Senior Scientist, Decision Sciences

Job Description

Employer:                    Epsilon Data Management LLC  

Job Title:                     Senior Scientist, Decision Sciences

Job Requisition:          6630.5700.9

Job Location:              6021 Connection Drive, Irving, Texas 75039 and various, unanticipated sites throughout the United States.

Job Type:                    Full Time

Duties: Conduct research into fundamental computer and information science as theorists, designers, or inventors. Define, design and develop algorithms and software in projects that involve research and software development in Machine Learning. Train and support operational team to operate and troubleshoot the existing platform. Conduct quantitative analytics for use in a variety of areas related to advertising technology including applications such as user modeling and profiling, user targeting, user recommendation, product recommendation, and media and content analysis. Build out data sets and models using Machine Learning techniques for testing and production. Conduct data analysis, including feature engineering, to gain a deep understanding of raw source data and derived data from both consumer and product level data. Conduct original research in the fields of Machine Learning and recommender systems. Perform software architecture design and development in a highly scalable and distributed computing environment for productionization at scale of machine learning algorithms and models for use in advertising technology. Supervise a summer intern on research projects critical for expanding the capability of the platform; Mentor junior colleagues to help them understand and use methods and techniques of the existing platform. Lead projects including integration of technologies by collaborating with teams, organizational stakeholders, and contributors to bring research to production and enhance the capability of the existing platform.

Requirements: Employer will accept a Ph.D in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific discipline, or a related field, or a related field followed by one year of experience in the job offered or one of experience in a related occupation. Experience must include one year of experience in each of the following:

1. Recommendation system algorithms: Matrix Factorization, Factorization Machines, Stochastic Gradient Descent Online Learning, X also Y Recommendation, and Collaborative Filtering.
2. Unsupervised machine learning algorithms: K-means Clustering.
3. Dimensionality reduction algorithms: Principal Component Analysis.
4. Feature engineering techniques: Missing Data Imputation, Mean Imputation, Median Imputation, Logarithmic Transformation, Min-Max Scaling, Standardization Scaling, Removing outliers, Date and Time Engineering.
5. Model performance evaluation and measures techniques: Root Mean Square Error, Confusion Matrix, Precision, Recall, F1-score, NR-score, True Positive, False Positive, True Negative, and False Negative
6. Data analysis methods: A/B testing, Time Series Analysis, Quantitative Analysis, Data Sampling, and Regression Analysis
7. Database programming languages and tools: SQL, PostgreSQL, HIVE, Spark, and DbVisualizer
8. Programming languages: Scala, Python, and Spark
9. Data Structures and Algorithms
10. Software testing: Unit Testing, Integration Testing, and Production/Release Testing
11. Distributed computing: Apache Hadoop, Apache Spark, and Apache Hive
12. Version control tools: Git and Bamboo
13. Tools and software: VIM, Linux Operating System, IntelliJ IDEA, and FileZilla

Must be available to work on projects at various, unanticipated sites throughout the United States.

Contact: In order to be considered for this position, you must send resume to: NARecruitment@epsilonconversant.com. Must reference job 6630.5700.9.

Additional Information

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. Check out a few of these resources to learn more about what makes Epsilon so EPIC:

• Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
• DE&I: https://www.epsilon.com/us/about-us/diversity-equity-inclusion
• CSR: https://www.epsilon.com/us/about-us/corporate-social-responsibility
• Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog

Great People Deserve Great Benefits

We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career.

Epsilon is an Equal Opportunity Employer.  Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories.

Epsilon will provide accommodations to applicants needing accommodations to complete the application process.