Job ID:
J36993
Specialized Area:
Machine learning
Job Title:
Software Engineer, Machine Learning
Location:
New York,NY
Duration:
10 Months
Domain Exposure:
Retail, Government, Education, IT/Software
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)
You'll join our New York office as part of our Risk practice, focused on machine learning.
This global practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk recognition, measurement, and control. Facing extreme volatility in financial and commodity markets, more and more of our clients are realizing that effective, risk-informed strategy can offer a major source of competitive advantage. We take a truly global, cross-sector, cross-functional view of risk issues, combining McKinsey’s deep industry insight and strategic skills with a structured risk-management approach, proven methodologies focused on true transformation, analytical tools, and practical implementation.
When you join McKinsey as an Associate, you are joining a firm that will challenge you and invest in your professional development. In this role you will work on the best teams to help the best organizations in the world – in private, public, and social sectors – solve their most difficult problems. You will also work with many experts, from data scientists and researchers to software and app designers.
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