Data Analytics and Insights Leader
hace 5 días
Citi's Operations and Technology organization is seeking a talented Data Science Lead Analyst to join our team. In this role, you will lead end-to-end data science projects, collaborate with cross-functional teams, and develop predictive models and data-driven solutions.
Responsibilities:
- Lead end-to-end data science projects, from problem formulation to model deployment, to address Citi Line of Business challenges and opportunities.
- 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 processes, 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.
Requirements:
- 6 to 8 years of relevant experience, with 4+ years of professional experience in data science, with a 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.
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