Data Scientist
Job Location:
Minneapolis, MN - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At U.S. Bank were on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life and each person is unique in their potential. A career with U.S. Bank gives you a wide ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things learn new skills and discover what you excel atall from Day One.
Were looking for a Data Scientist who is passionate about solving complex business problems through data analytics and machine this role youll partner with business stakeholders to identify opportunities develop predictive solutions and deliver insights that influence strategic decisions across the organization.
If youre energized by building machine learning models solving complex analytical challenges and translating technical findings into meaningful business outcomes wed love to connect with you.
- Design develop implement validate and maintain machine learning and predictive models that support business objectives.
- Apply advanced analytics statistical methods and machine learning techniques to solve complex business challenges.
- Continuously monitor model performance and recommend enhancements that improve accuracy effectiveness and business value.
- Support and maintain existing analytical and predictive modeling solutions while identifying opportunities for optimization and expansion.
- Gather integrate and analyze large volumes of structured and unstructured data from multiple sources.
- Perform data exploration analysis and querying to identify meaningful trends patterns opportunities and risks.
- Translate complex analytical findings into actionable recommendations that support business decision-making.
- Present insights model results and recommendations to both technical and non-technical audiences.
- Collaborate with business stakeholders to identify business problems prioritize opportunities and define analytical solutions.
- Work closely with model validators model risk teams compliance partners vendors and technology teams throughout the model lifecycle.
- Provide a holistic view of analytical findings by connecting data business context and organizational objectives.
- Support model governance implementation monitoring and ongoing performance management activities.
- Support initiatives focused on modernizing analytical environments workflows and processes including cloud-based solutions.
- Contribute to the migration of models workflows and operations into evolving cloud platforms.
- Measure and monitor results from implemented recommendations and model deployments.
- Ensure all data acquisition usage analysis and reporting activities comply with company standards governance requirements and regulatory expectations.
- Bachelors degree in Statistics Computer Science Engineering Mathematics Data Science or another quantitative field or equivalent work experience
- Four to six years of relevant experience
- Experience developing implementing validating and maintaining machine learning and predictive models preferably within financial services
- Strong analytical skills with the ability to extract organize analyze and interpret complex data sets
- Experience with:
- Machine Learning
- Predictive Modeling
- Statistical Analysis
- Data Visualization
- Advanced Analytics
- Proficiency with Python SQL R SAS or similar tools used for analytics model development and data extraction
- Experience working with large diverse and complex data environments
- Work experience with Azure Databricks cloud technologies Linux or related modern data platforms
- Understanding of machine learning methodologies algorithms and model lifecycle management
- Experience collaborating with governance compliance validation or risk management partners
- Strong communication skills with the ability to explain technical concepts to non-technical audiences
- Demonstrated project management organizational and stakeholder management skills
- Proven ability to collaborate effectively across business and technical teams
This role offers the opportunity to work at the intersection of data science technology and business strategy. Youll partner directly with business leaders solve meaningful problems through advanced analytics and help expand machine learning capabilities that drive measurable business impact.
Your work wont simply explain what happened. Youll help predict what comes next and influence the decisions that shape it.
NOT ELIGIBLE FOR VISA SPONSORSHIP
Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.
If theres anything we can do to accommodate a disability during any portion of the application or hiring process please refer to ourdisability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members whole selves and what may be needed to thrive in and outside work. Thats why our benefits are designed to help you and your family boost your health protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical dental vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race religion color sex national origin age sexual orientation gender identity disability or veteran status and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.
The salary range reflects figures based on the primary location which is listed first. The actual range for the role may differ based on the location of the addition to salary U.S. Bank offers a comprehensive benefits package including incentive and recognition programs equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105400.00 - $124000.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition certain positions may also be subject to the requirements of FINRA NMLS registration Reg Z Reg G OFAC the NFA the FCPA the Bank Secrecy Act the SAFE Act and/or federal guidelines applicable to an agreement such as those related to ethics safety or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
Required Experience:
IC
About Company
Experience personalized banking services for your unique needs with U.S. Bank - Checking, credit cards, home loans & convenient online banking. Member FDIC.
