Minimum qualifications :
All candidates should make sure to read the following job description and information carefully before applying.
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work 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.
Preferred qualifications :
8 years of work 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
About the job
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users.
At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world.
From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems.
This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.
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 tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- 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). Independently format, re-structure, and / or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
J-18808-Ljbffr
Senior Data Scientist, Research
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and en...
Senior Deep Learning Research Scientist
Senior Deep Learning Research Scientist at Deepgram (United States). Senior Deep Learning Research Scientist. Deepgram is looking for a Senior Deep Learning Research Scientist to tackle some of the most exciting and difficult problems at the forefront of ASR and NLU technologies. That’s where Deepgr...
Senior Data Scientist - Analytics
We are hiring a senior data scientist, Motion's first data hire, who can conduct deep-dive research and inform key data infrastructure decisions to help Motion scale the next 2 orders of magnitudes. Full Time] Senior Data Scientist - Analytics at Motion (United States). Senior Data Scientist - Analy...
Senior Research Scientist II, Purification Development - Pre-Pivotal Biologics
Similar Jobs (5) Senior Research Scientist II, Analytical Development and Operations locations United States - California - Foster City time type Full time posted on Posted 12 Days Ago Senior Research Scientist I, Biologics Pre-Pivotal Formulation and Process Development locations United States - Ca...
Senior Data Scientist, Risk
The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers. Our Data Scientists are responsible for the entire model development lifecycle from...
Senior Data Scientist, Analytics
As a Senior Data Scientist - Analytics, you will play a pivotal role in driving data-informed decisions across our organization. Design, develop, and maintain complex data models, queries, and automated ETL pipelines using tools like Python, Databricks, Snowflake, Pandas, and DBT to extract actionab...
Senior Product Data Scientist
Proven expertise in SQL, data wrangling, ETL processes, data pipelines, and data warehousing. As a Product Data Scientist on the Nav Prime Team, you will design and implement analysis across the product lifecycle and across Nav's technology stack. Ability to speak in terms of insights and actions by...
Senior Associate Scientist, Oncology Research
Senior Associate Scientist, Oncology ResearchJob Description. Present research findings and recommendations to senior staff and contribute to preparation of research reports, manuscripts, INDs, and patent filings. Gilead Sciences (Foster City, CA) is seeking a talented and highly motivated scientist...
Senior Research Scientist
They are seeking to build a new team in San Francisco consisting of a number of 'Senior Research Scientists'. BioTech Research start-ups in the San Francisco region. Understanding of Python Data-Analysis tools. ...
Senior Data Scientist - Brand
Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. As a Data Scientist on the Brand team, you will develop the intelligence behind our efforts...