This role will report to the Director of Product Management, Data.

Why is this role so important at Similarweb?

The Data Product Manager bridges between the Platform Product Manager, focusing on the application layer, and the data products built to fuel it.

The Data PMs expertise in data, alongside their business acumen makes them the perfect product professional to identify and translate the business strategy into scalable data products that drive business value.

We are looking for a true data enthusiast, passionate about translating business requirements into data ones, building relationships as well as methodologies and processes, and taking ownership over complex data projects.

You will directly impact and steer the work of a team of engineers, data scientists and data analysts by guiding the collection, development and delivery of the data products they develop.

So, what will you be doing all day?

Your role as part of the Data Product Management team means your daily responsibilities may include:

Work with the Business, Strategy and Product leaders to unlock and understand both vision and direction - to then build a data roadmap that can support and boost it.
Meet with and interview clients and Account Executives, to understand users needs and pains, and design data products that solve these best.
Guide and steer the Data Teams (Data Scientists and Data Engineers) work, projects, priorities and execution - to deliver datasets that drive high impact, and address business, product and client needs and opportunities.
Lead the roadmap of the data supporting the different products and own the collection of needs, prioritization of opportunities and execution of the data deliverables.
Act as the owner and manager of all data acquired, generated and processed by the Data Team, to exhaust and leverage it - by the according products.
Define and solve the most challenging data collection, structuring, cleansing, modeling and serving challenges, to help Data, Product and Business teams make the best decisions on these.
Break down high level business questions into concrete and actionable data analyses, architecture designs and data requirements - working hands on on each.
Analyze and optimize data performance, coverage, diversity and quality processes
Work with different stakeholders across multiple products to enhance data adoption, improve data utilization and address contradicting and complementary needs that would impact how you build the companys data products.
This role requires a mix of product sense,project management, data acumen, technical sense, business logic, analytical skills and personal skills.