Director, Data Science (Remote)
Company: Epsilon
Location: Irving
Posted on: June 25, 2022
Job Description:
Company DescriptionJob DescriptionEpsilon Strategy and Insights,
Data Sciences team is looking for experienced Director of Data
Science. You are an expert, mentor and advocate. You have strong
machine learning and deep learning background and are passionate
about transforming data into ML models. You welcome the challenge
of data science and are proficient in Python, Spark MLLib,
Tensorflow, Keras, ML algorithms and Deep Neural Networks, Big
Data. You must be self-driven, take initiative and want to work in
a dynamic, busy and innovative group.You will lead and work with a
distributed team (onshore and offshore) and work closely with a
broadly talented team of delivery management, data/business
analysts, visual designers, analytics, developers, and QA. You will
work directly with clients to own data science solutions as a
member of Marketing Machine Learning (MML) team and will operate as
part of the services team to extend the model functionality and
customizations.
Responsibilities
- Provide guidance to the team of Senior Data Scientists and
manage Machine learning and Deep Learning based team and projects.
Work with the team who analyze complex data structure, manipulate,
cleanse data and perform statistical analysis
- Design, develop, train and validate machine learning models
using Spark ML, Python, HDFS.
- Design and implement Deep neural network models using
Tensorflow, Keras and Python
- Develop machine learning pipelines with big data design
principles in Airflow or Azure Data Factory
- Own end to end implementations of multiple Marketing machine
learning models such as Churn, CLV, Propensity, Affinity models.
Qualifications
- Experience with large scale distributed databases and computing
systems like Databricks Spark, EMR.
- Proven capability to deliver end-to-end analyses by asking the
right questions, extracting data, and building predictive models to
ensure actionable results.
- 10-15 years of total IT experience with 6+ years of managing
and leading data science teams with demonstrable experience in
algorithms like Logistic Regression, Gradient Boosted Machines
- 5-8 years of expert experience in leading machine learning
teams with Spark and Big Data environment.
- Expertise in predictive analytics/data mining/machine learning
algorithms.
- Strong experience in DNN models using TensorFlow v1.8 above,
Keras, Pytorch
- Experience with sequence modeling using RNNs/LSTMs is
must.
- Strong experience in at least one database technology (i.e.
Spark, Hive, PrestoDb)
- Hands on coding experience in Python is must, any additional
programming language such as R, C, C++ is a plus
- Experience working with query languages (i.e. Spark-SQL, T-SQL)
is must.
- Understanding and experience working with cloud infrastructure
services like Azure and Amazon Web Services. MS Azure and ADF is
preferred.
- Excellent communication & interpersonal skills with an ability
to communicate ideas.
- MS in Computer Science, Math, Physics, or equivalent
education/professional experience is required. Ph.D is a plus.
- Experience working with code repositories and continuous
integration (Git/Jenkins)
- Strong passion for understanding key business problems,
bringing together the team to understand data/ instrumentation
needs and/or mine through data to unearth deep insights into
customer experiences
- Excellent communication & interpersonal skills with an ability
to communicate ideas, insights and complicated analysis effectively
at all organizational levels, include engineering leadership
QualificationsAdditional InformationWhen 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-blogGreat People Deserve
Great BenefitsWe 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.#LI-BW1REF126168Q
Keywords: Epsilon, Irving , Director, Data Science (Remote), Executive , Irving, Texas
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