Data Science Lead
已发布 3 几个月前
详情
补偿
未披露
工业
未披露
时间承诺
全职
公司规模
未披露
技能
Google Cloud Platform
Data Science
Data Engineering
职位描述
A U.S.-based company that is enabling early-stage AI businesses to effectively connect and network with global markets, is looking for a Data Science Lead. The selected candidate will be responsible for analyzing a vast number of data to look for patterns and trends. The company collaborates with brilliant entrepreneurs to help them create globally scalable, market-leading businesses. This is a great opportunity for candidates who are eager to challenge themselves while working in a fast-paced, dynamic environment.
Job Responsibilities:
- Set up the initial data lake on Google Cloud in collaboration with the other team members, deploy it as planned, and fine-tune the data scraping, modeling, and data set management
- Take charge of the collection, processing, and analysis of design data
- Create models to solve business issues
- Find useful data sources and automate the processes for gathering it
- Preprocess data, both organized and unstructured
- Regularly share the results with business teams and take action on the feedback received
- Manage the database design and develop maintenance methods and put them into practice
- Work with database software to find ways to store, organize, and manage data
- Promote excellence and constant quality improvement
- Use ensemble modeling to combine models
- Collaborate with managers and high-level contributors
- Utilize data visualization techniques to present information
Job Requirements:
- Bachelor’s/Master’s/BSc/BA degree in Engineering, Data Science, Computer Science (or equivalent experience)
- At least 5+ years of relevant experience as a Data Science Lead
- Strong analytical skills and proficient understanding of programming languages like Python or R
- In-depth knowledge of statistics, Machine Learning, and SQL
- Extensive knowledge of the GCP platform, the Data Lake, and data analytics/processing pipelines
- Prior experience working with both structured and unstructured data, managing that data, and using modern data transformation techniques
- Some experience working for fintech companies serving the U.S. market is desirable
- Nice to have knowledge of using company and industry data in AI models for investors in publicly traded equities markets
- Excellent risk assessment abilities and the ability to comprehend the possible dangers associated with investing in a startup, as well as the potential rewards
- Ability to think critically about the startup's business strategy, value proposition, and growth potential
- Excellent ability to solve problems and presentation skills
- Strong analytical mind and business acumen
- Excellent English communication skills, both spoken and written
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