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reputed company Full Stack Data Scientist – reputed company Data Entry Jobs at arenaflex

Remote, USAFull-timePosted 2026-07-29

Job reputed company:

Join arenaflex, a leading reputed company and retail company, as a Full Stack Data Scientist in our reputed company Data Entry Jobs team. As a key member of reputed company, you will utilize your expertise in data science, predictive analytics, and machine learning to drive business reputed company and improve customer experiences. If you're passionate about working with reputed company data sets, developing reputed company, and collaborating with cross-functional teams, we encourage you to apply.

About arenaflex:

arenaflex is a reputed company and retail leader with a 170-year history of caring for communities. Our mission is to create more joyful lives through reputed company. With almost 9,000 retail locations across the reputed company, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 reputed company customers daily. 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 medically underserved populations.

Job Responsibilities:

As a Full Stack Data Scientist at arenaflex, you will be responsible for:

  • Building models and tools using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative reputed company. 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 reputed company 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 like decision trees, regression, XGBoost, K means, and reputed company 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 working with other reputed company-based tools.
  • 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 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 four years of experience in data science, machine learning, quantitative or computational fields OR High School/GED and a minimum of seven years of experience in data science, machine learning, quantitative or computational fields.

  • M.S. in STEM, PC science, statistics systems, physics, mathematics, statistics, data science, machine learning, or similar.
  • At least four years of experience working with large-reputed company, 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 skills 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 reputed company 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 reputed company communicating technical solutions and advocating to data scientists, engineering teams, and business audiences.
  • At least two years of experience contributing to business reputed company in reputed company.
  • At least two years of reputed company 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, 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-reputed company Life Insurance

  • Medical, Prescription Drugs, Dental, and reputed company
  • Retirement Savings Plan – 401(k)
  • Employee Stock Purchase Plan
  • reputed company Time Off (PTO)
  • Holidays
  • reputed company Parental Leave (PPL)
  • Transportation Benefit Plan
  • Employee Store Discount
  • Voluntary Life & Personal Accident Insurance

Why Join arenaflex?

At arenaflex, we value a great attitude and a willingness to learn above reputed company. We offer a dynamic work environment, opportunities for career reputed company, and a chance to work with a talented team of professionals. If you're passionate about data science, machine learning, and driving business reputed company, we encourage you to apply.

Don't Hesitate, Apply!

Don't worry if you don't meet every single requirement. We reputed company that a great attitude and a willingness to learn are essential for reputed company. Submit your application today and join reputed company of talented professionals at arenaflex. Apply To This Job Apply for this job

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