Senior Data Scientist (Remote)


This is a Full-time position in Pearl City, HI posted August 16, 2022.

At Acxiom, our vision is to transform data into value for everyone. Our data products and analytical services enable marketers to better recognize and understand consumers. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Senior Data Scientist with a versatile skill set to undertake data science enabling marketers to deliver impactful messages to consumers across all channels. We are therefore looking for a forward-thinking data story-teller with experience translating business needs into practical analytical and machine-learning applications. The ideal candidate is passionate about data, analytics strategy, and helping clients achieve their data and analytics goals. This role can be home-based almost anywhere in the United States or can be office-based in New York City or Conway, Arkansas.


  • 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 in support of our clients’ marketing endevors

  • 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
  • Work with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation
  • Effectively communicate complex data science concepts to marketing and business audiences


  • 5+ years of leveraging data science and modeling methods. Experience in AdTech/MarTech space is 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
  • 5+ years of experience in building, testing and deploying production ready models in python, R, spark, Julia or similar languages and experience using Scikit learn, MLlib or similar packages
  • 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 a related degree program and 5+ years of relevant work experience OR Master’s Degree in a quantitative field and 3+ years relevant work experience


  • Experience with E2E ML platform such as AWS Sagemaker, Google AI/ML platform

  • Experience with using tools such as Airflow, KubeFlow for model deployment will be a plus

  • CI/CD/MLOps experience – container-based model deployment frameworks using (Kubernetes, Docker, ECS/EKS or similar) will be a plus
  • At least 2+ years of experience working with digital marketing datasets
  • At least 2+ years experience in leveraging Deep Learning, Neural Network based modeling frameworks (Tensorflow, Keras)
  • At least 2+ years 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.

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