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JobHunting版 - 内推两个位置,Principal Software Engineer和Data Science Analyst
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1 (共1页)
g*****x
发帖数: 3283
1
公司在Redwood City,pre-IPO估值4B左右,这几年发展速度很快。Pay比不上大厂但也
还不错,benefit很好(免费family healthcare+dental+vision,每年20天pto,不论
男女12week产假等等)。可以办h1b,貌似一年后开始办eb2(我没办过细节不清楚)。
有兴趣的话请站内信,注明对哪个位置感兴趣。
Principal Software Engineer的:
You Will:
Design, build and maintain the research data infrastructure and management
system.
Work to understand the needs of teams and scientists to design intuitive,
easy-to-use data pipelines and effective web applications.
Lead, mentor, and build the Software and Data Science team.
in nimbly building applications that are useful and maintainable.
in executing R&D data science and informatics projects.
in industry standard software best practices (testing, reviews,
methodologies).
in making buy vs build decisions.
Engineer batch and streaming data pipelines from disparate sources (cloud,
analytical instruments, user/scientist-generated, APIs, etc.) into a modern
data storage architecture.
Work closely with information technology, product management, and scientific
research teams.
You Have:
BS in Computer Science, electrical engineering, or related field (MS/PhD
preferred), or equivalent experience.
Strong understanding of computer science.
Experience in managing, improving, and growing a software engineering and/or
data science team.
Proven ability to manage multiple ongoing projects while leading a team and
contributing code.
Experience with technical project and product management.
Strong skill in at least one high-level interpreted/dynamic language (We
work primarily in Python, R, and Javascript)
Strong skill in at least one memory-efficient language (ex: Rust, Golang,
Java, Kotlin, C#, Swift, C++, C, Scala, Elixir, etc.).
Extensive experience with fullstack web application and service development
(we primarily use Flask, R Shiny, Streamlit).
Extensive experience with API design and implementation (REST, GraphQL, etc.
).
Extensive experience creating, working with, and maintaining data management
systems (including knowledge of SQL, NoSQL, and data pipelines).
Demonstrated expertise in technical system design and architecture and
design thinking.
10+ years experience in software engineering.
2+ years experience with cloud service architecture and development (AWS,
GCP, Azure, or similar).
Passion for solving monumental problems.
Scientific research background - Food science, bioinformatics,
pharmaceutical, life sciences experience, or similar science-related
background is a big plus.
Machine learning and advanced statistical experience is a plus.
Data Science Analyst的:
You Will:
Collaborate with team members across the research and development area to
collect, analyze, and visualize data of a myriad of different origins.
Query and analyze large data sets to find patterns and actionable insights.
Present findings and statistical findings to a wide breadth of the R+D team.
Compile reports and build data interface dashboards for internal teams and/
or external clients.
Provide statistical expertise and consulting to various groups throughout
the organization.
Build and maintain data analysis dashboards.
Assist teams with their data ingestion and munging for easy intake into a
cloud data pipeline.
Continuously establish and maintain excellent record keeping and
documentation.
You Have:
BS in a STEM field, 1+ years of experience in statistical data analysis.
Demonstrated proficiency in key critical data analysis tools (SQL, excel).
Expertise in R/Python for data analysis.
Experience with common data science toolkits and libraries, such as Pandas,
NumPy, SciPy, Matlab, SAS, JMP, scikit-learn, dplyr, tidyverse is required.
Excellent visualization skills.
Coursework or project experience in building web applications or dashboards
with software like RShiny, Tableau, Streamlit, or Plotly Dash.
Upper division or graduate level coursework and experience in statistical
inference, bayesian statistics, natural language processing, and computer
science.
Experience in cloud data warehouse technologies like Google BigQuery or AWS
Redshift is a plus.
Strong analytical and problem-solving skills, a natural curiosity for
finding unexpected solutions with a customer service mindset.
Self-motivated individual with good organization skills.
Superb technical writing skills and strong written/verbal communication
skills
Experience with food, agriculture, or pharmaceutical data is desirable.
e***a
发帖数: 1661
2
company name?
g*****x
发帖数: 3283
3
Impossible Foods

【在 e***a 的大作中提到】
: company name?
1 (共1页)
进入JobHunting版参与讨论
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