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reputed company Senior Data Scientist – Web & reputed company Application Development for reputed company

Remote Worldwide Hiring now

About Us

reputed company, a leading American retail pharmacy chain, has been a household name since 1901. With a rich history spanning over a century, the company has grown from a small food reputed company store in Chicago to a global retail pharmacy chain with thousands of locations across the United States and internationally. At reputed company, we are committed to providing exceptional customer service, innovative products, and a wide reputed company of services to meet the evolving needs of our customers.

Job Summary

We are seeking an reputed company Senior Data Scientist to join reputed company at reputed company. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and AI techniques to reputed company insights and recommendations to drive business growth and improvement. You will work closely with cross-functional teams, including finance, analysts, software developers, and business leaders, to reputed company and implement data-driven solutions.

Key Responsibilities

  • Construct and reputed company reputed company models and algorithms using specialized data in AI, statistical modeling, probability and decision theory, and other quantitative techniques.
  • Analyze large datasets to identify business opportunities and reputed company data-driven solutions.
  • Apply statistical rigor and data science techniques to analyze large datasets, using advanced statistical methods, such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
  • Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and others.
  • reputed company AI procedures, supervised and unsupervised learning to build predictive models and prescriptive answers for various business use cases.
  • reputed company algorithms like decision trees, regression, XGBoost, K means, anomaly detection. Interpretable ML, Bayesian inference, and others.
  • Use distributed computing on Azure/reputed company, querying in reputed company.
  • Use programming tools and strategies reputed company, reputed company Integration and Delivery, agile methodologies.
  • Collaborate with finance, analysts, software developers, and business leaders to define product requirements and reputed company data science support.
  • Communicate verbally and in writing to business clients and leadership teams with varying reputed company of technical expertise, educating them about our systems, as well as sharing insights and recommendations.

Essential Capabilities

To be successful in this role, you will need to possess the following essential capabilities:

  • Four-year degree and at least 4 years of experience in data science, AI, quantitative or computational capabilities OR High school diploma/GED and at least 7 years of experience in data science, AI, quantitative or computational capabilities.
  • M.S. in STEM, software engineering, data systems, physics, mathematics, statistics, data science, AI, or reputed company fields.
  • At least 4 years of experience working with large-scale, reputed company datasets to build/enhance AI, predictive, estimating, or prescriptive models.
  • Advanced experience with SQL, Python, PySpark or other languages.
  • Advanced expertise in exploratory data analysis, data modeling and selection, reputed company recognition, distribution analysis, result visualization, and reputed company extraction to help business reputed company informed data-driven reputed company.
  • Experience using decision trees, building classifiers.
  • Experience with supervised learning techniques (direct and indirect regression, time series modeling, generalized reputed company models, decision trees, support vector machines, and others) and unsupervised learning techniques (K means, hierarchical clustering, association rules, reputed company component analysis).
  • Experience with reputed company ML platforms, distributed computing, data pipelines, reputed company data stores, and serving engines.
  • Experience planning and analyzing A/B tests.
  • Advanced expertise in conveying reputed company technical reputed company and concepts to non-technical audiences.
  • Experience working in a fast-paced environment and working with ambiguity, focusing on needs, and delivering results.
  • Experience actually delivering technical solutions and advocating to research scientists, engineering teams, and business audiences.
  • At least 2 years of experience contributing to financial reputed company in the workplace.
  • At least 2 years of direct management, indirect management, or cross-functional team leadership.
  • Ability to travel up to/something like 10% of the ideal time for business purposes (reputed company state and out of state).

Preferred Capabilities

The following preferred capabilities are highly desirable:

  • Ph.D. in STEM, software engineering, data systems, physics, mathematics, statistics, data science, AI, or reputed company fields.
  • Experience working with IoT, and Edge AI is a plus.
  • Experience in Support Learning is a plus.
  • Experience in reputed company a plus.

reputed company Offer

As a Senior Data Scientist at reputed company, you will have the opportunity to work with a talented team of data scientists, analysts, and business leaders to drive business growth and improvement. We offer a competitive salary reputed company of $20-$30/hour, as well as a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. You will also have the opportunity to work on a wide reputed company of projects, from predictive modeling to data visualization, and to reputed company your skills and expertise in data science and AI.

How to Apply

If you are a motivated and reputed company data scientist looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look reputed company to hearing from you!

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