Associate Data Scientist - Remote

Acxiom Remote
data data scientist remote data data science science modeling data products data scientist machine learning algorithms acxiom analytical
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.


- Build 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
- Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation
- Effectively communicate data science concepts to marketing and business audiences


- Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs.

- Critical thinking about data, and how to translate it into actionable insights, generating consistently accurate and useful analysis and models
- Ability to work on multiple projects across several engagements while meeting deadlines, demonstrating high quality work and attention to details at the same time
- Exposure to applying statistics and data science tools on large datasets including 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
- Knowledge of python, R, spark, Julia or similar languages and experience using Scikit learn, MLlib or similar packages


- 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
- Experience leveraging Deep Learning, Neural Network based modeling frameworks (Tensorflow, Keras)
- Experience using Cloud technologies e.g. AWS Sagemaker, Google Cloud Platform, etc.)
- Experience leveraging data science and modeling methods in AdTech/MarTech space is a plus
- Experience building ETL transformation, SQL, modeling & mlops pipelines a plus

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.

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