• Develop and apply state-of-the-art , supervised and unsupervised models to support e-commerce marketing and online business
• Lead and conduct deep-dive research and analysis to identify opportunities
• Research customer cohorts and design A/B experiments for web optimizations & marketing campaigns by splitting users groups into test and control and sampling users in the best way to drive open/click rates and conversions
• Generate and deliver compelling insights to leaders to inform strategic decisions on new products/initiatives and optimizations to our website
• Work with stakeholders to scope and define the needs of business and manage data engineering projects to ensure accuracy and timely delivery

• Minimum 3+ years of experience using data to facilitate decisions OR
• Advanced Degree (Masters or Ph.D. in Computer Science, Data Science or other quantitative field) and 1+ years of experience using data to facilitate decisions
• Minimum 1+ years of experience in Marketing / Customer analytics space
• Minimum 2+ years of experience in SQL and statistical analysis using Python
• Prior experience in implementation of industry solution with ML – classification, regression or clustering problem.

• Minimum 2+ years of experience with tools like Data bricks/ SageMaker/Dbt
• Prior experience working in e-commerce, marketing, and customer analytics space – at-least 1 year
• Experience in Salesforce Marketing Cloud and Pardot are a plus
• Communication skills – ability to ask the right questions, translate data to business insights and communicate technical information to the business audience
• Ability to work with ambiguity, strategic thinking, and motivated learner
• 1+ years of experience using Google Analytics
• 1+ years of experience using Tableau/Domo/Spotfire

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Analytic Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across consumer lending. This role supports analytics requirements for Credit Bureau Oversight and Quality reporting along with reporting for Issues Management.

EADS is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community.

We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.)

In this role, you will:

• Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
• He/She would perform Data wrangling activities.
• He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
• Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
• Define business problem and translate it into analytical problem.
• Essential Qualifications:
  
• 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
• 1-4 years of experience
• Experience with supervise , unsupervised & semi supervise learning
• Experience with Deep-learning, Artificial intelligence techniques
• Strong programing skill
• Expertise in analytic tools : R, Python, Scala, Java
• Big Data skills – Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR
• NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning
• Data Engineering
  
  • Sql ,Teradata, Hadoop, Spark
• Exploratory Data analysis
  
  • Provide exploratory data analysis using Python/R/SAS / SQL
  • Experience with Databases like oracle , Teradata, Sql server
  • Advance Excel skills
  • Data integration and clean up data for the usage
  • Experience with structured data and semi-structured text or Excel files
• Business Intelligence
  
  • Tableau, Power BI, Shiny, Dash, HTML5
• Business Analytics
  
  • Data mining and Insights
  • Trend Analysis , forecasting and pattern recognition
  • Find opportunities in the data and able to communicate to the partners
  • Consult with partners to define issues/information needs
  • Present findings to multiple levels of management
  • Ensure that analyses are delivered on time, while surpassing partner expectations
  • Ensure partner transparency throughout the life of the project
  • Proactively seek opportunities to increase the value of analysis
  • Strong oral and written communication and consultative skills
• Desired Qualifications:
  
• Strong collaboration skills
• Output deployment using appropriate technologies (HTML5, Shiny, Django)
• Working expertise in Tensorflow, Keras or Pytorch would be added advantage
• Ability to translate analytical data into useful business information
• Critical thinking and strong problem solving skills
• Ability to learn the business aspects quickly
• knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
• Ability to multi-task and prioritize between projects
• Ability to work independently and as part of a team

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.