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 a Data Scientist with a versatile skill set to undertake data science supporting the development of next-generation digital 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) building models, analyzing/visualizing the results and integrating the solution into our suite of data products, 3) developing new analytical reports to help us better understand our data. 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
Work 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:
5+ years of leveraging data science and modeling methods. Experience in AdTech/MarTech space is a plus.
At least 2+ 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
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
At least 3+ 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 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
WHAT WILL SET YOU APART:
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 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.
Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management, identity, and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day.