Data Scientist
vor 7 Monaten
**About Workato**:
Workato is the only integration and automation platform that is as simple as it is powerful — and because it's built to power the largest enterprises, it is quite powerful.
Simultaneously, it's a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.
We're proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.
**Why join us?**:
Ultimately, Workato believes in fostering a **flexible, trust-oriented culture that empowers everyone to take full ownership of their roles**. We are driven by **innovation **and looking for** team players **who want to actively build our company.
But, we also believe in **balancing productivity with self-care**. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
Also, feel free to check out why:
- Business Insider named us an "enterprise startup to bet your career on"
- Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
- Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
- Quartz ranked us the #1 best company for remote workers
**Responsibilities**:
We are looking for an exceptional **Data Scientist** to join our growing team. In this role, you will be responsible for developing and implementing data-driven solutions to a variety of business problems. You will work closely with other engineers and product managers to gather requirements, design experiments, and analyze data. You will also be responsible for communicating your findings to stakeholders in a clear and concise manner.
You will also be responsible to:
- Develop and implement data-driven solutions to business problems
- Work with other engineers and product managers to gather requirements, design experiments, and analyze data
- Communicate your findings to stakeholders in a clear and concise manner
- Stay up-to-date on the latest trends in data science and machine learning
**Requirements**:
- Bachelor's degree in computer science, statistics, or a related field
- 3+ years of experience in data science
- Strong programming skills in Python
- Experience with machine learning algorithms and techniques
- Classic DS, NLP, Transformers
- Hosted LLM would be a plus
- 'Experience with large-scale data processing and analysis
- Excellent communication and presentation skills
- Ability to work independently and as part of a team
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