精选DS岗位丨Lyft、Pinterest、Mars公司持续热招！

公众号新闻

2024-06-28 02:06

为大家献上今天的精选岗位！

👇👇👇

【Lyft】

职位：Data Scientist, Algorithms, Fulfilment

行业分类：Vehicle for hire

公司规模：4,453 (Dec 2021)

工作地点：New York, NY

职位要求：

M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
2+ years professional experience
Passion for solving unstructured and non-standard mathematical problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Proficiency with Python, or another interpreted programming language like R or Matlab
Willingness to collaborate and communicate with others to solve a problem

职位申请链接（请直接复制至浏览器打开）

https://app.careerpuck.com/job-board/lyft/job/7510217002

【Pinterest】

职位：Data Science Manager, Shopper

行业分类：Image sharing and social media service

公司规模：3,987 (2022)

工作地点：San Francisco / Remote

职位要求：

MS or PhD in a quantitative field or equivalent experience.
Experience in managing teams of data scientists, fostering a culture of innovation, collaboration, and continuous improvement.
Hands on experience as a data scientist, algorithmic engineer, or machine learning engineer in a technology company.
Demonstrated skills in selecting the right statistical tools given a data analysis problem.
Effective written and verbal communication skills.
Experience with hypothesis driven product development.
Experience being a thought partner to improve decision quality and able to influence with expertise.
Market experience in retail or e-commerce, experience in building consumer tech products with a heavy emphasis on user experience, and experience working with personalization and recommendations teams to improve ML & AI systems.

职位申请链接（请直接复制至浏览器打开）

https://www.pinterestcareers.com/jobs/5656015/data-science-manager-shopper/?gh_jid=5656015

【Mars】

职位：Data Engineer

行业分类：Manufacturing

公司规模：10K+ employees

工作地点：Newark, New Jersey, United StatesSlough, United Kingdom

职位要求：

Must have - Degree level in data engineering related subject
Nice to have – Post-graduate qualifications in computer science, data engineering or related
Nice to have – professional qualifications in advanced data design, big data
Technical expertise and experience in database and data engineering capabilities.
Rich heritage in designing and building databases, data warehouses, analytics, and BI platforms, including experience with Big Data.
Including use of cloud platforms including Azure, technologies across traditional and contemporary software, programming languages:
Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts. Concept: Azure AI Services, ML concepts, Unity Catalog, Purview. Programming: SQL, Java, C#, C++, Python, R and visualization tools (PowerBI and React)
Track record in building and developing successful data teams including mentoring junior staff.
Experience in building a combined and effective onshore-offshore team with 3rd party partners.
Experience in delivering across multi-location teams for global and local deliverables.
Able to partner and manage interaction with internal Core services support in EA security reviews and centralized platform services requests.
Able to partner and engage with the Data Science community.
Able to partner effectively with the business stakeholders, contribute in overall success and drive value for relevant stakeholders