Job Description
Introduction to arenaflex arenaflex, a leading organization in the industry, has been at the forefront of innovation and customer satisfaction since its inception. With a rich history spanning over a century, arenaflex has evolved from a small store to a global brand, renowned for its commitment to excellence and dedication to its customers. As a pioneer in the field, arenaflex continues to push boundaries, leveraging cutting-edge technology and data-driven insights to drive business growth and development.
We are now seeking an experienced
Senior Data Scientist to, contributing to the development of our data analysis and artificial intelligence capabilities. Job Overview
The
Senior Data Scientist will be responsible for applying advanced data science, predictive analytics, and machine learning techniques to provide insights and strategic recommendations, as well as offering consulting support to application development and cross-functional initiatives. This role requires a highly skilled professional with a strong background in data analysis, machine learning, and programming languages such as Python, PySpark, and TensorFlow.
The ideal candidate will have a proven track record of working with large-scale, complex datasets to develop and improve AI, predictive, and prescriptive models. Key Responsibilities Construct models and tools using specialized knowledge in machine learning, statistical modeling, probability, and decision theory, and other quantitative procedures. Enhance by adapting to new modeling methods and systems. Analyze large datasets to identify business insights and develop meaningful logical solutions. Apply scientific rigor and statistical techniques to analyze large datasets, using advanced statistical methods such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
Develop recommendations and improvement algorithmic plans, perform data retrieval, complexity analysis, and scientific computing. Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and so on. Perform machine learning procedures, supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases. Assemble algorithms such as decision trees, regression, XGBoost, K means, anomaly detection. Interpretable ML, Bayesian theory, and so on.
Use Distributed computing on Azure/Databricks, querying in Snowflake. Use software tools and techniques GitHub, Continuous integration and delivery, agile processes. Collaborate with finance, analysts, software developers, and business leaders to define product requirements and offer scientific support. Communicate verbally and in writing to business clients and leadership team with varying levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.
Essential Qualifications Bachelor's degree and at least 4 years of experience in data science, machine learning, quantitative or computational capabilities OR High School/GED and at least 7 years of experience in data science, machine learning, quantitative or computational capabilities. M.S. in STEM, computer science, information systems, physics, mathematics, statistics, data science, machine learning, or comparable. At least 4 years of experience working with large-scale, complex datasets to develop/enhance AI, predictive, prescriptive, or optimization models.
Advanced experience with SQL, Python, PySpark or other languages. Advanced skill in exploratory data analysis, feature engineering and selection, identifying patterns, analyzing distributions, visualizing results, and extracting insights to help business make informed data-driven decisions. Experience using decision trees, building classifiers. Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components, etc.).
Experience with Cloud ML platforms, distributed computing, data pipelines, cloud data stores, and serving engine. Experience designing and analyzing A/B tests. Advanced skill in conveying thorough technical concepts and considerations to non-experts. Experience working in a fast-paced environment and working with ambiguity, prioritizing needs, and delivering results. Experience effectively communicating technical solutions and advocating to research scientists, engineering teams, and business audiences.
At least 2 years of experience contributing to financial decisions in the workplace. At least 2 years of direct management, indirect management, and/or cross-functional team leadership. Willing to travel up to 10% of the time for business purposes (within state and out of state). Preferred Qualifications Ph.D. in STEM, computer science, information systems, physics, mathematics, statistics, data science, machine learning, or comparable. Experience working with IoT, and Edge AI is a plus. Experience in Support Learning is a plus.
Experience in Healthcare is a plus. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to the growth and development of our employees. As a
Senior Data Scientist, you will have access to a wide range of training and development opportunities, including workshops, conferences, and online courses. You will also have the chance to work with a talented team of professionals, sharing knowledge and expertise to drive business success. With a strong focus on innovation and customer satisfaction, arenaflex offers a dynamic and supportive work environment that encourages creativity, collaboration, and growth.
Work Environment and Company Culture arenaflex is a company that values diversity, equity, and inclusion. We believe that a diverse workforce is essential to driving innovation and business success. Our company culture is built on a foundation of respect, empathy, and open communication, with a strong focus on teamwork and collaboration. We offer a flexible and supportive work environment that encourages work-life balance, with a range of benefits and perks to support the well-being of our employees.
Compensation, Perks, and Benefits arenaflex offers a competitive salary range of $20-$30 per hour, depending on experience. We also offer a range of benefits, including health insurance, retirement plans, and paid time off. Our employees enjoy a range of perks, including flexible working hours, remote work options, and access to cutting-edge technology and tools. With a strong focus on employee satisfaction and well-being, arenaflex is committed to providing a supportive and rewarding work environment that encourages growth, development, and success.
Conclusion If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. With a strong focus on innovation, customer satisfaction, and employee growth, we offer a dynamic and supportive work environment that is perfect for talented professionals like you. Don't miss out on this chance to and contribute to the development of our data analysis and artificial intelligence capabilities. and take the first step towards a rewarding and successful career at arenaflex.