Data Science Lead Analyst
hace 2 meses
Job Summary:
As a Data Science Lead Analyst for Enterprise Excellence at Citi, you will be responsible for leading end-to-end data science Enterprise Excellence projects, from problem formulation to model deployment to address Citi Line of Business challenges and opportunities.
Key Responsibilities:
- Collaborate closely with cross-functional teams, including technology, re-engineering, product management, and business stakeholders, to define project requirements and deliverables.
- Develop predictive models, algorithms, and data-driven solutions to optimize business process, improve product performance, and drive strategic decision-making.
- Design and conduct experiments, tests, and causal inference analysis to evaluate the effectiveness of interventions and initiatives.
- Mentor and coach team members, providing guidance on best practices, methodologies, and tools in data science and machine learning.
- Stay-up-to-date with the latest developments in data science, machine learning, and related fields, and evaluate emerging technologies for potential adoption.
Qualifications:
To be successful in this role, you will need:
- 6 to 8 years of relevant experience, with 4+ years of professional experience in data science, with strong foundation in statistical analysis, machine learning, and data visualization
- Proficiency in programming languages such as Python, R, or Scala, and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, or spark
- Solid understanding of experimental design, hypothesis testing, and causal inference methods
- Experience with SQL and relational databases for data manipulation and querying
- Proficiency with data mining, mathematics, and statistical analysis
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Strong problem-solving and critical-thinking abilities, with a demonstrated ability to tackle open-ended problems and drive projects to completion
- Advanced experience in pattern recognition and predictive modeling
- Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
- Experience working with large-scale distributed computing frameworks and cloud platforms (e.g, AWS)
- Knowledge of software engineering best practices, including version control, testing and deployment pipelines
- Familiarity with natural language generation (NLG), natural language processing (NLP), computer vision, or other specialized areas of machine learning
Education:
A Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, or related field is required.
Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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