About this role:
Wells Fargo is seeking a Senior Lead Data Science Consultant
In this role, you will:
- Act as an advisor to senior leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs that can be resolved through utilizing data-driven advanced analytical, statistical techniques, algorithms, or models
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth hypothesis generation and advanced analytics across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced inductive thinking, and coordination of highly complex activities and guidance to others
- Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions generated from data driven insights that are large-scale, cross-functional, or companywide strategies
- Strategically engage with all levels of professionals and managers across the company and serve as an expert advisor to leadership to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns
- Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
- Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
- Provide consultation on data science best practices, methods, and tools to leverage
- Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels, including leadership, across the company
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- 7+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Act as an advisor to senior leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs that can be resolved through utilizing data-driven advanced analytical, statistical techniques, algorithms, or models
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth hypothesis generation and advanced analytics across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced inductive thinking, and coordination of highly complex activities and guidance to others
- Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions generated from data driven insights that are large-scale, cross-functional, or companywide strategies
- Strategically engage with all levels of professionals and managers across the company and serve as an expert advisor to leadership to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns
- Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
- Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
- Provide consultation on data science best practices, methods, and tools to leverage
- Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels, including leadership, across the company
- Manage the setup of an Advanced Analytics "Capability" development for our I&P operations, working closely with our business stakeholders.
- Develop talent in the Data Science space for the group
- Engage with leadership across different levels and functions within the organization, towards success of the Advanced Analytics capabilities
- Serve as single point of contact and SME for escalations on issues of varying complexity
- Mentor & guide talent development of direct reports and the broader team across local analytics team
- 15+ years of experience in leading the implementation of analytics solutions
- 10+ years of experience in design, development, deployment and management of Machine Learning and NLP models for various use cases
- Data Analytics expertise in:
- Building data pipelines to collect, store and process the structured and unstructured data for advanced analytics solutions
- Data preparation (complex datasets), exploratory data analysis to assess the fitment of the data for the appropriate machine learning models
- Leveraging statistical modeling for the betterment of analytical solutions
- Building explainable AI ML & NLP models using supervised, unsupervised and deep learning algorithms
- Advanced Python libraries and big data technologies such as Hadoop, Spark, Hive or AWS services
- Generative AI & LLM models.
- Investment Banking / Capital Markets / Traded products and asset classes
- Minimal requirement - Banking and Financial Services
- Excellent verbal, written, and interpersonal skills
- Hands-on people leader with ability to connect across all levels in an organization
- Educational Qualification: MBA/PhD/M-Tech from premier universities
22 Nov 2024
*Job posting may come down early due to volume of applicants.
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, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.