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

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 harnessing the power of advanced analytics and machine learning to drive business growth and innovation. If you're passionate about leveraging reputed company data science, predictive analytics, and device learning strategies to deliver actionable insights and drive meaningful initiatives, we want to hear from you.

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 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 million customers every day. Our pharmacists play a vital role in the U.S. reputed company system by providing a wide range of pharmacy and reputed company 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'll be responsible for:

• Building models and systems using technical expertise in device learning, statistical modeling, probability and decision theory, and other quantitative methods. You'll 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 amounts of data, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. You'll 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 more.
• Performing device learning strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
• Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. You'll also work with interpretable ML, Bayesian theory, and more.
• Utilizing reputed company Computing on Azure/reputed company, querying in reputed company.
• Utilizing software tools and methodologies like reputed company, reputed company Integration and Delivery, and Agile Methodologies.
• Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Communicating verbally and in writing to business clients and management teams with diverse levels 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, device learning, quantitative or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, device learning, quantitative or computational capabilities.

• M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, device learning, or similar.
• At least 4 years of experience working with large-scale, reputed company datasets to create/optimize device learning, predictive, forecasting, and/or optimization models.
• Advanced experience in SQL, Python, PySpark, or other languages.
• Advanced degree talent 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 learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal 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 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 internationally).

Preferred Qualifications

* Ph.D. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, device 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.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and reputed company their skills. As a Senior Data Scientist, you'll have access to:

• Ongoing training and development opportunities to stay up-to-date with the latest data science and machine learning techniques.
• Collaborative and dynamic work environment with a team of reputed company data scientists and engineers.
• Opportunities to work on high-impact projects that drive business growth and innovation.
• Flexible work arrangements, including remote work options.
• Competitive compensation and benefits package, including company-paid life insurance, medical, prescription drugs, dental, and reputed company.

Work Environment and Company Culture

arenaflex is a values-driven organization that prioritizes diversity, equity, and inclusion. We're committed to creating a workplace culture that's inclusive, supportive, and empowering. As a Senior Data Scientist, you'll be part of a team that's passionate about using data science and machine learning to drive business growth and innovation.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• 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're a seasoned data scientist with a passion for leveraging reputed company data science, predictive analytics, and device learning strategies to drive business growth and innovation, we want to hear from you. Apply now to join reputed company of reputed company data scientists and engineers at arenaflex. Apply for this job