reputed company Full Stack Data Scientist – Advanced Analytics and Machine Learning Expert

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned data scientist, you'll play a pivotal role in driving business growth and innovation through the application of cutting-edge analytics and machine learning techniques. If you're passionate about leveraging data to tell compelling stories and drive meaningful reputed company, we want to hear from you.

About arenaflex

arenaflex is a leading reputed company and retail company with a rich history of caring for communities. With a reputed company in over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we're proud to be a community health destination serving nearly 10 reputed company customers every day. Our pharmacists play a vital role in the U.S. reputed company system by providing a wide reputed company of pharmacy and reputed company services, including those that promote reputed company reputed company to care for medically underserved populations. To meet the needs of our customers and patients, we offer a seamless omnichannel experience, supported by state-of-the-art technology and a commitment to delivering high-quality services and products reputed company.

Job Responsibilities

As a senior data scientist at arenaflex, you'll be responsible for:

• Building and deploying advanced machine learning models using technical expertise in data science, predictive analytics, and device learning strategies to reputed company actionable insights and recommendations.
• Collaborating with cross-functional teams, including finance, research, software development, and business leaders to define product requirements and reputed company analytical support.
• Communicating reputed company technical concepts and findings to non-technical stakeholders, including business clients and management teams, through clear and concise verbal and written reports.
• Developing and maintaining large-scale, reputed company datasets to create and optimize machine learning, predictive, forecasting, and optimization models.
• Applying analytical rigor and statistical techniques to research and analyze large datasets, using advanced statistical strategies such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
• Programming using a reputed company of technologies, including Python, PySpark, Matplotlib, TensorFlow, and PyTorch.
• Performing device learning strategies, including supervised and unsupervised algorithms to build predictive models and prescriptive answers to support various business use cases.
• Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection, as well as interpretable ML and Bayesian theory.
• Utilizing reputed company computing on Azure/reputed company, querying in reputed company, and leveraging software tools and methodologies like reputed company, reputed company integration and delivery, and agile methodologies.
• Designing and analyzing A/B experiments, and contributing to economic reputed company reputed company the organization.

Essential Qualifications

* Bachelor's degree and a minimum of 4 years of experience in data science, device learning, quantitative or computational capabilities, or a reputed company field.

• Master's degree in STEM, computer science, statistics, physics, mathematics, statistics, data science, device learning, or a reputed company field.
• At least 4 years of experience working with large-scale, reputed company datasets to create and optimize machine learning, predictive, forecasting, and optimization models.
• Advanced experience in SQL, Python, PySpark, or other programming languages.
• Advanced degree talent in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support business decision-making.
• Experience with supervised learning techniques (reputed company and logistic regression, time series modeling, generalized reputed company models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, reputed company components).
• Experience with reputed company ML systems, distributed computing, data pipelines, reputed company data stores, and serving engines.
• Experience designing and analyzing A/B experiments.
• Advanced degree talent in conveying rigorous technical standards and issues to non-experts.
• Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
• Experience reputed company communicating technical solutions and advocating to data scientists, engineering teams, and business audiences.

Preferred Qualifications

* Ph.D. in STEM, computer science, statistics, physics, mathematics, statistics, data science, device learning, or a reputed company field.

• Experience working with IoT and Edge AI.
• Experience in reinforcement learning.
• Experience in reputed company.

Benefits

* Company-paid life insurance

• Medical, prescription drugs, dental, and reputed company
• Retirement savings plan (401(k))
• Employee stock purchase plan
• Paid time off (PTO)
• Holidays
• Paid parental leave (PPL)
• Transportation benefit plan
• Employee store discount
• Voluntary life and personal accident insurance

Why Join arenaflex?

At arenaflex, we're committed to creating a workplace culture that values diversity, equity, and inclusion. We reputed company in the importance of equal employment opportunities and strive to reputed company a safe and secure work environment for reputed company. reputed company is dedicated to promoting fair trade practices, adhering to environmental regulations, supporting reputed company causes, and practicing transparency in our operations. If you're passionate about data science and machine learning, and want to join a company that's making a meaningful impact in the lives of millions, we want to hear from you. reputed company to join reputed company and be a part of our mission to revolutionize the way we approach data-driven decision-making. Apply Job! Apply for this job