Principal Machine Learning Engineer
Disney Entertainment & ESPN Technology is seeking a passionate Principal Machine Learning Engineer to drive the security and operation anomaly detection initiatives within the Commerce Growth and Identity Business Unit.
The Principal Machine Learning Engineer will lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you’ll work with teams across Commerce, Growth, and Identity to leverage machine learning solutions that enhance the security posture of our services.
Responsibilities :
- Design, build, and optimize machine learning models that improve our security posture.
- Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.
- Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.
- Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
- Drive data-informed decision-making by presenting findings that highlight security implications.
- Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
- Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.
Basic Qualifications :
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field of study, and / or equivalent work experience. Master's degree or PhD is a plus.10+ years of experience in building, deploying, and evaluating real-world machine learning solutions.Proficiency in Python, R, SQL, and other relevant programming languages.Experience with data wrangling tools (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub).Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.Strong foundation in statistics, probability, and data modeling techniques.Excellent problem-solving, communication, and collaboration skills.Preferred Qualifications :
Experience working with Amazon Web Services.Experience with Tableau, Power BI, or similar platforms.Experience building anomaly detection models.Knowledge of software security.The Walt Disney Company is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law.
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