Political (Social) Scientist (PhD)/Data Scientist
- Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process .
- Develop and maintain robust ML and data pipelines for experimentation and deployment.
- Prototype and test new approaches for extracting insights from unstructured data for corporate or financial markets.
- Collaborate cross-functionally with political scientists, data scientists, and backend developers.
- Explain ML/NLP model outputs and methodologies to non-technical stakeholders.
- Proven experience developing, refining, and monitoring NLP models.
- Substantial experience querying, cleaning, compiling, and analyzing big data.
- Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models.
- Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.
- Substantial experience with Python, R, and relevant libraries (e.g., numpy , pandas, scikit, pytorch , tidyverse , caret, ggplot , etc.).
- Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker , API protocols) preferred but not required.
- Understanding of model evaluation methods and metrics.
- Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs.
- Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases).
- Demonstrated experience with interpretable AI techniques.
- Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).
- Advanced degree or certification in NLP, ML, or related fields.
- Familiarity with DevOps practices and tools.
- Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases).
- Demonstrable impact of technical solutions or projects on decision-making
- Experience working in fast-paced, agile environments.
- Customer-facing experience, notably in understanding end user needs and building collaborative relationships.
- Subject matter experience with political science, geopolitics, or country risk.
- Hybrid Work Environment: 3 days a week in office required based on your line of business and location
- A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
- Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
- Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
- Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
- Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community
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