Data Science Lead

Industry: Finance

Remote

Company size: 1-10

Full-time/Part-time

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Job description

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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Frequently Asked Questions

What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

How many rounds do I need to clear before selection?

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

How is Turing different from other remote based job providers?

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

Do developers need to pay any fees for Turing's services?

No, the service is absolutely free for software developers who sign up.

What kind of developers does Turing hire?

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

What level English is necessary to get a job?

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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