Software Engineer - Python with ML and Data Analytics

Role Overview: As a Python Data Analytics Engineer at HARMAN Automotive, you will play a crucial role in working with big data, performing machine learning, and analyzing data using Python. You will engineer audio systems and integrated technology platforms to enhance the driving experience by combining ingenuity, in-depth research, collaboration, design, and engineering excellence. Key Responsibilities: - Work with big data using Python libraries like PySpark, NumPy, and Pandas. - Develop and implement machine learning models to analyze data and drive insights. - Analyze complex data sets to identify trends, patterns, and correlations. - Develop and maintain Python-based data analytics scripts and tools. - Create visualizations to communicate insights and findings to stakeholders. Qualifications Required: - Hands-on experience with Python programming. - Strong knowledge of data analytics libraries like PySpark, NumPy, and Pandas. - Experience with machine learning algorithms and techniques. - Ability to work with large-scale data sets. - 3 to 6 years of experience in data analytics and Python development. About HARMAN: HARMAN is committed to providing a collaborative and dynamic work environment with opportunities for professional growth and development. Employees can expect a competitive salary and benefits package, access to cutting-edge technologies, and recognition for outstanding performance. HARMAN values diversity, encourages employees to share their ideas, and offers added opportunities for training and continuing education. (Note: Any additional details of the company were not explicitly mentioned in the job description.),