Data Engineer supporting ingestion of mission - critical data into big data environment at IAMUS Consulting. Leading department with extensive experience in software and data engineering.
About the role
- Data Scientist III leveraging sophisticated analytics and data science solutions for business improvement at Truist. Leading projects and providing actionable insights in a collaborative environment.
Responsibilities
- Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
- Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
- Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives
- Act as a resource for teammates with less experience
- Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics) on structured and unstructured data
- 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 fosters 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
- Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices
- Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices
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
- no less than 10 days of vacation
- 10 sick days
- paid holidays
- specific benefits based on full-time or part-time status, position, and division
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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