> Markdown version of [/jobs/ext/4523283-senior-associate-ai-data-scientist](https://www.wearedevelopers.com/jobs/ext/4523283-senior-associate-ai-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Associate, AI Data Scientist

- **Company:** TWG, INC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $190,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Application Frameworks, Big Data, Cloud Computing, Cluster Analysis, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, Azure Machine Learning, SQL Databases, Tableau (Software), Pinecone, Data Processing, Feature Engineering, Pytorch, Large Language Models, Snowflake, Palantir Foundry, Generative AI, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Analytics, Xgboost, Weaviate, Plotly, Free and Open-Source Software, Milvus, Data Management, FAISS, Azure AI, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-associate-ai-data-scientist-new-york-ny--e93cc049-e73b-44d7-809b-d5b7ce5dacbc

## About the Role

Artificial Intelligence (AI), Data Science, Loans, Sports, Finance, Artificial Intelligence (AI), Investment Services, Business Solutions, Business Transformation, Cloud Computing, This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning., * 4+ years of experience applying data science or advanced analytics in a professional setting, ideally structured finance.

 * Solid understanding of statistical modeling, machine learning fundamentals, and experimental design.
 * Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting.
 * Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow).
 * Strong experience with SQL and data manipulation across large datasets.
 * Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI).
 * Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus.
 * Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments.
 * Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations.
 * Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline.

Preferred:

 * Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments.
 * PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
 * Publications in top data science / ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar).
 * Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials).
 * Experience presenting research or applied work at meetups, workshops, or industry conferences.
 * Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks.
 * Cloud or AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional Data Engineer, Azure AI Engineer) are a plus.

## Description

As a Senior Associate, Data Scientist, you'll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization., * Own end-to-end development and ownership of predictive and statistical models addressing business-critical challenges across diverse domains.

 * Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development.
 * Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability.
 * Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact.
 * Clean, transform, and prepare data from diverse sources, ensuring high-quality datasets for analysis.
 * Build dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical stakeholders.
 * Stay current with emerging data science methods and tools (e.g., generative AI, LLMs, causal inference) and apply them through prototyping.
 * Contribute to the team's knowledge base by documenting workflows and sharing best practices.