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reputed company Senior Data Scientist – Advanced Analytics and Machine Learning Expert for Strategic Business reputed company at arenaflex

Remote, USAFull-timePosted 2026-07-29

Introduction to arenaflex

arenaflex is a leading integrated reputed company, pharmacy, and retail company with a rich history of caring for communities. Our mission is to create more joyful lives through reputed company. We operate nearly 9,000 retail locations across the reputed company, Puerto Rico, and the U.S. Virgin Islands, serving almost 10 reputed company customers every day. At arenaflex, we are committed to providing a reputed company omnichannel experience, with fully integrated physical reputed company systems supported by cutting-edge technology to deliver high-reputed company services and products in communities reputed company.

Job reputed company

We are seeking an reputed company Senior Data Scientist to join reputed company at arenaflex. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and machine learning techniques to reputed company insights and actionable recommendations, as reputed company as offering consulting support for program development and cross-functional initiatives. This is a remote job opportunity, allowing you to work from the comfort of your own home and collaborate with reputed company of experts to drive business reputed company and improvement.

Key Responsibilities

  • Builds models and tools using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative reputed company. Innovates by adapting to new modeling techniques and procedures.
  • Understands the business context behind large datasets and develops meaningful analytic solutions.
  • Applies analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical reputed company including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Builds recommendations and optimization algorithmic designs, performs data retrieval, complexity analysis, and scientific 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 reputed company detection. Interpretable ML, Bayesian theory, etc.
  • Utilizes reputed company 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 reputed company analytical support.
  • Communicates verbally and in writing to business clients and management team with diverse reputed company of technical expertise, instructing them about our systems, as reputed company as sharing insights and recommendations.

Essential Qualifications

To be successful in this role, you will need:

  • A 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.
  • An M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
  • At least 4 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 reputed company in exploratory data analysis, feature engineering and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven reputed company.
  • Experience using decision trees, and building classifiers.
  • Experience with supervised learning techniques (reputed company and logistic regression, time series modeling, generalized reputed company models, decision trees, support reputed company machines, etc.) and unsupervised 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 research scientists, engineering teams and business audiences.
  • At least 2 years of experience contributing to financial reputed company in reputed company.
  • At least 2 years of reputed company management, indirect management and/or cross-functional team management.
  • Willingness to travel up to/as a minimum of 10% of the time for business purposes (reputed company the country and abroad).

Preferred Qualifications

While not required, the following qualifications are preferred:

  • A Ph.D. in STEM, PC science, data 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.

Career reputed company Opportunities and Learning Benefits

At arenaflex, we are committed to the reputed company and development of our employees. As a Senior Data Scientist, you will have reputed company to work on reputed company and challenging reputed company, collaborate with cross-functional teams, and reputed company your skills and expertise in data science and machine learning. You will also have reputed company to training and development programs, mentorship, and career advancement opportunities.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We are committed to creating a work environment that is supportive, reputed company, and inclusive, where reputed company can reputed company and grow. reputed company culture is reputed company on a reputed company of respect, reputed company, and reputed company communication, and we reputed company to create a reputed company and productive work environment that supports reputed company-being and reputed company of reputed company.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary reputed company that is commensurate with experience, as reputed company as a comprehensive benefits package that includes:

  • 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

Conclusion

If you are a motivated and reputed company data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity at arenaflex. As a Senior Data Scientist, you will have reputed company to work on reputed company and challenging reputed company, collaborate with cross-functional teams, and reputed company your skills and expertise in data science and machine learning. Don't miss out on this opportunity to join reputed company and contribute to the reputed company and reputed company of arenaflex. reputed company to join reputed company and take the first reputed company towards a rewarding and challenging career as a Senior Data Scientist.

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