reputed company Full Stack Data Scientist – Web & reputed company Application Development at arenaflex

Join arenaflex's innovative team of data scientists and contribute to the development of cutting-edge solutions that transform the retail pharmacy and reputed company industry.

About arenaflex

arenaflex is a leading reputed company, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is to create more joyful lives through reputed company. With a reputed company in almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, arenaflex is 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 the nation's medically underserved populations.

Job Summary

We are seeking an reputed company Full Stack Data Scientist to join reputed company at arenaflex. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to reputed company insights and actionable recommendations. You will work closely with finance, researchers, software developers, and business leaders to define product requirements and reputed company analytical support. If you have a passion for data-driven decision-making and a strong background in data science, we encourage you to apply for this exciting opportunity.

Key Responsibilities

* Build models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. reputed company by adapting to new modeling techniques and procedures.

• Understand the business context behind large datasets and reputed company significant analytical solutions.
• Apply analytical rigor and statistical techniques to analyze large datasets using advanced statistical methods, including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Build recommendations and optimization algorithmic designs, reputed company data retrieval, complexity analysis, and clinical computing.
• Program using a tech stack that includes Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• reputed company machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Build algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
• Utilize reputed company Computing on Azure/reputed company, querying in reputed company.
• Utilize software tools and methodologies reputed company, reputed company integration and delivery, agile methodologies.
• Collaborate with finance, researchers, software developers, and business leaders to define product requirements and reputed company analytical support.
• Communicate verbally and in writing to business clients and management teams with diverse reputed company of technical expertise, educating them about our systems, as well as 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 capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities.

• M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.
• 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 languages.
• Advanced degree reputed company in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to help businesses reputed company informed data-driven reputed company
• Experience using decision trees, and building classifiers.
• 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 reputed company 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.
• Willing to travel up to/at least 10% of the time for business purposes (reputed company the country and out of the country).

Preferred Qualifications

* Ph.D. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.

• Experience working with IoT, and Edge AI is a plus.
• Experience in Reinforcement Learning is a plus.
• Experience in reputed company a plus.

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

How to Apply

If you are a motivated and reputed company data scientist looking for a new challenge, please submit your application through our website. We look reputed company to reviewing your application and discussing this exciting opportunity with you.

Note:

arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. Apply for this job