CL
Compass LexeconData Scientist
Data Scientist joining a leading economic consultancy to implement data science solutions for business challenges and advance thought leadership in advanced analytics.
About the role
- Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization
- Design, build, and optimize machine learning models for marketing propensity, personalized loan offers, and next-best-action predictions
- Prototype solutions using advanced AI techniques to accelerate experimentation
- Partner with engineering teams to productionize models in a scalable and latency-conscious environment
- Query and analyze large datasets to uncover business insights and support decision-making
- Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards
- Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment
- Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing
- Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions.
Requirements
- Master’s or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience)
- 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment
- Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.)
- Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks
- Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development
- Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.)
- Experience deploying machine learning models into production environments with considerations for scalability and latency
- Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
- Preferred: Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment
- Preferred: Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.)
- Preferred: Understanding of credit risk modeling, financial products, or consumer lending
- Preferred: Experience working with APIs, real-time scoring, and event-driven architectures
- Authorization: Application asks if you are permanently authorized to work in the United States and about immigration sponsorship (work authorization implied)
Benefits
- Annual Bonus potential
- Equity compensation package
- Flexible Time Off Policy (Take time as you need it)
- 401(k) with Employer contribution
- Medical, Dental, Vision – 100% premium paid for employee
- Flexible hybrid work environment that blends in-office collaboration with the freedom of remote work
- Opportunity for career growth and challenge
- Beautiful California East Bay offices in Dublin, CA
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CL
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