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发帖数: 169 | 1 互联网公司招聘大数据工程师 - 工作地点杭州和湾区
互联网公司新组建的大数据团队招聘数据和人工智能方向的岗位。
公司网址：www.PingPongX.com
公司性质：互联网支付，金融科技，电商服务，大数据
公司情况：2015年创立，C轮 venture backed by Fidelity等多家顶级的风险投资机构
，目前200人的团队，公司员工分布在杭州，深圳，旧金山，卢森堡，香港和东京
岗位名称：数据分析师，数据工程师，数据科学家各若干人
工作地点：杭州和旧金山，最好是杭州
联系方式：站内投条并简单介绍个人情况，或者联系email [email protected]
公司简介：
An innovative payment service provider for cross-border eCommerce sellers.
Our mission is to empower our customers to sell anywhere in the world. We
are committed to bring best-of-class services to our customers, and help
them further grow business. We are aspired to make impacts by staying nimble
. Talents who are curious by nature, fearless, result-driven and willing to
hold themselves to the highest ethical standards are welcome to join our
team. We believe that communications are key in breaking down national and
business barriers. In short, we are looking for real global citizens to surf
the next big waves of eCommerce. We are a rapidly-growing, venture-backed
fintech startup with international footprints. Visit our cunchbase page
https://www.crunchbase.com/organization/pingpong to know more about us.
Data Analyst:
Job description
Business analysts leverage data and tools to identify and communicate key
metrics, insights, and information to provide quantitative support to market
understanding and a strategic perspective to our partners throughout the
organization. As a data-loving member of the team, you serve as an analytics
expert for your partners, using numbers to help them make better decisions.
Responsibilities
• Conduct in-depth investigations leveraging large and complex data
sets using advanced statistical methodologies and tools
• Gather insights through experiments, ecosystem analysis, etc. to
drive deeper understanding of vulnerabilities of our systems
• Work with cross-functional business teams to understand their
analytical needs and to help them effectively use the data and analytical
tools that the team has developed.
• Strategically advise our proactive investigators and influence
Policy and Product changes/decisions based on the data-driven insights and
expertise developed
• Use analytical skill sets in a business organization to drive
meaningful business impact by looking at problems through an operational
lens
• Perform detailed analysis to define and evaluate requirements and
turn ambiguous data/reporting requirements into projects.
• Communicate findings, designs and timelines to a diverse audience.
• Work with cross-functional business teams to understand their
analytical needs and to help them effectively use the data and analytical
tools that the team has developed.
Minimum Qualification
• Bachelor’s degree in Computer Science, MIS, or related field or
equivalent practical experience.
• Data analysis skills
• Ability to assess, analyze and resolve issues, and distill that
complexity into simple communication
• Communication skills and experience presenting insights
• Highly motivated and hard-working with ability to think under
pressure, both individually and in team environment
Preferred Qualification
• Experience working with one or more visualization tools.
• Experience managing complicated project plans and working with
diverse set of senior stakeholders on requirements, roles and
responsibilities, project timelines.
• Experience designing and executing structured analyses, deriving
business insights, and evaluating the impact of business decisions (ex. R,
SAS).
• Understanding of fundamental computing concepts including data
structures and algorithms (including trees, graphs, file formats,
algorithmic complexity).
• Familiarity with one or more programming languages (e.g. Python,
Java, C++, Ruby, etc.).
• Excellent written/verbal communication skills, including the
ability to communicate complex findings in a structured and clear manner to
technical and non-technical audiences.
Data Engineer:
Job description
As a ground-floor member of the data services team within business systems
for the operations team, you will gather, assess, and manage data about
every part of Pingpong’s support operations and transform it into beautiful
insights, analysis, and reporting. You are deeply comfortable with data,
and love to wade into the complex details of data formatting, query
massaging, and bulletproofing pipelines.
Responsibilities
• Inform, influence, support, and execute our product decisions and
product launches
• Manage data warehouse plans for a product or a group of products.
• Working in Hadoop and Hive primarily, sometimes MySQL, Oracle,
and Vertica
• Interface with engineers, product managers and product analysts
to understand data needs.
• Partner with Product and Engineering teams to solve problems and
identify trends and opportunities.
• Build data expertise and own data quality for allocated areas of
ownership.
• Design, build and launch new data extraction, transformation and
loading processes in production.
• Support existing processes running in production.
• Define and manage SLA for all data sets in allocated areas of
ownership.
• Work with data infrastructure to triage infra issues and drive to
resolution.
• Work with non-technical business users to understand their
analytical needs, document and prioritize requirements, and to help them
effectively use the data and analytical tools that the team has developed.
• Design, develop, and support data warehouses, dashboards, data
pipelines, and reporting tools for operational and business impact data;
Design and enforce access control for all the data.
• Work with business stakeholders and engineer teams to validate
data, identify gaps, and contribute in changes in business processes and
data pipelines to fix data gaps.
• Project manage and drive analytical projects end-to-end.
Minimum Qualification
• Bachelor’s degree with an emphasis on quantitative or technical
work (Computer Science, Statistics, Mathematics) or equivalent practical
experience.
• 4+ years’ experience in the data warehouse space.
• 4+ years’ experience in custom ETL design, implementation and
maintenance.
• 4+ years’ experience working with either a Map Reduce or an MPP
system.
• 4+ years’ experience with schema design and dimensional data
modeling.
• 4+ years’ experience in SQL and relational databases including
queries, database definition and schema design.
• Ability to analyze data to identify deliverables, gaps and
inconsistencies.
• Communication skills including the ability to identify and
communicate data driven insights.
• Ability in managing and communicating data warehouse plans to
internal clients.
• Experience with one or more programming languages (Python, Java,
C++, Ruby, etc.). Experience with fundamental computing concepts including
data structures and algorithms (including trees, graphs, file formats,
algorithmic complexity).
Preferred Qualification
• 4+ years’ experience using Python or Java
• 4+ years’ experience in web crawler technology.
• Experience with distributed computing (Hive/Hadoop)
• Proficiency in a language for statistical computing (R, SAS,
Stata)
• Experience in one or more visualization tools such as Tableau.
Experience gathering reporting and analytics requirements from stakeholders.
Experience designing and executing structured analyses, deriving business
insights, and evaluating the impact of business decisions; experience
communicating findings to a diverse audience
• Experience with Unix or GNU/Linux systems including shell
scripting.
• Ability to prioritize multiple conflicting priorities while
driving towards pragmatic decisions/actions
• Strong oral and written communication skills, including the
ability to communicate complex findings in a structured and clear manner to
a non-technical audience.
Data Scientist:
Job description
We’re looking for Data Scientists to work on our core and business products
with a passion for Internet technology to help drive informed business
decisions for Pingpong. As an Engineering Support Analytics Data Scientist,
you will work on a variety of exciting projects in a fast growing
organization with a lot of opportunities to tackle complex problems that
will require you to come up with creative solutions and models. You will be
working on large data sets and model data to unlock actionable insights and
help stakeholders formulate and answer various business questions. You will
collaborate closely with stakeholders from technical solutions engineering,
product programs, vendor operations, support operations and support
experience teams.
Responsibilities
• Apply your expertise in quantitative analysis, data mining, and
the presentation of data to see beyond the numbers and understand how our
users interact with both our consumer and business products
• Partner with Product and Engineering teams to solve problems and
identify trends and opportunities
• Inform, influence, support, and execute our product decisions and
product launches
• The Data Scientist Analytics role has work across the following
four areas:
• Product Operations
o Forecasting and setting product team goals
o Designing and evaluating experiments
o Monitoring key product metrics, understanding root causes of changes in
metrics
o Building and analyzing dashboards and reports
o Building key data sets to empower operational and exploratory analysis
o Evaluating and defining metrics
• Exploratory Analysis
o Proposing what to build in the next roadmap
o Understanding ecosystems, user behaviors, and long-term trends
o Identifying new levers to help move key metrics
o Building models of user behaviors for analysis or to power production
systems
• Product Leadership
o Influencing product teams through presentation of data-based
recommendations
o Communicating state of business, experiment results, etc. to product
teams
o Spreading best practices to analytics and product teams
• Data Infrastructure
o Create, design and maintain reusable datasets with appropriate
architecture to deal with high level of data input complexity.
o Provide analytical decision making support for key projects.
Proactively research new ways of modeling data to unlock actionable insights
or improve processes.
o Employ predictive analytics and/or machine learning to serve the
business for the team and the wider organization.
Minimum Qualification
• 5+ years of experience doing quantitative analysis.
• BA/BS in Computer Science, Math, Physics, Engineering, Statistics
or other technical field. Advanced degrees.
• Development experience in any scripting language (PHP, Python,
Perl, etc.)
• Ability to communicate the results of analyses.
• Understanding of statistics (e.g., hypothesis testing,
regressions).
• Understanding of data modeling and optimization.
• Understanding of fundamental computing concepts including data
structures and algorithms (including trees, graphs, file formats,
algorithmic complexity).
• Experience manipulating data sets through statistical software (
ex. R, SAS) or other methods.
• 3 years of experience as an analyst or in an analytical role.
Preferred Qualification
• MS/MA/PhD degree with a quantitative focus (Computer Science,
Mathematics, Engineering, Statistics).
• Experience with advanced analytical modeling and statistical
forecasting techniques.
• Ability to communicate complex findings in a structured and clear
manner to a non-technical audience.
• Excellent written and verbal communication skills. |
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