**Experienced Full Stack Data Scientist – Web & Cloud Application Development**

At arenaflex, we're revolutionizing the way people interact with information and each other. As a pioneer in the tech industry, we're committed to creating a safe and open platform for users to share their thoughts, ideas, and experiences. With over 82M+ daily active users, we're one of the web's largest sources of data, and we're looking for talented individuals to join our team. **About arenaflex** arenaflex is a dynamic and adaptable company that values innovation, creativity, and collaboration. We're passionate about building a culture that fosters growth, learning, and fun. Our team is made up of talented individuals from diverse backgrounds and industries, and we're committed to creating a workplace that's inclusive, supportive, and challenging. **Job Summary** We're seeking an experienced Full Stack Data Scientist to join our Safety team at arenaflex. As a key member of our data science group, you'll play a critical role in driving business outcomes through data-driven insights and recommendations. You'll work closely with cross-functional teams to design, develop, and deploy data pipelines and tools that meet the evolving needs of our business. If you're passionate about building high-quality data products, driving technical innovation, and collaborating with a talented team, then we want to hear from you. **Key Responsibilities** * **Data Pipeline Design and Development**: Collaborate with data scientists, engineers, and product managers to design and develop data pipelines that meet the evolving needs of our business. * **Data Quality and Reliability**: Review and improve existing data pipelines to ensure high-quality, reliable, and transparent data. * **Metric Development and Reporting**: Develop and maintain metrics and reporting dashboards to support business decision-making and transparency. * **ETL and Automation**: Design and implement ETL systems and automation workflows to increase data pipeline efficiency and scalability. * **Collaboration and Communication**: Work closely with cross-functional teams to ensure data-driven insights and recommendations are integrated into business decisions. * **Technical Leadership**: Lead technical discussions and provide guidance on data science and engineering best practices. **Essential Qualifications** * **Bachelor's Degree**: In Computer Science, Mathematics, Statistics, or a related field. * **4+ Years of Experience**: In data science, engineering, or a related field, with a focus on data pipelines, ETL, and automation. * **Python and SQL**: Proficiency in Python and SQL, with experience working with large-scale ETL frameworks. * **Data Modeling and Visualization**: Experience with data modeling and visualization tools, such as Tableau, Power BI, or D3.js. * **Communication and Collaboration**: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. **Preferred Qualifications** * **Master's Degree**: In Computer Science, Mathematics, Statistics, or a related field. * **Experience with Cloud Platforms**: Experience working with cloud platforms, such as AWS, GCP, or Azure. * **Familiarity with Data Warehousing**: Familiarity with data warehousing concepts and technologies, such as Google BigQuery or Amazon Redshift. * **Experience with Agile Methodologies**: Experience working with agile methodologies, such as Scrum or Kanban. **Benefits** * **Comprehensive Healthcare Benefits**: Medical, dental, and vision insurance for you and your family. * **401(k) Matching**: Employer-matched 401(k) plan to help you save for retirement. * **Flexible Work Arrangements**: Flexible work arrangements, including remote work options and flexible hours. * **Professional Development**: Opportunities for professional development and growth, including training and education programs. * **Family Planning Support**: Support for family planning, including parental leave and adoption benefits. * **Paid Time Off**: Paid time off for vacation, sick leave, and holidays. * **Stock Options**: Stock options and equity participation in arenaflex. * **Wellness Programs**: Wellness programs, including fitness classes, meditation sessions, and mental health support. **Compensation** * **Base Salary**: $120,000 - $150,000 per year, depending on experience and qualifications. * **Bonus and Stock Options**: Eligible for bonus and stock options, based on performance and company goals. * **Benefits and Perks**: Comprehensive benefits and perks, including healthcare, 401(k), and paid time off. **How to Apply** If you're passionate about data science, engineering, and collaboration, and you're looking for a challenging and rewarding role, then we want to hear from you. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job