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

Join arenaflex, a leading healthcare and retail company, as we revolutionize the way we deliver care and services to our customers. As a Senior Data Scientist, you will play a critical role in driving business growth and innovation through data-driven insights and actionable recommendations.

About arenaflex

arenaflex is a 170-year-old healthcare, pharmacy, and retail leader with a rich history of caring for communities. Our mission is to create more joyful lives through reputed company. With over 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 million customers every day. 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 Responsibilities

As a Senior Data Scientist at arenaflex, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to deliver insights and actionable recommendations. You will also provide consulting support for program improvement and strategic initiatives.

Key Responsibilities:

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

• Understands the business context behind large datasets and develops significant analytical solutions.
• Applies 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. Builds suggestions and optimization algorithmic designs, performs data retrieval, complexity analysis, and clinical computing.
• Programs using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
• Performs machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Builds algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
• Utilizes Cloud Computing on Azure/reputed company, querying in reputed company.
• Utilizes software tools and methodologies reputed company, reputed company integration and delivery, agile methodologies.
• Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Communicates 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, studying 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 effectively 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 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 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

Why Join arenaflex?

* Opportunity to work with a leading healthcare and retail company

• Collaborative and dynamic work environment
• Competitive salary and benefits package
• Professional growth and development opportunities
• Chance to reputed company a meaningful impact on the lives of our customers and patients

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 hearing from you! Apply Job! Apply for this job