What you'll do in the role: Morgan Stanley Services Group, Inc. is seeking a Director, Data & Analytics Engineering in Alpharetta, GA to design and deploy machine learning (ML) models for data-driven decisions. Implement distributed training systems to accelerate model training. Analyze data from past events to create labeled training data, extract data trends, and develop new features. Build APIs to serve real-time predictions with scalable infrastructure. Automate the process to integrate new code changes, test changes, and deploy in production. Ensure secure and compliant connections between cloud and on-premises data systems. Leverage Large Language Models to generate content and derive features for ML applications. Telecommuting permitted up to 2 days per week.
What you'll bring to the role:-Requires a Master's in Computer Science, Computer Engineering, or a related field
-Requires one (1) year of experience in the position offered or one (1) year as a Software Developer, Intern, or a related occupation
-Requires one (1) year of experience with the following skills:
- Python;
- Libraries including:
- Numpy;
- Pandas;
- Matplotlib; and
- Scikit-learn.
- Data processing techniques including:
- Handling missing values;
- Normalization; and
- Feature extraction.
- Machine learning algorithms including:
- Linear regression;
- Decision tree; and
- K-nearest neighbors.
- Basic deep learning algorithms;
- Frameworks including:
- Linear algebra;
- Calculus;
- Probability; and
- Statistics.
Expected base pay rates for the role will be between $125,000 and $135,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
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