Business Data Scientist, Natural Language Specialist

Key Skills

Algorithms, BERT, C Programming, C++, ChatGPT, Data Analysis, Data cleaning / Data cleansing, Data Visualization, Deep Learning, Information Retrieval, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Search Relevancy, SQL, Statistical modeling, T5X framework, TensorFlow

Job Description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 3 years of experience in Natural Language Processing, including deep learning frameworks (e.g., TensorFlow).
• Experience with one or more general purpose programming languages, such as Java, C/C++ or Python.
• Experience in cleaning, analyzing, and visualizing both structured and unstructured data.

Preferred qualifications:

• Advanced degree in a quantitative discipline (i.e., Statistics, Computer Science, Economics, or equivalent).
• 3 years of relevant work experience with analytic software tools and languages (e.g., SQL, R, Python).
• 4 years of experience with one or more deep learning frameworks.
• 4 years of experience in advanced NLP techniques such as embedding-based clustering and search/retrieval.
• Experience articulating business questions, designing analysis frameworks based on business questions, using mathematical techniques to arrive at an answer using available data, and translating analysis results into business recommendations.

About the job

As a behavioral economist, you will be a business leader and strategic thinker, shaping the future of Google’s many consumer and business products. Using your background in behavioral science, analytics, and experimental research methods, you will inform decisions about how we develop products and the overall user experience. You’ll work closely with product and engineering teams—as well as policy and marketing teams embedded within each product area—to design research projects and to make changes to product and marketing that are informed by behavioral economics. This is a highly collaborative role and you’ll develop ongoing relationships with teams to help build sustainable, long-term impact.

Additional Information:

The US base salary range for this full-time position is $146,000-$220,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work with complex datasets and develop solutions (methodology and algorithms) for real world, problems.
• Research and implement state-of-the-art Natural Language Processing models (e.g., BERT, T5, GPT3).
• Solve non-routine, inter-disciplinary analysis problems by applying analytical methods as needed. Contribute to a wide variety of research projects using statistical analysis and machine learning models.
• Work with engineering collaborators to translate business questions into analytical solutions (e.g. pipelines/dashboards for analytics and/or machine learning models/algorithms for serving).
• Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.