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. The Audience Solutions division is responsible for enabling 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 products for Acxiom's business. As part of the Analytic Center of Excellence, the Data Scientist will work hands-on with data engineering & pipelining, Machine Learning pipelines and Cloud technologies. The Data Scientist will build scalable data pipeline & machine learning applications and solutions for our domestic and global businesses. The Data Scientist's responsibilities include collaborating with internal and external stakeholders to identify appropriate data engineering solutions, solution requirements to maximize decision science efficacy. The Data Scientist will be a champion of technology enabled repeatable process development leveraging the latest and greatest cloud platform tools for ML/AI technologies. This role can be home-based almost anywhere in the US.

What You Will Do:

• End to end development of data & modeling pipelines leveraging tools like BigQuery, Dataflow(Apache Beam), Cloud Composer(Apache Airflow), Cloud Functions, Pub/Sub(Apache Kafka), Container based systems(Docker, Kubernetes), and Cloud Run .
• Develop and apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products
• Build, evaluate and optimize models which incorporate machine learning and artificial intelligence. Deploy models in real-time environments through cloud based endpoints & APIs.
• Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue
• Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation
• Build expert knowledge of the various data sources brought together for audience segmentation solutions - survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data
• Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
• Provide mentorship and guidance to data scientists where necessary

What You Will Need:

• Bachelor's Degree in a quantitative field (Data Science, Statistics, Math, Quantitative Social Science) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and 3+ years of relevant work experience
• Experience with developing and applying ML/AI, statistics, and data science tools on large datasets
• Knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques
• Experience with model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches
• Extensive experience with data preparation (normalization, scaling, etc.) for modeling
• Experience with Python for data engineering and machine learning a must
• Exposure to Spark/ PySpark systems in a distributed computing environment
• SQL mastery, including techniques for writing efficient code over large datasets
• Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
• Balances desire for quantitative rigor with realities of inconsistent business data
• Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines
• Significant desire to broaden one's data science skillset leveraging the most cutting edge/emerging tools available

#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.

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.