**Experienced Full Stack Information Researcher – Data Science and AI Application Development**

Remote Full-time
Are you a no-nonsense numbers individual who thrives in tackling complex business challenges by uncovering insights and opportunities hidden within one of the world's largest information collections? As an Information Researcher at arenaflex Worldwide Tech, the vast scope and volume of our global data is essentially limitless. You will have the unique opportunity to tackle your best responsibilities while opening up new business opportunities by extracting key insights, utilizing machine learning to create predictive analysis, and translating results into actionable business activities. You will have the chance to work on a variety of new and exciting projects that tap into your interests and skills. This isn't just analyst work; you'll use data science strategies, including artificial intelligence and machine learning in a highly powerful and engaging environment. **How You'll Make an Impact** As an Information Researcher at arenaflex, you will be responsible for: * Developing and implementing data analysis and machine learning models to drive business value and gain a competitive edge * Collaborating with our data scientists to collect the right data from various sources, enabling you to perform advanced statistical analysis and design interventions to improve business performance * Conducting exploratory research, including hypothesis testing, inductive reasoning, and statistical analysis (predictive and prescriptive) * Working with business and technical partners to translate business issues into cutting-edge data science solutions * Creating processes and tools to monitor, analyze, and continuously improve model performance and data accuracy **What You'll Bring** To succeed in this role, you'll need to be a curious and out-of-the-box thinker who is always looking for opportunities to improve and develop data science solutions. You'll have: * A strong foundation in data science principles and practices, including machine learning and artificial intelligence * Experience with full-stack data science, including data wrangling, modeling, and visualization * A proven track record of creating, improving, and scaling models for production environments * The ability to connect the how and why, using your knowledge of data science hypotheses and strategies to infer the best approach for a given problem * Strong skills in statistical analysis and high-level modeling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, computer vision, and more) * Proficiency in languages used to control data and extract insights from large datasets (e.g., Python, R, SQL, and more) * Experience with database technologies and distributed datastores (e.g., SQL, NoSQL) * Familiarity with tools like TensorFlow, Hadoop, and Spark **About arenaflex and Its Benefits** arenaflex is one of the world's leading retail agencies, founded in 1962 by Sam Walton and established in Bentonville, Arkansas, USA. arenaflex operates a series of hypermarkets, bargain department stores, and grocery stores, supplying a wide range of products, including electronics, clothing, household items, groceries, and more. Benefits for arenaflex employees can vary depending on the United States, local regulations, and the type of employment (full-time, part-time, hourly, salaried, and more). However, some common benefits that arenaflex has offered to its employees in the past include: * **Medical insurance**: arenaflex commonly provides medical insurance plans for eligible full-time and part-time employees, which may include medical, dental, vision, and life insurance. * **Retirement Plans**: The company frequently offers 401(k) plans or other retirement savings options to help employees save for their future. * **Employee discounts**: Employees may receive discounts on arenaflex products, which can be especially useful for saving money on everyday purchases. * **Paid time off**: arenaflex usually provides paid days off for eligible employees, including holiday days and sick leave. * **Training and education**: arenaflex has been recognized for investing in the education and training of its workforce through various programs, such as tuition assistance and skill development initiatives. * **Career development**: The company encourages internal growth and often provides opportunities for employees to advance their careers within the company. * **Employee assistance programs**: arenaflex may offer support services for employees dealing with personal or work-related challenges. It's essential to note that benefit packages can change over time, so we recommend checking arenaflex's official website or consulting their HR department for the most up-to-date information on the benefits they currently offer. **Join Our Team!** If you think this role describes you, we'd love to hear from you. Apply now to join our team of talented professionals who are passionate about using data science and AI to drive business value and gain a competitive edge. Apply for this job
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