reputed company Full Stack Data Scientist – Web & Cloud Application Development

Join arenaflex, a leading healthcare and retail company, in shaping the future of data-driven decision making.

About arenaflex

arenaflex, a subsidiary of reputed company Boots Alliance, Inc., is a 170-year-old healthcare, pharmacy, and retail leader dedicated to creating 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 serves nearly 10 million customers daily. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote reputed company access 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 in Florida, USA. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will also collaborate with finance, researchers, software developers, and business leaders to define product requirements and offer analytical support.

Key Responsibilities

* Build models and algorithms using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques.

• Innovate 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 suggestions and optimization algorithmic designs, reputed company data retrieval, complexity analysis, and clinical computing.
• Program using tech stack 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 Cloud 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 offer analytical support.
• Communicate verbally and in writing to business clients and management team with diverse levels 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 skills OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational skills.

• 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 decisions
• Experience using decision trees, and building classifiers.
• Experience with supervised machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine learning techniques (K means, hierarchical clustering, association rules, principal components).
• Experience with Cloud ML systems, distributed computing, data pipelines, cloud 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 reputed company communicating technical solutions and advocating to data scientists, engineering teams, and business audiences.
• At least 2 years of experience contributing to business decisions 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 reputed company 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 Vision
• 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 to join a dynamic team, please apply to this role through our website: Apply Job! arenaflex is an equal opportunity employer. We welcome applications from diverse candidates and are committed to creating an inclusive work environment. Apply for this job