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Machine Learning Analyst

TechDigital

  • Torrance, CA
  • 30+ days ago

    Highlights

    This role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making. Job SummaryThe Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.

    Numbers & Facts

    LocationTorrance, CA
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Job Summary
    • The Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.
    • This role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making.
    Key Responsibilities
    • Model Development & Optimization Build, train, and deploy machine learning models using Python, TensorFlow, and other ML frameworks.
    • Optimize models for accuracy, scalability, and performance.
    • Data Analysis & Insights Analyze large structured and unstructured datasets to identify trends, patterns, and anomalies.
    • Apply statistical and predictive modeling techniques to generate business insights.
    • Collaboration & Stakeholder Management Work closely with cross-functional teams (engineering, product, business) to translate requirements into ML solutions.
    • Present findings and recommendations to stakeholders in clear, actionable formats.
    • Quality & Standards Ensure adherence to coding standards, documentation, and reproducibility of ML pipelines. Conduct model validation, testing, and monitoring to maintain reliability.
    Qualifications Education:
    • Bachelor's or master's in computer science, Data Science, Statistics, or related field.
    • Experience: Minimum 5+ years in machine learning, data science, or advanced analytics.
    Technical Skills:
    • Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
    • Experience with SQL, data visualization tools (Power BI, Tableau). Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.
    • Familiarity with NLP, deep learning, and big data frameworks (Spark, Hadoop) is a plus.
    Desired Competencies
    • Strong problem-solving and analytical skills.
    • Ability to communicate complex technical concepts to non-technical stakeholders.
    • Experience in agile development and working with distributed teams.
    • Passion for continuous learning and staying updated with ML/AI advancements.

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