Job ID:
J36993
Specialized Area:
Data Science
Job Title:
Data Science
Location:
San Francisco, CA, USA,CA
Duration:
7 Months
Domain Exposure:
Healthcare, Insurance, Education
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills: Python, Machine Learning Algorithms, Recommendation Systems, Data Analysis, R, Machine Learning Models, Matrix-Level Calculations, Machine Learning Productization, Cloud-based Computing, Data Pipelines If you are a Data Scientist with ML algorithm development experience, you'll want to read this... We are the fastest growing marketplace in the multi-billion dollar beauty and wellness industry. Our proprietary platform allows independent hair stylists, manicurists, and masseuses to quickly and efficiently manage online appointment bookings. Since our foundation in 2011, we have powered over 10 million consumers to book 53 million appointments throughout the country. We are looking to bring on a Data Scientist/Machine Learning Engineer to join our rapidly growing team in San Francisco, CA.
DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract