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Senior Data Scientist - Audience Propensities (Remote)

at Acxiom LLC in Little Rock, Arkansas, United States

Job Description

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 digital data product.

As part of the Data Science and Analytics Team, the Senior 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 Senior 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 Senior 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 located 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

+ Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation

+ Work with Product and Engineering teams to transition development projects to production systems

+ Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences

+ Provide mentorship and guidance to junior data scientists where necessary

What you will need:

Required Skills:

+ 2+ years of experience leveraging data science and modeling methods. Experience in AdTech/MarTech space a plus

+ At least 1+ years of experience working with survey, demographic, TV, digital marketing datasets will be a plus

+ Experience 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, 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

+ 3+ years of experience building, testing and deploying production-ready models in python or similar language

+ Strong experience in Python (scikit learn) or Spark (MLLib) for machine learning

+ 2+ years of experience in building and deploying models at scale using Spark/Pyspark systems in a distributed computing environment

+ At least 2+ years of experience building ETL transformation, modeling & mlops pipelines

+ 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

+ Balance 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

+ Bachelor’s Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 7+ years of relevant work experience OR Master’s Degree in a quantitative field and 5+ years of relevant work experience

What will set you apart:

+ Exposure to E2E ML platform such as AWS Sagemaker platform

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

+ Experience using Hadoop stack, including Hive and Impala.

+ At least 1 year of experience leveraging Deep Learning and Neural Network modeling frameworks (e.g. Tensorflow, Keras)

+ At least 1 year of experience deploying data/analytical products at scale using Cloud technologies e.g. AWS Sagemaker)

\#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.

Who is Acxiom?

We are leaders in helping brands achieve the number one mantra for every business – know your customer. For fifty years, we’ve helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business.

We’re one of the marketing industry’s most experienced, respected and forward-thinking leaders. For nearly fifty years, we’ve helped the world’s best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel.

Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you’re an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out.

At Acxiom, our values begin with our associates, who are the single most important driver of our success. We’re looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise – to our clients and to our associates – and define our company culture.

If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at 1-877-314-2049.

Attention California Applicants: Please see our California Consumer Privacy Act notice here (http://www.interpublic.com/ccpa-privacy-notice/) .

Attention Colorado, California, Connecticut, Maryland, Nevada, Ohio and Washi

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Job Posting: JC191180069

Posted On: Aug 29, 2021

Updated On: Oct 16, 2021