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Develops and programs methods, automated processes, and systems
to cleanse, integrate and analyze structured and unstructured,
diverse big data sources to generate actionable insights and
solutions using machine learning and advanced analytics. Interprets
and communicates insights and findings from analyses and
experiments to other analysts, data scientists, team members and
business partners. This position is responsible for various
analysis work that directly influences management and executive
decision making, system optimization, predictive and prescriptive
analytics, and various analytics that guide continuous improvement
to the Consumer Finance team and it's decision making process. The
Senior Data Scientist will be highly visible to executive levels
and will take part in shaping the future of Consumer Finance at
The Main Responsibilities
Ability to execute data discovery, exploratory data analysis,
and iteratively develop predictive and prescriptive models to
identify optimal solutions. Assist with operationalizing the
solutions and changing business processes to maximize the value of
• Analyze data and build predictive and prescriptive models in a
wide range of areas including customer segmentation and lifetime,
business performance, customer clustering, capacity planning, asset
profitablity, cost management, and various other areas.
• Mine information for previously unknown patterns and insights
hidden in these assets and leverage them for competitive
• The problems solved will be at the cutting edge of technology
and will lie at the intersection of science, engineering, and
• Be part of a highly skilled agile team and within the Consumer
What We Look For in a Candidate
• Experience with SQL, database navigation in an Oracle data
environment and Data Lake unstructured environments.
• Python and/or R data script writing.
• Very strong in math and statistics at the post graduate
• Masters in a mathematical and modeling discipline a must, PHD
• Experienced in writing formulas, expressions and algorithms as
needed to support analytical work.
• Understands how to explore unstructured data to gain insights
and build models to produce results.
• Strong communication skills and relationship skills.
• Ability to perform ad-hoc statistical analysis including
correlation analysis, frequency distribution analysis,
probabilistic modeling, sophisticated forecasting, and academic
based predictive and prescriptive methods.
• Capable of modeling the relationships between many sources of
raw data, develop models that can serve to provide insight to
support decision making and guide financial decisions.
• Ability to write customized algorithms to drive predictive and
prescriptive analysis in business management, creating actionable
recommendations to improve Financial Decisions.
• Can be flexible to work on various types of projects, often
balancing multiple deliverables with a wide range of complexity
• Is comfortable working with teams, sharing code among peers,
and presenting to leadership.
• Has a genuine drive to succeed and self-motivated to take care
of business , while positively representing the team.
What to Expect Next
Requisition #: 230658
When applying for a position, you may be subject to a background
screen (criminal records check, motor vehicle report, and/or drug
screen), depending on the requirements for the position.
Job-related concerns noted in the background screen may
disqualify you from the new position or your current role.
Background results will be evaluated on a case-by-case
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all persons regardless of race, color, ancestry, citizenship,
national origin, religion, veteran status, disability, genetic
characteristic or information, age, gender, sexual orientation,
gender identity, marital status, family status, pregnancy, or other
legally protected status (collectively, “protected statuses”).
We do not tolerate unlawful discrimination in any employment
decisions, including recruiting, hiring, compensation, promotion,
benefits, discipline, termination, job assignments or training.
The above job definition information has been designed to
indicate the general nature and level of work performed by
employees within this classification. It is not designed to contain
or be interpreted as a comprehensive inventory of all duties,
responsibilities, and qualifications required of employees assigned
to this job. Job duties and responsibilities are subject to
change based on changing business needs and conditions.