Company Description
Job Description
About This Role:
The Media Delivery team is responsible for operating our cutting-edge technology platform, making real-time media investment decisions to drive client campaign performance and returns on ad spend. The team manages multi-million dollar budgets, ensuring that the right message is delivered to the right consumer at the right time. Additionally, this team helps to keep our platform performing at its best by providing requests and feedback to our Product, Engineering, and Media Inventory Acquisition teams. The Media Delivery Specialist role is our entry-level position that will teach the basics of digital media campaign delivery.
Responsibilities :
- Oversee the targeting and media strategy of assigned advertiser accounts
- Collaborate with AMs to engineer ideal performance solutions for each client
- Deliver all campaigns in full and on time, meeting or exceeding client performance benchmarks
- Maintain margin goals and ensure system is in alignment with billable numbers
- Send daily delivery reports to Account Management team
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- Ensure all client delivery restrictions are abided by
- Communicate specific inventory needs to the Media Acquisition team to develop publisher partnerships and increase unique reach
- Collaborate with Product and Data Modeling teams to develop solutions that will enhance our operational efficiency and improve client performance
- Proactively make recommendations on rate to the AM and consult on media restrictions to provide an understanding to the client on the levers that influence delivery Success Metrics
- Delivery of campaigns against goal
- Profit of campaigns against goal
- Performance against client KPIs
- 1-2 years of online work experience - preferably from an ad network or agency
- Preferred higher-educated (media, marketing or IT) or demonstrated experience in a similar business environment
- Customer service experience
- Knowledge of the internet and its commercial/marketing benefits
- Strong analytical, verbal and written skills
- Well-developed communication and presentation skills
- Effective client management skills with a strong customer focus
- Ability to show problem solving skills
- Advanced computer skills (e.g. PowerPoint, Excel, Word, Outlook, and internet)
- Ability to work with wide range of people at all decision-making levels
- Excellent planning and organization discipline
- Results /goal oriented
Epsilon Machine Learning Engineering group is looking for a Director of Data Science to lead our machine learning productization efforts. The Machine Learning Engineering team is responsible for integrating machine learning capabilities into our Epsilon PeopleCloud suite of marketing SaaS, focusing on Epsilon People Cloud Loyalty, Messaging and Customer product solutions. You will be part of the Machine Learning Engineering leadership team which manages a group comprised of data scientist and software developers that are researching and building automated, repeatable segmentation, predictive modeling and recommendation solutions that directly impact the marketing performance of our clients leveraging the Epsilon PeopleCloud product suite.
You have a strong machine learning and deep learning background and are passionate about transforming data into productionized ml models. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms, Deep Neural Networks, big data, and cloud computing. You must be self-driven, take initiative and want to work in a collaborative, dynamic, busy, and innovative group. You leverage your strong communication skills to represent our ML capabilities within the broader organization and provide mentorship for the team's data scientists. You are adept at taking complex concepts and simplify them so others can more easily understand the ML solutions we provided.
RESPONSIBILITIES
- Leverage your experience in Machine Learning to help set the strategic direction for designing automated ML capabilities in the cloud
- Design, implement, and validate productized analytic pipelines at scale using a variety of tools (AWS Sagemaker, Databricks, EMR, Spark, Python, Mllib, Git, etc.)
- Liaison with other internal groups with Epsilon to facilitate the development and adoption of our ML solutions
- Identify new analytic capabilities and compare/contrast with existing methods
- Develop an understanding of Epsilon's current analytic capabilities, proprietary datasets, and product capabilities
- Mentor data scientists by providing feedback on algorithmic approaches and nurturing their career development
- Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team
- Advanced degree (Master's/PhD) in Computer Science, Statistics, Math, Economics, or other quantitative discipline
- A minimum of 8 years of hands-on experience delivering data science, machine learning, and AI solutions at scale to achieve specific business outcomes
- A minimum of 5 years proven managerial or supervisory experience
- Experience implementing a range of machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation
- Knowledge of DNN models using TensorFlow v1.8 above, Keras, Pytorch, sequence modeling using RNNs/LSTMs is a plus
- Prior project work in NLP is a plus
- Coding proficiency in Python is must, any additional programming languages such as Scala, R, SQL, C, C++ is a plus
- Project work using large scale distributed computing systems like Databricks Spark, EMR
- Experience working with cloud infrastructure services like Amazon Web Services and MS Azure
- Familiarity with code repositories and continuous integration (Git/Jenkins)
- Exposure to scrum development methodology and tools (Jira/Confluence)
- Ability to manage multiple data science projects concurrently
- Excellent communication & interpersonal skills with an ability to communicate ideas, insights, and complicated analysis effectively at all organizational levels, include engineering leadership
- Strong passion for understanding key business problems, bringing together data and algorithms to unearth deep insights into customer experiences
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
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.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance.
Applicants with criminal histories are welcome to apply.
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