Lead Machine Learning Engineer
Company: Discover
Location: Crystal Lake
Posted on: January 12, 2021
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Job Description:
Discover. A brighter future.With Discover, you'll have the
chance to make a difference at one of the world's leading digital
banking and payments companies. From Day 1, you'll do meaningful
work you're passionate about, with the support and resources you
need for success. We value what makes each employee unique and
provide a collaborative, team-based culture that gives everyone an
opportunity to shine. Be the reason millions of people find a
brighter financial future, while building the future you want, here
at Discover.Job Description The Enterprise Technology Platform
organization is seeking a highly skilled and cloud-native Machine
Learning engineer that has a passion for Data Science. Your role is
to develop, test & operate reusable ML code patterns. You'll
provide support to the internal engineering, infrastructure, &
Business Data Science teams to continuously improve & optimize our
analytics.Responsibilities: * Work as part of a team of other Cloud
Machine Learning engineers to design and build packages and
automation scripts that enable data scientists and business
analysts to easily consume cloud-native services.* Technical point
of contact for internal platforms teams as it relates to
analytics,* Data science and visualization* Developing secure
design patterns for analytics architectures deployed in the public
cloud and/or orchestrated container environments.* Develop
container image lifecycle management systems* Leads the design,
build and maintenance of modern cloud platforms that support agile
teams.* Partners with key stakeholders as a platform champion for
cloud-native systems, and coaches on how to use platform
capabilities effectively through appropriate venues.* Drives
continuous improvement of cloud products & capabilities through
internal user groups and external market research.* Leads the
development and implementation of advanced analytics including
customer segmentation, optimization, prescriptive analytics and
machine learning algorithm & recommendation to solve business
problems. Operates as a subject matter expert on statistical
analysis, test and design of experiment, analysis methodology,
modeling & application, and financial impact analysis.*
Collaborates with cross-functional partners to understand their
business needs, formulate and complete end-to-end analysis that
includes data gathering, analysis, ongoing scaled deliverables and
presentations. Delivers effective presentations of findings and
recommendations to multiple levels of leadership, creating visual
displays of quantitative information.* Establishes and maintains
effective performance tracking; identify improvement opportunity,
form hypothesis, proposes, designs and implements tests to drive
strategy enhancement and optimization.* Manages multiple
priorities, communicate business performance and project progress
to management & business partners.* Develops and automates reports,
iteratively build and prototype dashboards to provide insights at
scale, solving for analytical needs. Facilitates implementation of
work product and ensure accuracy.* Consistently follows standard
work processes and documentation requirements. Recommends
improvement to work processes to increase efficiency while
maintaining quality of work. Continuously improves technical and
leadership skills through training and development.Skills
Required:* Bachelors degree in Analytics, Engineering or
Statistics* 4+ years of work experience in Credit Risk, Fraud Risk,
Marketing Analytics, Optimization, Operations Analytics,
Modeling/Data Science or relatedSkills Desired:* 3+ years of
experience in Machine Learning, Deep learning, Visualization or
related field* Knowledge of Infrastructure as Code, Immutable
Infrastructure, & continuous integration/deployment practices*
Proficient in at least one programming language (Python, R)*
Experience in version control systems such as Git, GitLab, etc.*
Experience administering & hardening Linux systems* Familiarity
with technical challenges associated with containers and
distributed systems with a focus on analytics research
environments.* Experience with analytics tools (SAS, R, Scientific
Python, H2o, SQL)* Willingness to continuously learn & share
learnings with others* Ability to work in a fast-paced, rapidly
changing environment* Very strong verbal & written communication
skills* Experience with solving problems and delivering high
quality results in a fast-paced environment* Experience with
analytics tools (SAS, R, Scientific Python, H2o)* Experience with
data mining, machine learning, statistical modeling tools or
underlying algorithms* Experience within the Financial
industry#LI-KEWhat are you waiting for? Apply today!The same way we
treat our employees is how we treat all applicants - with respect.
Discover Financial Services is an equal opportunity employer (EEO
is the law). We thrive on diversity & inclusion. You will be
treated fairly throughout our recruiting process and without regard
to race, color, religion, sex, sexual orientation, gender identity,
national origin, disability, or veteran status in consideration for
a career at Discover.
Keywords: Discover, Crystal Lake , Lead Machine Learning Engineer, Other , Crystal Lake, Illinois
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