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

Join arenaflex, a leading business and financial data and tools application/site on the planet, with unmatched access to information, insights, instruments, and unique article content. Under a new initiative group, we have re-committed to building and renewing this fundamental, trusted asset for investors and savers. With 100 million unique users every month, arenaflex presents outstanding opportunities for brands to tell their stories and connect with customers. **About arenaflex** arenaflex is a dynamic and innovative company that is revolutionizing the way businesses and individuals access and utilize financial data and tools. Our mission is to provide unparalleled insights, instruments, and unique article content to our users, empowering them to make informed decisions and drive growth. With a strong focus on customer experience, arenaflex is committed to building a community of users who trust and rely on our platform. **A Great Deal About You** You are a data-driven professional with a passion for exploring complex information landscapes. You have a strong background in data analysis, machine learning, and statistical modeling, and are skilled in extracting insights from large datasets. You are an effective communicator, able to distill complex technical concepts into actionable recommendations for business stakeholders. Your reports are always clear, concise, and visually appealing. **Key Responsibilities** As a Senior Data Scientist at arenaflex, you will play a critical role in driving business growth by uncovering key insights and trends in our user data. Your responsibilities will include: * Examining client needs and identifying pain points, joy points, and areas for improvement through data analysis and experimentation * Building models to gain insights on what drives performance in terms of reach, retention, referral, and revenue growth * Creating dashboards and reports that provide actionable insights and recommendations for business stakeholders * Illuminating and refreshing leaders and partners on product performance, plans, and progress towards key metrics * Defining data testing plans and developing strategies to help teams iterate quickly and deliver new features for testing and, if successful, rollout to all users globally * Focusing the product roadmap on achieving key metrics and making ruthless decisions about what to do (and not to do) * Creating and diving deep on buyer experiences and competitive knowledge to help teams drive product development and iteration * Assisting teams in understanding and assimilating customer insights, decisions, and preferences, and how these impact the product/testing roadmap to drive growth * Building strong relationships with product, design, engineering, and marketing teams and empowering them to launch new development initiatives for testing and emphasis * Providing input to product and design teams on the impact of product launches: target launch metrics, A/B testing, post-launch metrics * Distilling all metrics from measurably critical deviations that will affect reach, retention, referral, and revenue metrics * Researching data and monitoring data quality - partnering closely with and providing requirements to the Data Engineering teams that can be acted upon * Outlining business issues into questions that can be answered through data analysis, and translating business needs into requirements * Planning and leading time-sensitive key analysis projects including philosophy development, analysis, key recommendations, and presentation of findings to Senior Leadership **Essential Qualifications** * Mastery in Python and SQL * BS/MS in a highly quantitative field (Software Engineering, Statistics, Math, Research, Data Science) * Experience working in the financial industry * Data analysis, producing insights for customer-centric organizations * Knowledge of query development and data ETL * Experience with big data technologies like Hive, Hadoop, MapReduce, Flash, etc. * AI skills, including cluster analysis, brain networks, predictive modeling * Experience using Statistical methods including correlation analysis, design of experiments, linear and nonlinear regression, calculated regression, inspecting and resampling techniques, time series, and longitudinal analysis * Huge experience, capability in, and enthusiasm for Mobile or potentially Web products * History of proactively setting and completing responsibilities * Mix of customer experiences, competitive insight, and technical knowledge * Shown use of analysis, metrics, and benchmarking to drive decisions * Phenomenal relational, hierarchical, innovative, and communication skills * Collaborative person in driving growth results combined with an optimistic outlook * Strong work ethic and solid guiding principles (integrity, honesty, creativity) * Issue solver who thinks constantly about ways of moving forward * Self-motivated, results-driven, and team-oriented leader * Executioner consumer instincts and data sensibilities * Shown progress in past roles * Enthusiasm for arenaflex and cool products **Work Environment and Company Culture** arenaflex is a dynamic and innovative company that values collaboration, creativity, and customer satisfaction. Our work environment is fast-paced and challenging, with a strong focus on teamwork and open communication. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. **Compensation, Perks, and Benefits** arenaflex offers a competitive salary and benefits package, including: * Competitive hourly rate of $25/hour * Comprehensive health insurance package * 401(k) retirement plan with company match * Paid time off and holidays * Opportunities for professional growth and development * Collaborative and dynamic work environment **How to Apply** If you are a motivated and results-driven professional with a passion for data analysis and customer-centric organizations, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply Job! Apply for this job