Experienced Data Scientist and Senior Data Scientist for Remote Data Entry and Analytics – arenaflex Careers

Introduction to arenaflex arenaflex is a leading technology and logistics company that empowers local economies by connecting people with opportunities. With a mission to grow and empower local economies, we are committed to our customers, merchants, and dashers. Our team is dedicated to making impactful decisions that show empathy for our diverse users, from dashers to merchant partners to consumers. We are seeking skilled Data Scientists and Senior Data Scientists to join our Analytics group, where you will play a critical role in driving business decisions through data-driven insights. About the Team The Analytics group at arenaflex is responsible for manual measurement, strategy, and tactical decision-making across various groups and stages. As a Data Scientist at arenaflex, you will work closely with cross-functional teams to discover insights and turn them into actionable recommendations, using data to inform choices for the entire organization. Our Analytics team is critical to all operational areas at arenaflex, and we are looking for talented individuals to join our team. About the Role As a Data Scientist at arenaflex, you will use your quantitative background to mentor other scientists and dive into large datasets for manual decision-making. You will work on a wide range of exciting challenges, including customer acquisition, fraud and support, marketing, balancing delivery and demand, new city launches, market efficiency, and more. If you enjoy finding patterns amidst chaos and have experience using analytics to impact revenue, growth, operations, or other areas, we are looking for someone like you. Key Responsibilities Use quantitative analysis and presentation of data to look past the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts to use more advanced techniques and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand market dynamics, personal behaviors, and long-term trends Identify and measure levers to help move vital metrics and make recommendations Work backward from expertise and sizing issues to ideating solutions Report against our goals by identifying vital metrics and building executive-facing dashboards to track progress Collaborate with engineering to implement, document, validate, and monitor our logging Essential Qualifications To be successful in this role, you should have: A degree in Math, Physics, Statistics, Economics, Computer Science, or a comparable domain 4+ years of experience in data analytics, consulting, or a related role Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc. Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages, including Matlab, R, SAS, or Python Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau) The ability to take ambiguous issues and solve them in a structured, hypothesis-driven, data-supported way Preferred Qualifications While not required, the following qualifications are preferred: Experience working with large datasets and distributed computing systems Knowledge of machine learning algorithms and techniques Experience with data visualization tools and techniques Strong communication and presentation skills Ability to work in a fast-paced environment and adapt to changing priorities Skills and Competencies To be successful in this role, you should possess the following skills and competencies: Strong analytical and problem-solving skills Ability to work with large datasets and perform complex analysis Excellent communication and presentation skills Ability to work collaboratively with cross-functional teams Strong attention to detail and ability to maintain accuracy in a fast-paced environment Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to helping our employees grow and develop in their careers. As a Data Scientist, you will have the opportunity to work on a wide range of challenging projects, collaborate with experienced professionals, and develop new skills and expertise. We offer a range of training and development programs, including mentorship, coaching, and formal training, to help you achieve your career goals. Work Environment and Company Culture arenaflex is a dynamic and fast-paced work environment that values innovation, creativity, and collaboration. We are a team of passionate and dedicated professionals who are committed to making a positive impact on our customers and communities. Our company culture is built on the following values: Leadership: We empower our employees to take ownership and lead initiatives that drive business results. Customer-obsession: We are dedicated to delivering exceptional customer experiences and building strong relationships with our customers. Learning: We encourage continuous learning and development, and provide opportunities for our employees to grow and develop new skills. Collaboration: We work together as a team to achieve common goals and drive business results. Compensation, Perks, and Benefits arenaflex offers a competitive compensation package, including a salary range of $30-40 per hour. We also offer a range of perks and benefits, including: Comprehensive health benefits Wellness cost reimbursement Paid parental leave Opportunities for career growth and development Collaborative and dynamic work environment Conclusion If you are a motivated and talented Data Scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Data Scientist at arenaflex, you will have the opportunity to work on a wide range of exciting projects, collaborate with experienced professionals, and develop new skills and expertise. Don't miss out on this opportunity to join a dynamic and fast-paced team and contribute to the growth and success of arenaflex. Apply now to take the first step in your career journey with us! Apply for this job