Director of Data Science leading personalization, recommendation systems, and GenAI chatbot development at Gartner. Managing teams and strategic AI initiatives for enhanced client experiences.
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
Associate Data Scientist designing and evaluating LLM - based applications for Manulife. Collaborating on AI initiatives and gaining experience in a supportive environment.
Data Scientist developing analytics and technology platforms to improve health care at CVS Health. Collaborating with cross - functional teams to deliver powerful solutions focusing on automation and efficiency.
Data Scientist supporting national security initiatives through data analysis and quality assurance. Working with complex datasets to ensure accuracy and drive meaningful insights.
Senior Data Scientist designing and leading projects to enhance machine learning classifiers for cancer detection. Collaborating with cross - functional teams in a healthcare company focused on early cancer detection.
Placement Data Science Engineer at Medialab building data software and infrastructure for media advertising. Working on Python tools, automated pipelines, and AI solutions in a hybrid role based in London.
Data Scientist specializing in structured and unstructured data analysis and ML solutions for predictive analytics and NLP. Join a fast - paced team in Hyderabad, India.
Data Scientist at Capital One leading machine learning initiatives to unlock customer behavior insights. Collaborating with product teams to enhance digital experiences across a vast dataset.
As a Data Scientist at Capital One, collaborate with cross - functional teams on AI/ML technologies. Drive innovation using big data, impacting customer financial experiences.
Lead Data Scientist focused on Reinforcement Learning algorithms at Fractal Analytics. Leading teams delivering scalable machine learning models in a fast - paced environment.