Data Scientist - (Remote)
Company: Acxiom LLC
Location: Lansing
Posted on: August 5, 2022
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Job Description:
At Acxiom, our vision is to transform data into value for
everyone. Our data products and analytical services enable
marketers to recognize, better understand, and then deliver highly
applicable messages to consumers across any available channel. Our
solutions enable true people-based marketing with identity
resolution and rich descriptive and predictive audience
segmentation. We are seeking an experienced Data Scientist with a
versatile skill set to undertake data science supporting the
development of next-generation data product.As part of the Data
Science and Analytics Team, the Data Scientist will lead the charge
in developing machine learning and statistical models to support
and expand the Audience Propensities product suite for our domestic
and global businesses. The Data Scientist's responsibilities will
include 1) partnering with product, engineering and business
stakeholders to define digital product scope and requirements, 2)
build models, analyze/visualize results and integrate the solution
into our suite of data products, 3) build automated solutions for
QA/monitoring of all models in product suite. The Data Scientist
will be a champion of the latest Machine Learning and Artificial
Intelligence technologies and will not only be an advocate but will
also lead by example in influencing adoption.This role can be
home-based almost anywhere in the U.S.**What you will do:**+ Build
expert knowledge of the various data sources brought together for
audience propensities solutions - survey/panel data, 3rd-party data
(demographics, psychographics, lifestyle segments), media content
activity (TV, Digital, Mobile, Automotive), and product purchase or
transaction data+ Apply state-of-the-art algorithms relying on
knowledge of statistical modeling, machine learning, and
optimization to develop new audience propensities & analytical data
products or improve the performance/quality of existing audience
propensities and data products+ Build, evaluate and optimize models
which incorporate machine learning and artificial intelligence+ Be
a thought leader and champion for adoption of new technologies and
enable migration to new cloud based ML stack+ Collaborate with
internal and external stakeholders to understand business goals and
product economics, and identify relevant KPIs to assess product
in-market performance+ Collaborate with other data scientists and
team leads to define project requirements including data sources,
algorithms, and implementation+ Partner with Product and
Engineering teams to transition development projects to production
systems+ Effectively communicate complex data science concepts to
marketing and business audiences**What you will need:**+ 2+ years
of leveraging data science and modeling methods. Experience in
AdTech/MarTech space is a plus.+ 1+ years of experience working
with digital marketing datasets will be a plus+ Experience with
applying statistics and data science tools on large datasets.
Extensive experience with data preparation (normalization, scaling,
etc.) for modeling+ Working knowledge of supervised vs.
unsupervised learning algorithms, including linear/logistic
regression, neural networks/deep learning techniques, SVM, decision
trees (bagging, random forests, boosting), XG Boost, clustering,
regression, and dimensionality reduction techniques+ Strong skills
on model training approaches, hyperparameter tuning, and model
evaluation approaches+ 2+ years of experience building, testing and
deploying production ready models in python, R, spark, Julia or
similar languages and experience using Scikit learn, MLlib or
similar packages+ 2+ years of experience building ETL
transformation, SQL, modeling & mlops pipelines+ Ability to
leverage critical data-driven thinking and translating data into
actionable insight to generate consistently accurate and useful
analysis and models+ Attention to detail and time management
delivering high quality work for multiple projects across several
engagements while meeting deadlines+ Bachelor's Degree in a
quantitative field (Data Science, Statistics, Math) or related
degree programs and 2+ years of relevant work experience OR
Master's Degree in a quantitative field and 1+ years of relevant
work experience**What will set you apart:**+ Experience with E2E ML
platform such as AWS Sagemaker, Google AI/ML platform+ Experience
using tools such as Airflow, KubeFlow for model deployment will be
a plus+ Exposure to CI/CD/MLOps - container-based model deployment
frameworks using (Kubernetes, Docker, ECS/EKS or similar) will be a
plus+ At least 1 year of experience leveraging Deep Learning,
Neural Network based modeling frameworks (Tensorflow, Keras)+ At
least 1 year of experience deploying data/analytical products at
scale using Cloud technologies e.g. AWS Sagemaker, Google Cloud
Platform, etc.)**\#GD17****Primary Location City/State:**Homebased
- Conway, Arkansas**Additional Locations (if applicable):**Acxiom
is an affirmative action and equal opportunity employer
(AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting,
hiring, training, promotion or other employment of associates or
the awarding of subcontracts because of a person's race, color,
sex, age, religion, national origin, protected veteran, military
status, physical or mental disability, sexual orientation, gender
identity or expression, genetics or other protected status.Who is
Acxiom?We are leaders in helping brands achieve the number one
mantra for every business - know your customer. For fifty years,
we've helped marketers deal with a fast-changing future of growing
channels, data and technology. By understanding the customer,
marketers can communicate with relevance everywhere and drive
better customer experiences that build a better brand and, in turn,
better business.We're one of the marketing industry's most
experienced, respected and forward-thinking leaders. For nearly
fifty years, we've helped the world's best marketers understand
their customers so that they can reach people with relevance rather
than randomness. Our products and solutions form the data
foundation that make it possible for marketers to drive better
customer experiences and meaningful interactions at scale across
every channel.Our job opportunities will give you the opportunity
to showcase your talents, grow your skills, and expose you to
cutting-edge technologies, whether you're an engineer, developer,
products guru, systems and security expert, sales and consulting
executive, or an intern looking to gain real experience with a
company that will make you stand out.At Acxiom, our values begin
with our associates, who are the single most important driver of
our success. We're looking to hire people who share our core
values: collaboration, excellence, innovation, a focus on outcomes,
and being empowered to make and own decisions that benefit our
clients and our company. Our values represent our brand promise -
to our clients and to our associates - and define our company
culture.If you are interested in applying for employment with
Acxiom and need special assistance or an accommodation to apply for
a posted position, contact our recruiting department at
1-877-314-2049.Attention California Applicants: Please see our
California Consumer Privacy Act notice here
(http://www.interpublic.com/ccpa-privacy-notice/) .Attention
Colorado, California, Connecticut, Maryland, Nevada, Ohio and
Washington Applicants: This position is not located in the
aforementioned states but applications for remote work may be
considered. For information about this role under state or local
equal pay or pay transparency laws, please contact
recruit@acxiom.com**We highly recommend you create an account to
monitor your resume submissions. Click on the Sign In link above to
create an account or sign up at the end of your
application.**Interested in Acxiom? Learn about our Equal
Opportunities, job postings, and more:About Us
(http://www.acxiom.com/about-acxiom/)Follow Us on TwitterFind Us on
Facebook (http://www.facebook.com/AcxiomRecruiting)Careers
PageLinkedIn (http://www.linkedin.com/company/acxiom)
Keywords: Acxiom LLC, Lansing , Data Scientist - (Remote), Other , Lansing, Michigan
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