Senior Data Scientist, Intelligent Automation and Recommendation

Job description

Senior Data Scientist, Intelligent Automation and Recommendation

_corporate_fare_ Google _place_ Warsaw, Poland

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

**Minimum qualifications:**

+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
+ 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
+ Experience with statistical data analysis, statistical modelling and experimental design.

**Preferred qualifications:**

+ 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
+ 4 years of experience as a data scientist, and experience applying advanced analytics to planning and infrastructure problems.
+ Experience with Large Scale Computing and Predictive Modeling in a business context.
+ Experience with Mathematical or Combinatorial Optimization.
+ Experience designing and building machine learning models.
+ Excellent problem-solving and project management skills.

**About the job**

You will co-lead the transition of the resource management of hyperscale containerized platforms from ad-hoc heuristics to optimization, reinforcement learning and beyond.

Working with product designers and tech leads, you will provide quantitative perspective and expertise in ML methods and statistical tools both to optimize the products and to evaluate their impact.

You will have an opportunity to impact the key infrastructure layer for large-scale AI deployments spanning tens of thousands of machines and products, including VertexAI and external customers.
The AI and Infrastructure team is redefining what’s possible.

We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

**Responsibilities**

+ Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.

Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
+ Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).

Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
+ Design and evaluate models to mathematically express and solve problems with limited precedent.

Use statistical approaches to quantify uncertainty in data and in results.
+ Use mathematical optimization/operational research methods to improve products' efficiency and customer experience.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes.

Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Required Skill Profession

Other General