STOITECH
Staff Data Scientist
STOITECH, Seattle, Washington, us, 98127
A passionate data scientist with a desire to make a real-world impact is sought by a growing FinTech startup in San Francisco and Seattle!
This individual will leverage their expertise to build innovative solutions that empower people to manage their finances.
The Role:
This role offers the opportunity to join a dynamic Data Science team poised for significant growth.
The successful candidate will collaborate closely with talented Data Scientists, Product Managers, and Engineers, translating data insights into impactful products.
Their expertise in data science, deep learning, and neural networks will be harnessed to unlock the power of the company's rich datasets.
They will develop and implement models that tackle critical business challenges, including fraud detection, risk management, and customer growth.
Ultimately, this role plays a pivotal role in shaping the financial well-being of millions of people.
Qualifications:
A Master's degree or PhD in a quantitative field (Statistics, Computer Science, Physics, Mathematics, Engineering) is required.
The ideal candidate possesses 5+ years of hands-on experience in data science, deep learning, and neural networks.
Proven experience with data engineering tasks (ETL processes) is a must.
Proficiency in Python, R, or Scala is necessary.
A keen mind for problem-solving and a relentless desire to learn are essential.
Excellent communication and teamwork skills are crucial for success.
A passion for building models and fostering a collaborative data science environment is desired.
Why Join This Company?
Make a tangible difference in the financial future of millions.
Thrive in a fast-paced, high-growth startup environment.
Accelerate professional growth alongside experienced data scientists and machine learning engineers.
Contribute to building best-in-class data models from the ground up.
Work in a company prioritizing robust data infrastructure (available in San Francisco and Seattle).
Ready to embark on a mission-driven career? Apply today!
#J-18808-Ljbffr
This individual will leverage their expertise to build innovative solutions that empower people to manage their finances.
The Role:
This role offers the opportunity to join a dynamic Data Science team poised for significant growth.
The successful candidate will collaborate closely with talented Data Scientists, Product Managers, and Engineers, translating data insights into impactful products.
Their expertise in data science, deep learning, and neural networks will be harnessed to unlock the power of the company's rich datasets.
They will develop and implement models that tackle critical business challenges, including fraud detection, risk management, and customer growth.
Ultimately, this role plays a pivotal role in shaping the financial well-being of millions of people.
Qualifications:
A Master's degree or PhD in a quantitative field (Statistics, Computer Science, Physics, Mathematics, Engineering) is required.
The ideal candidate possesses 5+ years of hands-on experience in data science, deep learning, and neural networks.
Proven experience with data engineering tasks (ETL processes) is a must.
Proficiency in Python, R, or Scala is necessary.
A keen mind for problem-solving and a relentless desire to learn are essential.
Excellent communication and teamwork skills are crucial for success.
A passion for building models and fostering a collaborative data science environment is desired.
Why Join This Company?
Make a tangible difference in the financial future of millions.
Thrive in a fast-paced, high-growth startup environment.
Accelerate professional growth alongside experienced data scientists and machine learning engineers.
Contribute to building best-in-class data models from the ground up.
Work in a company prioritizing robust data infrastructure (available in San Francisco and Seattle).
Ready to embark on a mission-driven career? Apply today!
#J-18808-Ljbffr