Data Science Engineer - Remote

Key Skills

Python Programming, C++, SQL, Scala Programming, R Programming, Ansible, SPARK Programming, SSIS, Informatica

Job Description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients. It’s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you’re as passionate about your future as we are, join our team.

KPMG is currently seeking a Data Science Engineer to join our Data Strategy & Operations organization. This is a remote work opportunity.

Responsibilities:

• Working with KPMG’s Data Scientists, this engineer will create information architecture supporting hypothesis testing, model training and model promotion activities
• Build free-flowing data integration processes, supporting both discovery and production enabled advanced analytics assets
• Organize effective alerting and monitoring capabilities of existing models, ensuring their long-term accuracy and efficacy
• Advise on the ongoing evolution of Data Bricks as the backbone of KPMG’s Data Science capabilities
• Orchestrate APIs integrating advanced analytics, to downstream systems and receive feedback about the actions taken by users

Qualifications:

• Minimum five years of advanced experience and knowledge of data integration solutions such as Informatica, Data Stage, SSIS, Data Factory or similar integration tools
• Bachelor's degree from an accredited college/university
• Mastery of several languages including but not limited to ANSI SQL, Python, R, Spark, Scala, C++, and others
• Strong understanding of the data science software development lifecycle, including experience and skills enabling data scientists to perform their work
• Natural curiosity in emerging technology trends with a focus to maintaining data science capabilities in alignment to business trends
• Demonstrated organizational skills with cross-functional teams and data domains including frequent alignment with information architecture

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.