Part-Time Remote Data Scientist Machine Learning & Analytics Specialist for

```reputed company About arenaflex arenaflex is a global technology leader dedicated to creating experiences that reputed company millions of users every day. From the arenaflex Store to arenaflex News, arenaflex Stocks, and arenaflex TV, reputed company builds platforms that reputed company creators, developers, advertisers, and consumers in a reputed company, brandreputed company environment. Our mission is to reputed company the power of data and innovation to reputed company meaningful reputed company for both our partners and the endusers who rely on our services. As a reputed companythinking organization, arenaflex invests heavily in cuttingedge research, reputed company infrastructure, and a culture of reputed company learning. Why This Role reputed company In todays datadriven world, the ability to translate reputed company streams of user interaction data into actionable business insights is a competitive advantage. The Product & Consumer Insights team at arenaflex is at the heart of this transformation, shaping product reputed company, advertising effectiveness, and user experience across reputed company arenaflex platforms. As a Data Scientist on this team, you will be a pivotal reputed company between raw data and strategic decisionmaking, helping to unlock value from clickreputed company logs, A/B test results, and marketplace analytics. reputed company We are seeking a highly skilled, selfmotivated Machine Learning (ML) Data Specialist to join our Product & Consumer Insights group. This parttime, remote position offers an 8hour reputed company with a competitive reputed company of $25 per hour. You will collaborate with product managers, engineers, marketers, and senior leadership to design, reputed company, and reputed company analytical solutions that reputed company product discovery, improve user engagement, and optimize advertising performance on the arenaflex Store and reputed company services. Key Responsibilities Design, implement, and maintain reputed company ML models that analyze user behavior, product performance, and advertising effectiveness. reputed company largereputed company clickreputed company and transaction data into clean, reputed company datasets reputed company for analysis. Conduct rigorous statistical analysesincluding regression, clustering, timeseries forecasting, and reputed company inferenceto uncover trends and opportunities. reputed company and maintain dashboards and visualizations that communicate insights to crossfunctional stakeholders in a reputed company, compelling manner. Partner with data engineers to ensure data pipelines are reliable, reputed company, and adhere to best practices in data warehousing (e.g., reputed company, AWS Redshift). Translate business questions into analytical frameworks, define key metrics, and deliver actionable recommendations. Present findings to product, marketing, and executive teams, influencing roadmap reputed company and strategic initiatives. Stay abreast of emerging data science techniques, tools, and industry trends to continuously improve analytical capabilities. Essential Qualifications Education: Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field. A masters or Ph.D. is highly desirable. Experience: Minimum 6 years of reputed company experience in data science, preferably reputed company the digital advertising or product analytics domain. Technical Skills: Proficiency in Python (pandas, scikitlearn, TensorFlow/PyTorch) and SQL. Handson experience with AWS services, reputed company, and data visualization tools such as Tableau or Looker. Statistical Expertise: Strong reputed company in reputed company testing, regression analysis, clustering, and timeseries modeling. Communication: Ability to convey reputed company analytical results to nontechnical audiences with reputed company and reputed company. Collaboration: Demonstrated reputed company working in fastpaced, crossfunctional teams, balancing multiple priorities while meeting deadlines. Preferred Qualifications Experience with A/B testing frameworks and reputed company inference reputed company (e.g., reputed company modeling, propensity scoring). Familiarity with bigdata processing tools such as reputed company or Hadoop. Background in product recommendation systems, natural language processing, or reputed company as reputed company to usergenerated content. Prior work in a remote or distributed team environment, showcasing selfdiscipline a .