About Company
United Bankshares, Inc. (NASDAQ: UBSI) is a financial services company with roots dating back to 1839. Headquartered in Charleston, West Virginia, United Bankshares is the parent company of United Bank, which operates 220 full-service offices and 20 loan origination offices in West Virginia, Maryland, Virginia, Pennsylvania, Ohio, Georgia, South Carolina, North Carolina, and Washington, D.C. With over $30 billion in assets, United Bank has built a reputation for strength, stability, and personalized customer service. We are committed to fostering an inclusive environment, promoting employee growth, and actively contributing to the communities we serve. Our continued growth is fueled by a dedication to innovation, strategic acquisitions, and a deep understanding of our customers’ evolving needs in an interconnected world.
Job Description
Are you an exceptional Data Scientist with a passion for transforming complex data into actionable insights, especially within a global context? United Bankshares, Inc., a leading financial services institution with a rich history of growth, innovation, and unwavering commitment to our communities, is seeking a talented and forward-thinking Data Scientist to join our dynamic team in Charleston, WV. In this pivotal role, you will leverage advanced analytical techniques, statistical modeling, and machine learning to unravel intricate patterns related to international trends, global talent mobility, and cross-border operational efficiencies, specifically tailored to support our strategic initiatives and evolving workforce needs.
The financial landscape is ever-changing, constantly influenced by global economic shifts, geopolitical events, and the increasing interconnectedness of markets. Understanding these international dynamics is paramount to our sustained success and ability to serve our diverse client base. This unique position focuses on ‘International Mobility,’ which encompasses a broad spectrum of data analysis. Your work might involve assessing global economic indicators impacting financial markets and customer behavior, optimizing internal processes related to international talent acquisition, expatriate management, and the seamless movement of services or capital across borders. You will play a crucial role in developing robust predictive models that inform strategic decisions, enhance our enterprise-wide risk management framework related to international operations, and streamline our human capital management strategies for a diverse and globally-minded workforce.
You will be embedded within a collaborative environment, working closely with various departments, including Human Resources, Risk Management, Corporate Strategy, and specific business lines dealing with international clients or operations. Your insights will directly influence how we attract, retain, and support a world-class talent pool, ensuring our organization remains competitive and adaptable. Furthermore, you will help us navigate the complexities of international finance, compliance, and regulatory landscapes through data-driven foresight. This isn’t just about crunching numbers; it’s about building compelling narratives from data, identifying untapped opportunities for innovation, and presenting your findings in a clear, concise, and persuasive manner to both technical peers and executive-level stakeholders. If you thrive in an environment where your analytical prowess can drive significant organizational impact, and you are eager to explore the fascinating intersection of data science and global dynamics within a robust, community-focused financial institution, we strongly encourage you to apply and become a vital part of our future success.
Key Responsibilities
- Develop, implement, and maintain predictive models and machine learning algorithms to analyze international market trends, global talent dynamics, and operational data.
- Extract, clean, and transform large datasets from various internal and external sources, ensuring data quality and integrity for analytical purposes.
- Collaborate with HR, Risk Management, and Business Strategy teams to define analytical requirements and deliver data-driven insights on international mobility, expatriate programs, and global workforce planning.
- Identify key performance indicators (KPIs) related to international operations and talent, creating comprehensive dashboards and reports to monitor trends and inform decision-making.
- Communicate complex analytical findings clearly and effectively to both technical and non-technical stakeholders through presentations, visualizations, and written reports.
- Proactively identify opportunities for leveraging data science to optimize international processes, mitigate risks, and enhance strategic initiatives.
- Stay abreast of the latest advancements in data science, machine learning, and big data technologies, evaluating and recommending new tools and methodologies.
Required Skills
- 3+ years of professional experience as a Data Scientist or in a highly analytical role.
- Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning.
- Expertise in SQL for data extraction and manipulation.
- Solid understanding of statistical concepts, hypothesis testing, and experimental design.
- Experience with data visualization tools (e.g., Tableau, Power BI) to create impactful dashboards.
- Proven ability to work with large, complex datasets and translate business problems into analytical solutions.
- Excellent communication and presentation skills, with the ability to articulate complex insights to diverse audiences.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
Preferred Qualifications
- Master's or Ph.D. in a quantitative field.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Familiarity with financial services industry data and regulatory environments.
- Experience with international HR data, global market analysis, or supply chain analytics.
- Knowledge of A/B testing and experimentation methodologies.
- Ability to develop and deploy production-ready machine learning models.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off, including holidays and vacation.
- Employee stock purchase plan.
- Tuition reimbursement and professional development opportunities.
- Wellness programs and employee assistance initiatives.
- Opportunity to work with cutting-edge technologies in a stable and growing financial institution.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and cover letter. Please highlight your experience in data science, particularly any work related to global trends, international data, or complex analytical projects.