Director, Data & Analytics Engineering

Job DescriptionJob Title: Director, Data & Analytics EngineeringLocation: Alpharetta, GA (On-site, Remote; telecommuting permitted up to 2 days per week)Company: Morgan Stanley Services Group, Inc.Key ResponsibilitiesDesign and deploy machine learning (ML) models for data-driven decisionsImplement distributed training systems to accelerate model trainingAnalyze data from past events to create labeled training data, extract data trends, and develop new featuresBuild APIs to serve real-time predictions with scalable infrastructureAutomate processes for integrating code changes, testing, and deploying in productionEnsure secure and compliant connections between cloud and on-premises data systemsLeverage Large Language Models (LLMs) to generate content and derive features for ML applicationsMinimum RequirementsMaster's degree in Computer Science, Computer Engineering, or a related fieldOne (1) year of experience in the position offered or as a Software Developer, Intern, or related occupationOne (1) year of experience with:PythonLibraries: Numpy, Pandas, Matplotlib, Scikit-learnData processing techniques: handling missing values, normalization, feature extractionMachine learning algorithms: linear regression, decision tree, K-nearest neighborsBasic deep learning algorithmsFrameworks: TensorFlow or PyTorchLinear algebra, calculus, probability, statisticsCompensation & BenefitsExpected base pay: $125,000 - $135,000 per year (individualized based on experience)Total compensation may include commission earnings, incentive compensation, discretionary bonuses, short- and long-term incentive packages, and other sponsored benefitsCompany Values & CulturePutting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving backEqual opportunity employer; committed to diversity in experience and backgroundComprehensive employee benefits and perks