- 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
- 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
- 5+ years of experience with Python
- 4+ years of experience with SAS, Teradata, PySpark, SQL, and Machine Learning (ML) and Natural Language Processing (NLP) & Large Language Model (LLM) experience.
- 2+ years of experience with model development and model validation experience.
- Ability to leads or assist on end-to-end model build efforts from discovery to deployment.
- Experience working with technology partners and model governance.
- Communicates project progress and obstacles.
- Excellent communication skills and ability to articulate complex material to a diverse audience.
- Performs pre-/post-model testing, including explain-ability, robustness, fairness testing, etc.
- Shepherds model from discover to deployment including post-validation activities.
- Documents model development in MDD.
- Conducts ongoing monitoring and reviews.
- Ability to travel up to 10% of the time.
- Ability to work on site per Wells Fargo's standard operating model in one of the listed locations.
- 401(k) Plan
- Paid Time Off
- Parental Leave
- Critical Caregiving Leave
- Discounts and Savings
- Health Benefits
- Commuter Benefits
- Tuition Reimbursement
- Scholarships for dependent children
- Adoption Reimbursement
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Lead Data Science Consultant - New York, United States - Wells Fargo
Description
Why Wells Fargo:
This is where your true career begins. We ranked #2 on the 2023 LinkedIn Top Companies list - and #1 among financial services companies - as the best workplace "to grow your career" in the U.S. At Wells Fargo, we support employees' career aspirations and growth. We're proud of our employee-welfare-centered business approach and our commitment to diversity, equity, and inclusion in the workplace.
We offer competitive salaries and one of the richest benefits packages in the industry. Our Total Rewards program focuses on wellness, work-life balance and the financial health of our employees. Our customers invest with us, we invest in you. Apply today.
About this role:
Wells Fargo is seeking a Lead Data Science Consultant within the Enterprise Complaints Remediations, (ECR) organization. The Lead Data Science Consultant is responsible for owning the full-cycle of data analytics including identifying issues and opportunities, mining and analyzing data, building ad-hoc or preliminary use models and algorithms to determine data patterns or trends, and delivering meaningful insights, recommendations, and hypothesis generation.
In this role, you will:
Required Qualifications:
Desired Qualifications:
Job Expectations:
Pay Range New York, NY: 133, ,100.00 USD Annual - This range may not be applicable to other locations.
Pay Range
$111, $237,100.00
Benefits
Wells Fargo provides all eligible full- and part-time employees with a comprehensive set of benefits designed to protect their physical and financial health and to help them make the most of their financial future. Visit Benefits - Wells Fargo Careers for an overview of the following benefit plans and programs offered to employees.
Posting End Date:
5 May 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.
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.
Company: WELLS FARGO BANK
Req Number: R
Updated: Thu May 02 00:00:00 UTC 2024
Location: NEW YORK,New York