Experienced Data Scientist and Machine Learning Engineer – Remote Career Opportunity in Data Analysis and Modeling at arenaflex

Introduction to arenaflex arenaflex is a leading organization in the private sector, dedicated to providing innovative solutions and exceptional services to its clients. With a strong commitment to excellence and a passion for making a positive impact, arenaflex is an ideal place to grow your career and make a difference. As a data-driven company, arenaflex recognizes the importance of data analysis and modeling in driving business success, and is seeking a highly skilled Data Scientist and Machine Learning Engineer to join its team. Job Overview In this exciting role, you will have the opportunity to work on complex data analysis and modeling projects, developing and implementing machine learning algorithms and statistical models to drive business growth and improvement. As a key member of the arenaflex team, you will be responsible for building and optimizing machine learning models, working with large datasets, and collaborating with cross-functional teams to drive business outcomes. Key Responsibilities Build and optimize machine learning models to enhance the performance of driver abuse and driver seek algorithms in arenaflex's Last Mile group Drive weekly reputation updates and handle ad-hoc requests or queries associated with driver abuse model and escalations from business stakeholders Incorporate missing PO in driver abuse model and implement changes to the model as required Optimize and develop driver abuse models used by the Trust & Safety group to flag drivers and take necessary actions based on the output of the model Automate the driver abuse pipeline for daily and hourly reports by including additive models Build new store release demand prediction pipeline using ensemble methods, time series forecasting, and regression algorithms to predict order quantity in real-time and estimate driver supply needed to meet the demand Run and maintain hourly driver abuse model, daily model, and driver abuse dashboards Create effective reporting and dashboards using data visualization tools such as Python libraries, GGplot, Matplotlib, Ploty, and Tableau to generate suitable graphical representations of data and model outcomes Support client requirements and design data representations for complex data Develop end-to-end predictive models for product improvements and optimization of existing features Essential Qualifications To be successful in this role, you will need to have a Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, and at least 2 years of experience in an analytics or related field. You will also need to have experience with model building and optimization, machine learning and deep learning algorithms, predictive, statistical, and analytical modeling, and exploratory data analysis techniques and strategies. Preferred Qualifications In addition to the essential qualifications, preferred candidates will have experience with parametric and non-parametric distributions, model evaluation and validation, model fit, and testing, tuning, and validation strategies. You will also have experience with the impact of variables and functions on model performance, and with creating effective reporting and dashboards using data visualization tools. Experience with database technology, code improvement and testing, and coding languages such as SQL, Python, and Pandas is also preferred. Skills and Competencies To be successful in this role, you will need to have strong technical skills, including experience with machine learning and deep learning algorithms, statistical modeling, and data visualization tools. You will also need to have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders. Strong problem-solving skills, with the ability to analyze complex data sets and develop creative solutions, are also essential. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to helping our employees grow and develop their careers. As a Data Scientist and Machine Learning Engineer, you will have access to a range of training and development opportunities, including workshops, conferences, and online courses. You will also have the opportunity to work on complex and challenging projects, and to collaborate with experienced professionals in the field. Work Environment and Company Culture arenaflex is a dynamic and innovative company, with a strong commitment to excellence and a passion for making a positive impact. Our work environment is collaborative and supportive, with a focus on teamwork and open communication. We believe in recognizing and rewarding outstanding performance, and in providing our employees with the opportunities and resources they need to succeed. Compensation, Perks, and Benefits arenaflex offers a competitive salary range of $30 - $40 per hour, as well as a range of perks and benefits, including health benefits, financial benefits, and paid time off. We also offer a flexible, hybrid work arrangement, with the opportunity to work remotely and to balance your work and personal life. Conclusion If you are a highly skilled and motivated Data Scientist and Machine Learning Engineer, with a passion for working with complex data sets and developing innovative solutions, we encourage you to apply for this exciting opportunity at arenaflex. With its commitment to excellence, innovative approach, and supportive work environment, arenaflex is the ideal place to grow your career and make a positive impact. Apply now to join our team and take the first step towards an exciting and rewarding career in data analysis and modeling. Apply for this job