Business Data Scientist, AI Analytics
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This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience with data science tech stack (e.g., Python) and database languages (e.g. SQL).
Preferred qualifications:
- PhD degree in Computer Science, Statistics, or other relevant quantitative disciplines, or an equivalent amount of machine learning experience.
- Familiarity with reporting solutions, and visualization/dashboarding tools.
- Proven ability to translate ambiguous business needs into clear technical requirements for impactful data products.
- Ability to take initiative with excellent leadership and communication skills.
- Comfortable with engineering best practices, including developing BRDs/PRDs/Design Docs, code reviews, etc., ensuring analytical accuracy.
About the job
We are a data science team that use AI/ML to enable Google’s people analytics strategy. We build AI solutions that empower people analysts and leaders to make data-driven decisions, and inspire People Analytics to be on the cutting-edge. We achieve this through a culture of continuous learning, sharing, and growth.
This is a unique opportunity at Google to be at the forefront of applying AI/ML to solve complex people-analytics challenges at a global scale. In this role, you'll leverage Google's people data and cutting-edge technology to develop and deploy innovative solutions that directly impact Googlers' lives. You'll also play a crucial role in shaping the future of people analytics by collaborating with cross-functional teams, upskilling colleagues in AI/ML, and fostering a data-driven culture within people operations. This role offers the chance to make a real difference in the lives of Googlers while contributing to the advancement of AI/ML in the HR domain.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Responsibilities
- Design and implement robust data pipelines to collect, process, and transform complex and large data sets from various data sources.
- Develop various types of machine learning models, conducting model evaluation, and collaborating with engineering teams to deploy the models into a production environment.
- Develop and apply Natural Language Processing (NLP) models (such as sentiment analysis, topic modeling, etc.) to extract insights from unstructured text data.
- Collaborate with cross-functional teams within POps and HR Engineering organizations to understand the business problem, define project scope, gather the requirements, and develop ML solutions that address the problem effectively.
- Communicate technical concepts and findings to both technical and non-technical audiences, enabling POps stakeholders to make informed decisions about Googlers.
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If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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