ML Pipelines for AI -Consultant - KPMG SA - Washington, D.C. - Wizbii

ML Pipelines for AI -Consultant

  • Par KPMG SA
  • Washington, D.C. (United States of America)
  • Développement informatique
2018-09-22T00:43:27+0000

Description de l'offre

Business Title:

ML Pipelines for AI -Consultant

Requisition Number:

36409 - 19

Function:

Business Support Services

Area of Interest:

State:

DC

City:

Washington

Description:

Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.

KPMG is currently seeking a Sr. Associate to join ourKPMG Lighthouse - Center of Excellence for Advanced Analytics.

Responsibilities:

·  Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models
·  Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations
·  Assess, capture, and translate issues and requirements into structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
·  Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)
·  Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members
·  Deliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; manage assumptions, and risks, and work with others to clear issues

Qualifications:

·  Minimum of three years of work experience involving: modeling (regression, machine learning, feature selection, dimension reduction, validation); data (extracting, preparing, munging, validating); building analytics pipelines; analytics and data science landscape; minimum of one year of training specific to artificial intelligence, and two plus years of experience leading work streams with two plus data scientists, engineers, and other data & analytics professionals
·  Bachelor's or Master's degree from an accredited college/university in an applied quantitative discipline, such as Data Science, Analytics, Computer Science, Engineering, or Mathematics
·  Strong knowledge in design and building of machine learning pipelines, including data extraction, feature engineering from structured and unstructured data; the entire software development lifecycle; and software development methodologies (frameworks, tools and technical architecture)
·  Ability to apply artificial intelligence techniques to achieve concrete business goals; work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security
·  Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL); data visualization tools (Tableau, QlikView, and others)
·  Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

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 or military status, genetic information, genetic disposition and or carrier status, domestic violence status, personal appearance, family responsibility, matriculation or political affiliation, status with regard to public assistance, 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:

5

GF:

15304

Voici d'autres offres qui pourraient te plaire

Reçois les offres qui te correspondent par email !
Des milliers de jobs sont disponibles pour toi sur Wizbii :)

À propos de KPMG SA

KPMG est un groupe d’audit, de conseil et d’expertise comptable dont Michael J.Andrew est le président depuis 2011. Le groupe est présent dans 156 pays à l’aide d’un réseau de cabinet indépendant, membre de KMPG International. KPMG est né en 1986 de la fusion entre deux grands groupes, Peat Marwick International (PMI) et Klynveld Main Goerdeler (KMG). En 2012, le groupe a réalisé un chiffre d’affaires en 2012 de 23,03 milliards de dollars et employait près de 152 000 personnes à travers le monde, il fait aujourd’hui parti des Big Four de l’audit.

KPMG France est présent dans 217 villes françaises et compte aujourd’hui près de 70 000 clients dans différents secteurs et dont font partie de grands groupes tels que EADS, Total ou encore EDF.

1840 jobs disponibles chez KPMG SA

Trouve ton futur job sur Wizbii,
la 1ère plateforme professionnelle pour l’emploi des jeunes
Ton job dans la poche
Télécharger