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About the Role

The Senior Data Scientist will be a pivotal member of our Enterprise Data Management team, transforming complex data into actionable intelligence to drive superior investment outcomes and operational efficiencies. This role requires a proactive approach to problem-solving and the ability to translate technical findings into strategic recommendations for investment teams and senior leadership. You will own the full model lifecycle from feature engineering and deployment to monitoring and optimization.

Responsibilities

Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that can inform business strategy.
Translate complex findings into clear, actionable recommendations.
End-to-end machine learning delivery, including architecting, training, evaluating, and deploying production-grade predictive models and statistical algorithms.
Design and implement sophisticated AI-powered algorithms and predictive models to continuously monitor, analyze, and optimize company performance.
Implement automated monitoring for production models to detect data drift, concept drift, feature skew, and latency degradation.
Establish retraining triggers and model registry governance.
Own the deployment and operationalization of ML models using MLflow, containerization (Docker), and automated CI/CD pipelines.
Transition models from notebook prototypes into scalable batch jobs or low-latency REST APIs.
Continuously refine search parameters, algorithms, and recommendations based on historical deal patterns, dynamic market conditions, and emerging sectors.
Contribute to the design of scalable data pipelines and data lakes that power advanced analytics and AI applications.
Champion best practices for data protection, including encryption and access controls.
Collaborate to define and implement robust data quality standards, ensuring all analytical models are built on a foundation of reliable data.
Operate within our compliance framework to ensure ethical data handling, regulatory compliance, and consistency across the enterprise.
Work with business stakeholders, data engineers, data stewards, and information architects to ensure data quality and accuracy of analytics and reporting.

Requirements

Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Quantitative Finance, or a closely related quantitative field.
5+ years of dedicated experience as a Data Scientist.
Expert-level Python and strong SQL skills.
Experience using NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, and SQL databases such as PostgreSQL or T-SQL.
Deep practical expertise with tree-based algorithms and gradient boosting (XGBoost, LightGBM, CatBoost) on structured/tabular business and financial data.
Strong foundational statistics, including hypothesis testing, regression analysis, regularized models, classification, and time-series forecasting.
Strong understanding of MLOps solutions for model deployment, management, and scaling (e.g., SageMaker, Vertex AI, Azure ML, MLflow, Docker).
Proven experience managing the full model lifecycle using MLflow, including experiment tracking, model registry, and artifact storage.
Wide range of ML algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, Boosting Algorithms, Deep Learning, Time Series Forecasting, NLP, and Reinforcement Learning.
Ability to work effectively in a dynamic, team-oriented environment.
Relevant professional certifications such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM).
Strong working knowledge of Tableau, Power BI, D3.js, Matplotlib, Seaborn, or ggplot.
Familiarity with Git-based CI/CD workflows and automated testing for data science repositories.
Excellent communication skills to articulate complex data concepts to non-technical stakeholders.
Ability to build strong relationships across departments to ensure collaborative data initiatives.
Pragmatic problem solver; prioritize robust, explainable baseline models over unnecessary complexity.
Strong analytical and problem-solving skills to innovate and drive improvements in data processes.

Skills

Python
SQL
NumPy
Pandas
Scikit-learn
TensorFlow
PyTorch
PostgreSQL
T-SQL
XGBoost
LightGBM
CatBoost
Hypothesis testing
Regression analysis
Regularized models
Classification
Time-series forecasting
MLOps
SageMaker
Vertex AI
Azure ML
MLflow
Docker
k-NN
Naive Bayes
SVM
Decision Forests
Boosting Algorithms
Deep Learning
NLP
Reinforcement Learning
Tableau
Power BI
D3.js
Matplotlib
Seaborn
ggplot
Git
CI/CD

Location

Los Angeles, CA

Work Type

Full-time

Experience Level

Senior
5+ years

Education Level

Master's degree
Bachelor's degree

Salary/Compensations

$150,000 - $175,000

Benefits

Competitive compensation plan
Variety of Medical, dental, and vision benefit plans
Health Savings Account with a generous employer contribution
Company paid life and disability insurance
401(k) savings plan, with company match
Comprehensive paid time off, including vacation days, 10 designated holidays, sick time, and bereavement leave
Up to 16 hours of volunteer time off
Up to 16 weeks of Paid Parental Leave
Ongoing professional development programs
Wellness program, including monthly and quarterly prizes

About the Company

CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer.
Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest.
Founded in 1994, CIM has grown from projects in Southern California neighborhoods to a diverse team of 900+ employees with projects across the Americas.
Our projects have delivered jobs, created comfortable places to live, work, and relax, and provided necessary and sustainable infrastructure.
Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come.

Equal Opportunity

At CIM Group, we believe that the unique perspectives and backgrounds of our employees enhance everything we do.
We are committed to fostering an inclusive environment where diversity is not only respected but celebrated.
We strive to ensure that our workplace is free from discrimination and harassment, allowing everyone to contribute meaningfully and feel a sense of belonging.
As an equal opportunity employer, we strictly prohibit any form of unlawful discrimination and adhere to the laws enforced by the EEOC.
Our goal is to provide a safe and supportive environment where all employees can grow and make impactful contributions together.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws.
Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.