What you'll do...

Position: Senior Data Scientist

Job Location: 221 River Street, Hoboken, NJ 07030

Duties: Research, design, and implement data models and cutting-edge algorithms on high-dimensional, fast-moving, unstructured and structured data. Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics. Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, campaign measurement, and performance optimization. Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance. Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day. Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.

Skills required: Experience coding in a programming language to manipulate data. Experience designing, implementing, and evaluating machine learning and statistical models including logistic regression, SVM, Random Forest, XGBoost, and Neural Networks. Experience building compelling data visualizations and interactive dashboards using Tableau, R, and Python. Experience running large-scale statistical A/B testing under the guidance of experiment design theory and making statistical inferences. Experience processing complicated and large-scale datasets using distributed computing platform including Hadoop, Hive, Spark, and GCP. Experience with research, design, and implementation of data models and cutting-edge deep learning models using TensorFlow, Pytorch, MLFlow, and Scikit-learn. Experience conducting deep statistical analysis using observational data under the guidance of causal inference theory. Experience building advanced feature extraction algorithms and pipelines using Jenkins and Airflow. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.

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