At Acxiom, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and 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 Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Acxiom’s business.As part of the Data Sciences & Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data, come up with modeling requirements, applying creativity to test hypotheses, prepare & automate data preparation processes, build models, analyze and visualize results and integrate the solution into innovative data products.What you will do:Research and develop an understanding of Acxiom products, tools, and processesAssist with the validation and delivery of products or improvementsPrepare analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasetsPerform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models prior to delivery to clientsMonitor model performance and adjust models as directed by team leads and senior data scientistsPerform analysis and maintenance on existing models & data products as well as the recalibration or re-development of data productsAssist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentationPerform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profiles reports or profile dataCollaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementationOffer ideas for product and/or process improvements such as automation related to focus area of workUtilize data and partner with data scientists to develop build audience propensity models or data science algorithms used in creation of information products and analytical solutions for client and partner data applications.Extract, load, and transform data as preparation for modeling. Build and maintain data mart solutions to support scored model outputsWhat you will need:Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language2 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions2 years experience with distributed computing - Hadoop, Spark, Pig, Hive. Experience with SAS a plus.1-2 years of experience in Linux, shell scripting and/or similar scripting languages for automationAbility to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and modelsBachelor’s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experienceAbility to work independently when given detailed specification and instructionAt least 1 year experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)At least 1 year of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySparkStandout colleague, flexible, and creativeAttention to detail and time management delivering high quality work while meeting deadlinesExperience working with large datasetsExperience with Tableau, Microsoft Excel, and Power PointWhat will set you apart:Knowledge of Deep Learning, Neural Network based on modeling frameworks a plusFamiliarity with cloud environments (e.g. AWS, Google Cloud Platform, Azure etc.) a plusWe believe in building an awesome workplace where associates feel engaged and want to come to work every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance, even when our associates are at work.As a part of our team, you will join a fast-moving, dynamic, “get stuff done” culture we empower our people to do their jobs. You will always be guided to do what’s right, legally and morally for our customers. At Acxiom, we believe in exceptionalism- we intend to be the absolute best in everything we do.Additional Locations (if applicable):