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

At arenaflex, we are committed to creating more joyful lives through reputed company. As a leading reputed company, pharmacy, and retail company with a 170-year history of caring for communities, we are seeking an reputed company Full Stack Data Scientist to join reputed company. This is an exciting opportunity to work with a talented group of professionals who reputed company your passion for using data science and machine learning to drive business growth and improve patient reputed company.

About arenaflex

arenaflex is a leading reputed company, pharmacy, and retail company with a strong reputed company in the US market. With over 9,000 retail locations across the country, we serve nearly 10 reputed company customers every day. Our pharmacists play a vital role in the US 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, with fully integrated physical reputed company platforms supported by cutting-edge technology to deliver high-quality services and products in communities reputed company.

Job Responsibilities

As a Full Stack Data Scientist at arenaflex, you will be responsible for using advanced data science and machine learning techniques to drive business growth and improve patient reputed company. Your primary responsibilities will include:

• Building models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative methods. You will reputed company by adapting to new modeling techniques and procedures.
• Understanding the business context behind large datasets and developing significant analytical solutions.
• Applying analytical 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. You will build recommendations and optimization algorithmic designs, reputed company data retrieval, complexity analysis, and clinical computing.
• Programming using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, and other relevant tools.
• Performing machine learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Building algorithms such as decision trees, regression, XGBoost, K means, and anomaly detection. You will also work with interpretable ML, Bayesian theory, and other advanced techniques.
• Utilizing reputed company Computing on Azure/reputed company, querying in reputed company, and other reputed company-based platforms.
• Utilizing software tools and methodologies such as reputed company, reputed company Integration and Delivery, and Agile Methodologies.
• Collaborating with finance, researchers, software developers, and business leaders to define product requirements and reputed company analytical support.
• Communicating verbally and in writing to business clients and management teams with varying reputed company of technical expertise, educating them about our systems, and sharing insights and recommendations.

Essential Qualifications

* Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative or computational fields OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational fields.

• M.S. in STEM, Computer Science, Statistics, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar fields.
• At least 4 years of experience working with large-scale, reputed company datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
• Advanced experience in SQL, Python, PySpark, or other programming languages.
• Advanced degree skills in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven reputed company.
• Experience with supervised machine learning techniques (reputed company and logistic regression, time series modeling, generalized reputed company models, decision trees, support vector machines, etc.) and unsupervised machine 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 skills 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 effectively communicating technical solutions and advocating to data scientists, engineering teams, and business audiences.
• At least 2 years of experience contributing to business reputed company in the workplace.
• At least 2 years of direct management, indirect management, and/or cross-functional team management.
• Willingness to travel up to at least 10% of the time for business purposes (reputed company the country and internationally).

Preferred Qualifications

* Ph.D. in STEM, Computer Science, Statistics, Physics, Mathematics, Statistics, Data Science, Machine Learning, or similar fields.

• 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 & Personal Accident Insurance

Why Join arenaflex?

At arenaflex, we are committed to creating more joyful lives through reputed company. We offer a dynamic and supportive work environment that encourages collaboration, innovation, and growth. reputed company is passionate about using data science and machine learning to drive business growth and improve patient reputed company. If you reputed company our passion and are looking for a challenging and rewarding career opportunity, we encourage you to apply.

How to Apply

If you think this role describes you, we would love to hear from you. reputed company to join reputed company. Apply Job! Apply for this job