About this role:
Wells Fargo is seeking a Lead Data Science Consultant
In this role, you will:
This is a Lead Data Scientist role within the CIB Data organization, to build an Advanced Analytics capability. This will be a small, niche team of Data Scientists.
We are looking for an experienced lead data scientist for this expansion of capabilities, The ideal candidate will be one who brings in comprehensive knowledge of AI/ML skills along with a good understanding of CIB business and products.
In this role, you will:
- Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
- Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
- Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
- Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor
- Execute 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 to peers 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
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- 5+ 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
- 10+ years of experience in leading the implementation of analytics solutions
- 7+ 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, SAS, SQL, and big data technologies such as Hadoop, Spark, Hive or AWS services
- Tools such as Scikit-learn, TensorFlow, PyTorch, NumPy/SciPy, Pandas.
- Generative AI & LLM models.
- Knowledge of visualization frameworks using Power BI and Tableau
- Define and own the data science roadmap for the Advanced Analytics "Capability", working closely with colleagues and business stakeholders to ensure successful execution for our I&P operations.
- Conceptualize, test and develop descriptive and predictive models using statistics / AI ML & NLP technologies.
- Create and perform end-to-end analysis, including designing research methods, data extraction, processing, analysis, iteration, visualization, presentation of results to stakeholders.
- Design and implement robust, production-level microservices & APIs to expose algorithms and models.
- Innovate and design automation tools to drive internal processes and improve data quality.
- Investment Banking / Capital Markets / Traded products and asset classes
- Minimal requirement - Banking and Financial Services
- Excellent verbal, written, and interpersonal skills
- Hands-on experience in leading and productionizing challenging analytical solutions.
- 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.