Lead Data Science Consultant
- Wells Fargo
- 5 - 10 years
- Hyderabad
- 2 days ago
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Job Description
About this role:
Wells Fargo is seeking a Lead Data Science Consultant.
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
Required Qualifications:
- 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
Desired Qualifications:
- Experience developing or supporting capacity forecasting, productivity, or workforce optimization models.
- Demonstrated understanding of the U.S. home mortgage business and related processes is highly desirable.
Job Expectations:
- Own endtoend delivery of analytics solutions, from problem framing and hypothesis development through execution, validation, and business adoption.
- Act as a thought partner to stakeholders, proactively translating business needs into analytical approaches and driving alignment between analytics, technology, and business teams.
- Design and guide scalable analytics solutions leveraging Python, SQL, cloud platforms, data lake architectures, and federated query technologies to ensure robustness and reusability.
- Provide technical leadership and mentorship, setting standards for analytical rigor, best practices, and effective use of data science tools and methodologies.
- Communicate insights with clarity and influence, using data storytelling and visualization to enable confident decisionmaking among technical and nontechnical audiences.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Hyderabad
Keyskills: data science algorithms storytelling python technical leadership mathematics forecasting robustness cloud platforms data science tools sql analytics cloud economics mortgage physics data lake programming statistics
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Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community- based financial services company with $1. 9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more ...
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