Data Scientist / Analytic Consultant 3

Overview:

Wells Fargo technology teams drive innovation to create a more powerful and fulfilling financial experience for our customers and team members. You will join more than 24,000 team members supporting 95 billion transactions annually in 10 countries. Our career opportunities span the technology spectrum: advanced analytics, big data, information security, application development, cloud enablement, project management and more.

SUCCESS PROFILE

Check out the top traits we’re looking for and see if you have the right mix. Additional related traits listed below.

Analytical
Detail-oriented
Insightful
Inventive
Problem Solver
Curious

Benefits

Wells Fargo wants to help you get more out of life and take care of things outside the office to make life a little easier. We provide:

Medical, Dental and Vision
Employer Matching 401(k)
Tuition Reimbursment
Maternity and Paternity Leave
Paid Time Off

Responsibilties

Job Description

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Wells Fargo’s Chief Administrative Office (CAO) consists of enterprise functions that work together to promote and protect the Wells Fargo culture and brand, and support our team members. Groups within CAO work to protect our reputation, tell our story, bolster team member engagement, connect with our customers, and bring new and innovative solutions to life. CAO functions include Commitment to Customer, Corporate Responsibility & Community Relations, Data Management & Insights, Human Resources, Marketing, Stakeholder Relations and the CAO Integration and Planning Office.

The Data Management and Insights organization (‘DMI’) is building a best in-class data science team, focused on delivering enterprise-wide data driven insights based in both traditional and emerging analytical techniques. Our team supports the DMI service model by providing LOBs with machine learning and predictive analytic consulting and guidance.

Key Responsibilities Include :

Lead machine learning projects, including working with business partners to define the scope and deliverable, developing the analytic plan and time line, leading deployment and delivering results
Provide technical advice to other members of the team and across the organization on topics including machine learning code, machine learning algorithms and traversing across multiple big data platforms
Identify and lead the evaluation of new software techniques and technologies, including delivery of results
Identify new applications for machine learning across the company and work with business partners to pilot

Required Qualifications

5+ years of reporting experience, analytics experience, or a combination of both; or a BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 3+ years of reporting experience, analytics experience, or a combination of both
1 + year of experience using quantitative machine learning techniques
1+ year of Python experience
1+ year of SQL experience

Desired Qualifications

Extensive knowledge and understanding of research and analysis
Strong analytical skills with high attention to detail and accuracy
Excellent verbal, written, and interpersonal communication skills
Experience with Tensorflow, Theano or Keras

Other Desired Qualifications

Solid understanding of and 1+ year of experience applying machine learning techniques such as neural networks, random forest, GBM and SVM, to form a story
Experience with signal processing or optimization techniques
Advanced knowledge of statistical techniques (e.g. sampling, probability, multivariate data analysis, regression, PCA, time-series analysis)
Strong ability to retrieve, combine and transform data from numerous information systems
Strong acumen in diagnosing and resolving data issues
Experience working with big data infrastructure with tools such as Hive, Spark and h2o
Exceptional analytical, critical thinking, quantitative reasoning skills, and problem-solving skills. Ability to relate complex analysis and insights to effective business strategy.
Other advanced statistical tools such as SAS, R and Weka

Disclaimer

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.