**Experienced Full Stack Data Scientist – Business Analytics and Machine Learning**

At arenaflex, we're pushing the boundaries of innovation and technology to create a more sustainable and connected world. As a leader in the electric vehicle and clean energy industry, we're committed to empowering our employees to drive business growth and success through data-driven insights and decision-making. We're now seeking an experienced and talented Full Stack Data Scientist to join our Business Examination group and contribute to our mission of creating values from our information. **About arenaflex** arenaflex is a pioneering company that's revolutionizing the way we think about energy and transportation. With a strong focus on innovation and sustainability, we're committed to creating a better future for our customers, employees, and the environment. Our Business Examination group plays a critical role in empowering an information-driven business and creating values from our information. We're looking for a talented and motivated individual to join our team and help us drive business growth and success through data science and machine learning. **Job Summary** We're seeking an experienced Full Stack Data Scientist to lead key cross-functional projects for both our energy and car business using data science tools and methods to drive business process optimizations and support sales and service procedures. As a Full Stack Data Scientist, you'll be responsible for adding to all phases of data science projects, from interpreting a complex business issue into a data science issue to performing data analysis and visualization, and providing solutions to the business. You'll also create and maintain complex data pipelines, collaborate with Information Examiners, Information Designers, AI (ML) Specialists, and Product Directors, and communicate significant insights to all levels of the organization. **Key Responsibilities** * Add to every one of the phases of information science projects: from interpreting a complicated business issue into an information science issue to performing information examination and displaying, and giving answers for the business. * Create and keep up with complex information pipelines, supporting our group's main goal in democratizing information and empowering an information driven association, collaborating with Information Examiners, Information Designers, AI (ML) Specialists, and Item Directors. * Really impart significant experiences to all levels of the association with changing level of information science understanding and foundations. * Team up intimately with authority, designing, and different partners to convey significant business bits of knowledge. * Apply different ML, progressed examination and perception procedures to different datasets across the organization. **What You'll Bring** * or on the other hand 2+ long periods of identical involvement with a quantitative field (for example Information Science, Applied Arithmetic, Business Investigation, Activities Exploration, Insights, Software engineering, Computerized reasoning, Financial matters or Designing). * Results situated areas of strength for with keenness and inside and out information science abilities. * Solid composed, verbal, and relational abilities. Capacity to convey actually at all levels in the association. * Demonstrated history of removing information bits of knowledge and building ML models and, particularly in business examination (or related) area. Uplevel group's ML capacities in at least one significant regions (for example estimating, prescriptive displaying, unmistakable investigation, or Normal Language Handling (NLP)). * Master in SQL and Python, particularly in standard information science libraries and structures like pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, and so on. * Capability in at least one perception apparatuses, for example, Scene, Streamlit and so on. * Master in information fighting and breaking down gigantic and complex datasets, organized or unstructured. * Capacity to self-start and work freely in an unstructured climate as well as explore (and carry design to) vagueness, carrying an issue from 0 to 1. * Amazing issue outlining, critical thinking and task the board abilities as well as capacity to rapidly take a different path. * Capacity to oversee and focus on numerous undertakings. **What We Offer** * Competitive salary of $25/hour * Opportunity to work with a pioneering company in the electric vehicle and clean energy industry * Collaborative and dynamic work environment * Opportunities for career growth and professional development * Comprehensive benefits package, including health insurance, retirement plan, and paid time off * Flexible work arrangements, including remote work options * Access to cutting-edge technology and tools * Collaborative and supportive team environment **How to Apply** If you're a motivated and talented individual with a passion for data science and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! **About arenaflex** arenaflex is an equal opportunity employer committed to diversity and inclusion. We welcome applications from qualified candidates of all backgrounds and perspectives. arenaflex is a proud supporter of diversity, equity, and inclusion initiatives and is committed to creating a workplace that is welcoming and inclusive for all employees. **arenaflex is an equal opportunity employer** arenaflex is committed to providing a workplace that is free from discrimination and harassment. We welcome applications from qualified candidates of all backgrounds and perspectives. arenaflex is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, disability, or any other protected characteristic. **arenaflex is a proud supporter of diversity, equity, and inclusion initiatives** arenaflex is committed to creating a workplace that is welcoming and inclusive for all employees. We believe that diversity, equity, and inclusion are essential to our success and are committed to fostering a culture of respect, empathy, and understanding. Apply for this job