数据科学家
Data Scientist
在PortPro,我们正在用我们领先的基于网络的操作系统革新拖车行业。作为一家快速发展的公司,我们正在打造最全面的技术平台,以优化供应链并提高效率。加入我们的团队,你将有机会参与公司作为全球组织的成长和扩展,同时对世界产生重大影响。供应链是全球经济的重要组成部分,通过改进它们,我们不仅为自己解决问题,也为整个社会带来好处。
PortPro正在寻找一位经验丰富的数据科学家加入我们的团队。理想的候选人应具备扎实的分析技能,有机器学习算法的经验,并能够从复杂的数据集中提取见解。此外,你应该能够编写代码,最好是使用Python,并熟悉Amazon AWS技术栈。该职位需要与我们的产品团队以及海外团队紧密合作,提供数据驱动的见解,从而影响我们SaaS产品的方向。需要优秀的协作和沟通能力,以及在不同时间区域有效工作的能力。
关键职责
- 利用大型且复杂的数据集进行探索、发现,识别可以影响战略业务决策的模式、趋势和见解。
- 开发、验证和部署预测模型和机器学习算法来解决业务问题。
- 编写代码以自动化数据处理和聚合任务。
- 与跨职能团队合作,了解业务需求并提供数据驱动的解决方案。
- 以清晰易懂的方式向非技术人员展示发现结果。
- 与岸上和海外团队密切合作,按时按规范交付数据驱动的项目。
- 持续学习新技术,紧跟数据科学领域的最新行业趋势。
资格要求
- 4年以上数据科学家或相关职位的工作经验。
- 熟悉机器学习技术与算法,如k-NN、朴素贝叶斯、SVM、决策森林等。
- 具备数据挖掘、统计建模和数据可视化工具的经验。
- 精通Python、R、SQL和Node.js等编程语言。
- 有使用Amazon AWS技术栈的经验。
查看英文原文
At PortPro, we are revolutionizing the drayage industry with our premier web-based operating system. As a fast-growing company, we are building out the most comprehensive technology platform to optimize supply chains and make them more efficient. By joining our team at the ground level, you will have the opportunity to be a part of our company's growth and expansion as a global organization, while also making a significant impact on the world. Supply chains are a crucial part of the global economy, and by working to improve them, we are not only solving problems for our own benefit, but for the benefit of society as a whole.
PortPro is seeking an experienced Data Scientist to join our team. The ideal candidate will have a robust analytical skill set, experience with machine learning algorithms, and the ability to derive insights from complex data sets. Additionally, you should be comfortable writing code, preferably with , and have familiarity with the Amazon AWS technology stack. This role involves working closely with our product teams, as well as offshore teams, to provide data-driven insights that will influence the direction of our SaaS products. Excellent collaboration and communication skills are required, as well as the ability to operate effectively within various time zones.
Key Responsibilities
- Leverage large and complex datasets to explore, discover, and identify patterns, trends, and insights that can influence strategic business decisions.
- Develop, validate, and deploy predictive models and machine learning algorithms to solve business problems.
- Write code to automate data processing and aggregation tasks.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Present findings in a clear and easily understandable way to non-technical stakeholders.
- Work closely with both onshore and offshore teams to deliver data-driven projects on time and to specification.
- Continuously learn new technologies and stay up-to-date with the latest industry trends in data science.
Qualifications
- 4+ years of experience as a Data Scientist or in a related role.
- Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience in data mining, statistical modeling, and data visualization tools.
- Proficiency in programming languages such as Python, R, SQL, and Node.js.
- Experience working with Amazon AWS technology stack.
- Experience with data science toolkits, such as NumPy, Pandas, Matplotlib.
- Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Our team is like family. Working at PortPro, we want you to feel like you are part of the bigger picture, not just working for yourself. We work in a no-drama, no-ego environment We work together and collaboratively to achieve the same goal. We are a team of smart, kind, hard working people. You’ll be surrounded by those that inspire you to bring your best self to work each day.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Originally posted on Himalayas