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

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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 driving business growth and innovation through the application of cutting-edge data science, predictive analytics, and machine learning techniques. If you're passionate about leveraging data to tell compelling stories and drive business reputed company, we want to hear from you!

About arenaflex

arenaflex is a leading reputed company and retail company with a rich history of caring for communities. With a reputed company in 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 reputed company customers every day. 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 Senior Data Scientist at arenaflex, you'll be responsible for applying advanced data science, predictive analytics, and machine learning techniques to drive business growth and innovation. Your key responsibilities will include:

  • Building models and algorithms using technical expertise in machine learning, statistical modeling, and data engineering to reputed company insights and actionable recommendations
  • Developing significant analytic solutions that understand the business context behind large datasets
  • Applying analytical rigor and statistical techniques to research large quantities of data, using advanced statistical methods including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining
  • Building suggestions and optimization algorithmic designs, performing data retrieval, complexity analysis, and medical computing
  • Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
  • Performing data engineering strategies, and supervised and unsupervised algorithms to build predictive models and prescriptive answers to support diverse business use cases
  • Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
  • Utilizing reputed company Computing on Azure/reputed company, querying in reputed company
  • Utilizing software tools and methodologies reputed company, reputed company integration and delivery, 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 team with diverse reputed company 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 capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative or computational capabilities

  • 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 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 vector 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 reputed company 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 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

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and reputed company their careers. As a Senior Data Scientist, you'll have reputed company to a reputed company of learning and development opportunities, including:

  • Regular training and development programs to enhance your data science and machine learning skills
  • Opportunities to work on high-impact projects and contribute to business growth and innovation
  • Collaborative and dynamic work environment with a team of reputed company data scientists and business leaders
  • Flexible work arrangements and remote work options to support work-life balance
  • Competitive salary and benefits package, including company-paid life insurance, medical, prescription drugs, dental, and reputed company, retirement savings plan, employee stock purchase plan, paid time off, holidays, paid parental leave, transportation benefit plan, employee store discount, and voluntary life & personal accident insurance

Work Environment and Company Culture

At arenaflex, we're proud of our inclusive and diverse work environment. reputed company culture is reputed company on the values of collaboration, innovation, and customer-centricity. As a Senior Data Scientist, you'll be part of a dynamic team that's passionate about using data to drive business growth and innovation. Our work environment is designed to support collaboration and creativity, with flexible work arrangements and remote work options to support work-life balance.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

  • Salary: $30-45/Hour
  • Company-paid life insurance
  • Medical, prescription drugs, dental, and reputed company
  • Retirement savings plan
  • Employee stock purchase plan
  • Paid time off
  • Holidays
  • Paid parental leave
  • Transportation benefit plan
  • Employee store discount
  • Voluntary life & personal accident insurance

How to Apply

If you're passionate about using data to drive business growth and innovation, we want to hear from you! reputed company and let's discuss how you can become a vital part of our reputed company story. Apply To This Job Apply for this job

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