**Business Title:** Manager, Data Scientist Intelligent Forecasting


**Requisition Number:** 88279 - 59


**Function:** Advisory


**Area of Interest:** Digital Lighthouse


**State:** NJ


**City:** Short Hills


**Description:**

You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.


KPMG is currently seeking a Manager to join our KPMG Lighthouse (https://home.kpmg.com/us/en/home/insights/2015/01/data-and-analytics.html?location=us) - Center of Excellence for Advanced Analytics.


Responsibilities:


+ Translate financial and operational business analytics problems into technical approaches that yield actionable recommendations in diverse domains (revenue forecasting, risk management, product development, marketing research, supply chain, public policy, and others)

+ Work in multi-disciplinary and cross-functional teams to decode business requirements into machine learning based goals and modeling approaches; rapidly iterate model structure and design through parameter tuning, data transformation, and accuracy measurement selection to refine and validate approach

+ Operate in a fast-paced and dynamic environment with both virtual and face-to-face interactions; communicating results and insights, and educating others through insightful visualizations, reports, and presentations adapted for both technical and non-technical audiences

+ Deliver on client engagement milestones by following established data science workflows to mitigate risks in data cleaning, modeling, validation, and deployment; manage tasks, document assumptions, and work with others to quickly clear issues and meet deadlines

+ Build automated ingestion processes to prepare, extract, and transform a variety of structured and unstructured data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, operational data, and economic data; perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships

+ Draw on your knowledge of statistical and mathematical differences between machine learning algorithms, industry and company level operations analysis, and financial forecasting methodologies to select, tune, and customize the appropriate time series or other regression/ML modeling approach for various client engagements and internal projects

+ Act as a subject matter expert within the firm; staying on top of new research in financial forecasting/time series analysis and ahead of general machine learning and deep learning advancements, evaluating and implementing new open source code


Qualifications:


+ Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds

+ Master's degree from an accredited college/university in Statistics, Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred

+ Experience with time series analysis and forecasting (ARIMA, VAR, ETS, BSTS, Holt Winter's, and others)

+ Extensive experience with extracting, transforming, and analyzing large amounts of financial and operational data to derive meaningful trends, map connections, and identify drivers of key P&L line items like revenue and cost

+ Strong background in linear algebra and statistics

+ Ability to apply machine learning techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms and security; ability to explain technical concepts to non-technical business audiences through excellent verbal/written communication

+ Solid experience performing data science tasks, such as data discovery, cleaning, model selection, validation, parameter tuning, and deployment; extensive experience coding machine learning solutions using object-oriented programming in a software development process, and ability to restructure, refactor, and optimize code for efficiency

+ Strong proficiency with Python, extensive experience with other programming languages (SAS, R, Java, Spark, Hadoop, and SQL), proficiency with the Jupyter suite and/or Visual Basic Studio and experience with common data visualization tools (Tableau, PowerBI, and others)

+ Ability to utilize a diverse array of technologies and tools to deliver insights, such as emerging Cloud Capabilities on Azure, GCP and/or AWS; experience with command-line scripting, data structures, and algorithms; experience working in a Linux environment

+ Ability to travel when necessary; 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 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, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link ( https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.


KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).


**GL:** 4


**GF:** 15304