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

At arenaflex, we're on a mission to revolutionize the way we approach data-driven business decisions. Our Business Examination group is at the forefront of this journey, empowering an information-driven business and creating value from our data. As a key member of this team, you'll play a vital role in driving business process optimizations and supporting sales and service procedures using our data. We're seeking an experienced and skilled data scientist who can lead cross-functional projects for both our energy and automotive businesses, leveraging data science tools and methods to drive business process automations and support sales and service procedures. If you're passionate about data science, machine learning, and business analytics, we want to hear from you. **What You'll Do** As a data scientist at arenaflex, you'll be responsible for: * Contributing to all phases of data science projects, from interpreting complex business issues into data science problems to performing data analysis and visualization, and providing solutions to the business. * Creating and maintaining complex data pipelines, supporting our team's goal in democratizing data and empowering an information-driven association, collaborating with Data Analysts, Data Engineers, AI (ML) Specialists, and Product Managers. * Effectively communicating significant insights to all levels of the organization with varying levels of data science understanding and expertise. * Collaborating closely with leadership, design, and other partners to deliver significant business insights. * Applying various ML, advanced analytics, and visualization techniques to diverse datasets across the organization. **What You'll Bring** * 2+ years of experience in a quantitative field (e.g., Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Software Engineering, Computer Science, or Finance). * Results-driven mindset with expertise in data science and strong analytical skills. * Excellent written, verbal, and interpersonal skills, with the ability to communicate effectively at all levels of the organization. * Proven track record of extracting insights and building ML models, particularly in business analytics (or related) areas. * Ability to uplevel our team's ML capabilities in at least one significant area (e.g., estimation, predictive modeling, descriptive analytics, or Natural Language Processing (NLP)). * Master's degree in SQL and Python, particularly in standard data science libraries and frameworks like pandas, NumPy, scikit-learn, TensorFlow/PyTorch, PySpark, etc. * Proficiency in at least one visualization tool, such as Tableau, Streamlit, etc. * Expertise in data wrangling and analyzing massive and complex datasets, structured or unstructured. * Ability to self-start and work independently in an unstructured environment, as well as navigate ambiguity and bring a problem from 0 to 1. * Exceptional problem-solving, critical thinking, and project management skills, with the ability to quickly pivot and adapt to changing circumstances. * Ability to manage and prioritize multiple projects. **Why Join arenaflex?** At arenaflex, we offer a dynamic and supportive work environment that fosters growth, innovation, and collaboration. As a data scientist, you'll have the opportunity to work on high-impact projects, develop your skills, and make a meaningful contribution to our business. Our team is passionate about data-driven decision-making and is committed to empowering an information-driven association. **What We Offer** * Competitive salary: $25/hour * Comprehensive benefits package, including medical, dental, and vision insurance * Generous paid time off and holidays * Opportunities for professional growth and development * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance **How to Apply** If you're a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to our application portal. We can't wait to hear from you! Apply Now! For more information about arenaflex and our current job openings, please visit our website. Apply for this job