Manager, Tax Technology - Data Analytics Machine Learning

Job description

Business Title:

Manager, Tax Technology - Data Analytics Machine Learning

Requisition Number:

70144

Function:

Tax Services

Area of Interest:

Data Analytics

State:

GA

City:

Atlanta

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 Manager to join ourTax Transformation practice.

Responsibilities:

·  Work on a wide variety of solutions based on Client's and Tax engagement team needs using industry and subject matter experts throughout KPMG
·  Lead the design and development of tools and solutions working with data scientists, big data teams, data integration teams and visualization experts to deliver analysis that fits the needs. Recognizes patterns and complexity in problems
·  Lead the preparation and presentation of materials including proposals, findings and reports
·  Provide guidance, supervision and training to staff members
·  Perform hands on tasks, including machine learning, big data processing and architecture, data transformation and analysis and communicate findings via visualization tools
·  Work effectively with various technology groups, clients and tax domain experts

Qualifications:

·  A minimum of 5 years of hands on experience with Big Data (Hadoop/NoSQL, Spark) and statistical analysis and machine learning (Python(numpy, Scypi), Matlab, R, SAS, etc.)
·  Master's degree from an accredited college/university or foreign equivalent in engineering, computer science, information systems, management information systems or related fields
·  Strong experience in leading and delivering big data (Hadoop/Spark), machine learning (R, Python, algorithms, etc.), analytical and visualization projects that include design, development, verification, and validation of descriptive, applied, predictive, and prescriptive analytics for industrial applications.
·  A minimum of 3 years of experience of mentoring and managing big data, machine learning, analytical teams
·  Experience in Finance or Tax domain a big plus

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, personal appearance, family responsibility, matriculation or political affiliation, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.

GL:

4

GF:

15305