Data Scientist - (Remote)
Company: Acxiom
Location: Lincoln
Posted on: August 7, 2022
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 audiencesWHAT 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 experienceWHAT 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.)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.
Keywords: Acxiom, Lincoln , Data Scientist - (Remote), Other , Lincoln, Nebraska
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