BI & Visualization Developer at Conduent working on advanced visualizations and supporting analytics solutions. Collaborating with cross - functional teams and mentoring associates in a hybrid environment.
About the role
- Data Scientist III performing analytics for fraud client experience at Truist. Leveraging data science to improve business outcomes and minimize risk in financial services.
Responsibilities
- Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics) on structured and unstructured data
- Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk
- Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
- Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences
- Provide analytical consulting and thought leadership to various business areas and foster strategic and positive relationship with business partners
- Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value
- Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices
- Actively research and advocate adoption of emerging methods and technologies in the data science field
Requirements
- Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
- Minimum of six years of related experience
- Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation
- In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization
- Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
- Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
- Experience in managing multiple projects with tight deadlines in a collaborative environment
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Disability
- Accidental death and dismemberment
- Tax-preferred savings accounts
- 401k plan
- 10 days of vacation
- 10 sick days
- Paid holidays
- Defined benefit pension plan (depending on position)
- Restricted stock units (depending on position)
- Deferred compensation plan (depending on position)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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