Sr. Associate, Data Scientist
Company: KPMG
Location: Denver
Posted on: September 2, 2024
|
|
|
Job Description:
We are The Lighthouse within KPMG's Consulting practice. We tap
into the power of emerging technologies and scientific
breakthroughs to create solutions and products that address the
largest and most complex issues faced by global companies. By
blending technology with our industry expertise, we're able to
harness the potential of Cloud, AI, ML, IoT, 5G, and quantum
computing to design and implement real-world solutions for a
variety of business problems. Work with confidence knowing your
ideas are heard and backed by one of the world's top professional
services firms. Spark your curiosity and ignite your career at The
Lighthouse.KPMG is currently
seeking a Sr. Associate to join our - Center of Excellence for
Advanced
Analytics.Responsibilities:
Develop code to prepare, extract, and enrich a variety
of structured and unstructured data sources, working with the
business to
understand available resources and constraints around data.
Perform
exploratory data analysis, generate and test working hypotheses,
and
uncover interesting trends and relationships.
Build and implement machine learning algorithms to
analyze and model structured or unstructured data. Understand
benefits of
different approaches to decide on tools, features, and methodology
for the
business problem. Leverage detailed knowledge of advanced
statistical and
mathematical methods from statistics, machine learning, data
mining,
econometrics, and operations research.
Communicate technical details of solution, including
mathematical formulations, alternatives, and impact on modeling
approach
to business stakeholders across industries (technology,
financial
services, emerging tech, government agencies - federal, state and
local,
and utilities).
Create production quality data pipelines and ML
pipelines that can be deployed at scale. Make use of in-house
platforms in
solution development, and recommend and develop new
capabilities.
Translate advanced business analytics problems into
technical approaches that yield actionable recommendations, in
diverse domains
(risk management, product development, marketing research, supply
chain,
and public policy). Identify trends, patterns, and insights for
data-driven decision making.
Work in multi-disciplinary and cross-functional teams
to rapidly iterate models and results to refine and validate
approach; 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 while communicating results
and
educating others through insightful visualizations, reports,
and
presentations.
Qualifications:
Minimum of two years of experience leading work streams
with at least two data scientists, engineers, and other data &
analytics professionals, including innovation, quality
management,
utilizing 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 Computer Science, Statistics, Data Science, Engineering, or
related
fields. PhD from an accredited college/university is preferred.
Excellent problem-solving skills, verbal/written
communication, and ability to explain technically complex concepts
to
business stakeholders.
Deep technical understanding of data preparation
approaches and machine learning algorithms. Solid experience
performing
data science from data discovery, cleaning, model selection,
validation,
to deployment.
Experience coding artificial intelligence methods using
object-oriented programming in a software development process, and
ability
to restructure, refactor, and optimize code for efficiency.
Ability to utilize a diverse array of technologies and
tools as needed, to deliver insights, such as fluency in Python or
R;
Experience with SQL and cloud technology preferred; Experience
with
command-line scripting, data structures, and algorithms; Ability to
work
in Linux and/or cloud environments; Ability to write production
level code.
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 complies with all local/state regulations regarding displaying
salary ranges. If required, the ranges displayed below or via the
URL below are specifically for those potential hires who will work
in the location(s) listed. Any offered salary is determined based
on relevant factors such as applicant's skills, job
responsibilities, prior relevant experience, certain degrees and
certifications and market considerations. In addition, the firm is
proud to offer a comprehensive, competitive benefits package, with
options designed to help you make the best decisions for yourself,
your family, and your lifestyle. Available benefits are based on
eligibility. Our Total Rewards package includes a variety of
medical and dental plans, vision coverage, disability and life
insurance, 401(k) plans, and a robust suite of personal well-being
benefits to support your mental health. Depending on job
classification, standard work hours, and years of service, KPMG
provides Personal Time Off per fiscal year. Additionally, each year
the firm publishes a calendar of holidays to be observed during the
year and provides two firmwide breaks each year where employees
will not be required to use Personal Time Off; one is at year end
and the other is around the July 4th holiday. Additional details
about our benefits can be found towards the bottom of our KPMG US
Careers site at "".
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M150A_4_24
16456766KPMG 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).
KPMG recruits on a rolling basis. Candidates are considered as they
apply, until the opportunity is filled. Candidates are encouraged
to apply expeditiously to any role(s) for which they are qualified
that is also of interest to them.
Keywords: KPMG, Denver , Sr. Associate, Data Scientist, Other , Denver, Colorado
|
Click
here to apply!
|
