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    Lead Data Scientist - Bellevue, United States - HARMAN INTERNATIONAL INDUSTRIES INC

    HARMAN INTERNATIONAL INDUSTRIES INC
    HARMAN INTERNATIONAL INDUSTRIES INC Bellevue, United States

    2 weeks ago

    Default job background
    Description
    and Requirements

    About the Role:

    • Work with customer stakeholder to design and implement machine learning methods per requirement. Maintain clear understanding of strategic goals, business challenges and customer needs.

    Your Team:

    • Large hybrid team of about 40 people. Cutting edge niche technology. Niche business domain risk and and compliance

    What You Will Do:
    Data Analysis and Modeling: * Utilize advanced statistical techniques to analyze complex datasets. * Develop and implement machine learning models for predictive analytics, classification, clustering, and optimization. * Perform feature engineering and selection to improve model performance. * Conduct thorough evaluations of model performance and interpret results.


    GenAI Expertise:

    • Design and develop algorithms inspired by principles of genetics and evolution for problem-solving.
    • Implement genetic algorithms, genetic programming, and other evolutionary computation techniques to optimize solutions.
    • Tune and evolve algorithms to adapt to changing environments or objectives.

    Algorithm Development:

    • Develop custom algorithms tailored to specific business needs or research objectives.
    • Research and experiment with cutting-edge techniques in data science and artificial intelligence, including advancements in GenAI.

    Data Preprocessing and Cleaning:

    • Clean, preprocess, and normalize data for analysis, ensuring data quality and integrity.
    • Handle missing data and outliers effectively to improve model robustness.

    Model Deployment and Integration:

    • Deploy machine learning models into production environments.
    • Integrate models into existing software systems or platforms.
    • Collaborate with software engineers to ensure seamless integration and scalability.

    What You Need:

    • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, Applied Statistics, or related field. 10 years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar.
    • Experience in text GenAI and LLM.
    • Deep understanding of probability, statistics, machine learning, anomalies/outliers' detection, data correlation/feature analysis, machine learning models.
    • Strong fundamentals in problem solving, algorithm design, and model building.
    • Excellent Code writing capability in Python and familiarity with relevant ML packages.

    What is Nice to Have:

    • Master's or PhD in Mathematics, Applied Statistics, or related field.

    What Makes you Eligible:

    • Be willing to work in an office at Bellevue, WA.
    • Successfully complete a background investigation and drug screen as a condition of employment.
    • Solid experience in data science, GenAI. Meet the core requirements in the JD.

    What We Offer:

    • The standard base salary range for this position is $115,000 - $125,000/Year.
    • Access to employee discounts on world-class HARMAN/Samsung products (JBL, Harman Kardon, AKG, etc.).
    • Inclusive and diverse work environment that fosters and encourages career development opportunities.
    • Professional development opportunities through HARMAN University's business and leadership academies.
    • Internal talent management leadership acceleration programs. "Be Brilliant" employee recognition and rewards program.
    • Scholarship programs for employee family members.
    HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national... For full info follow application link.

    HARMAN is an Equal Opportunity /Affirmative Action employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or Protected Veterans status.

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