MCKESSON

location-iconMCKESSON

Data Scientist

location-iconRichmond, VA, 23214

jobtype-iconPart Time, Full Time

estimated-salary-icon$119,871 per year

dateposted-iconPosted 8 days ago

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location-iconActively Hiring

McKesson, one of the top ten companies in the Fortune list, plays a vital role in shaping various aspects of healthcare. With a core focus on enhancing the accessibility and affordability of quality care, McKesson is distinguished for its ability to provide valuable insights, innovative products, and essential services. The company's ethos revolves around prioritizing the health, happiness, and overall well-being of all those they cater to - showcasing a deep-seated level of care and dedication.

Your actions at McKesson make an impact. We cultivate an environment that nurtures your development, empowers you to effect change, and encourages you to introduce fresh concepts. Together, we succeed as we influence the future of healthcare for patients, communities, and our workforce. If you wish to play a role in shaping the health landscape of tomorrow, we are keen to hear from you.

Position Summary:

The role of an Data Scientist at McKesson encompasses contributing to the development of advanced AI solutions. This position involves leveraging AI methodologies to solve intricate business challenges across various functions such as Finance, Operations, Accounting, and Supply Chain.

Your duties in this role will encompass carrying out research, experimenting with proof of concepts, devising technical designs, participating in hands-on development, and optimizing AI-powered automation systems. Effective collaboration skills will be needed to work closely with various teams such as UX Design professionals, the AI Center of Excellence (CoE), and Quality Analysts. The objective is to provide intelligent automation solutions that enhance our business processes and outcomes. Proficiency in cloud development and experience with AI and automation technologies are essential, as is the readiness and ability to quickly learn. An inclination towards innovation and a commitment to excellence are necessary to understand business challenges and deliver value through highly scalable and dependable automation solutions.

Responsibilities include:

  • Create and deploy models using computer vision for the analysis of images and videos.
  • Formulate and execute algorithms to achieve object detection, recognition, and tracking objectives efficiently.
  • Enhance image processing protocols to elevate both accuracy and efficiency levels.
  • Verify that the solutions are scalable and equipped to handle significant quantities of data in an efficient manner.
  • Keep pace with the latest advancements in Foundation Model research to enhance the quality of your project implementations.
  • Join forces with other AI specialists to collectively produce and deploy AI-driven solutions.
  • Follow the agile scrum system.
  • Coordinate efforts with the engineering team to integrate models seamlessly into production applications
  • Understanding of data engineering fundamentals including data ingestion, ETL operations, and data modeling to enhance the effectiveness of data pipelines within Databricks.
  • Successfully manage intricate project specifications, schedules, and interdependencies for cohesive planning and execution.
  • Takes the lead in acquiring knowledge and implementing modern technology, principles, and processes relevant to the demands of the project. Keeps abreast of the current advancements in technology specific to the field.
  • Documents, preserves, and conveys successful methodologies to other departments within McKesson's automation division.

McKesson is delighted to offer an attractive compensation package as part of our Total Rewards strategy. This is influenced by various factors, such as individual performance, years of experience, specialized skills, fairness, routine market assessments, and regional benchmarks. The pay ranges outlined below are designed in accordance with McKesson's compensation philosophy and are consistently compliant with relevant regulations. Apart from the base salary, other forms of compensation such as annual bonuses or opportunities for long-term incentives may also be presented. For further information on the benefits provided at McKesson, please do not hesitate to approach us

Our Base Pay Range for this position

$103,300 - $172,100

McKesson is an Equal Opportunity Employer

McKesson assures that it offers equal employment opportunities to applicants and staff and is dedicated to cultivating a diverse and inclusive environment where discrimination based on race, color, religion, gender, sexual orientation, national origin, veteran status, disability, age, or genetic information is not tolerated. For a comprehensive understanding of McKesson's Equal Employment Opportunity policies, please refer to our official website.

Connect with McKesson and join our team today!

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FAQ's

Find the answers for the most frequently asked questions below

Are you looking for job openings with MCKESSON near Richmond, VA, US? You'll find plenty of opportunities in nearby cities, including Blackstone, VA, Colonial Beach, VA, Crewe, VA, Colonial Heights, VA, Ashland, VA, Hopewell, VA, Petersburg, VA, Pilot Point, TX, Rockwall, TX, Rowlett, TX, Waverly, VA, Williamsburg, VA, Flower Mound, TX, Fredericksburg, VA, Keene, TX, Sachse, TX, Waxahachie, TX, Addison, TX, Anna, TX, Argyle, TX. These locations offer remote jobs, part-time jobs, and full-time positions with MCKESSON. Check out current job listings in these cities to discover more employment opportunities and local jobs hiring now in your area.

If you're searching for companies hiring now in Richmond, VA, US, several top employers are offering a variety of job opportunities. These include Capital One, Angi, U.S. Department of Defense, CACI, SAIC and more. Whether you're looking for entry-level positions, work-from-home jobs, or immediate hire roles, you'll find plenty of local job listings in Richmond, VA, US.

To become a Data Scientist, follow these steps: 1. Obtain a strong foundation in mathematics and statistics. 2. Learn programming skills, particularly in languages like Python or R. 3. Gain experience with data analysis tools such as SQL, Tableau, or PowerBI. 4. Familiarize yourself with machine learning algorithms and libraries like scikit-learn or TensorFlow. 5. Build a portfolio of projects showcasing your data analysis and modeling skills. 6. Stay updated with the latest trends and advancements in the field.

The question of the best country for a data scientist is subjective and depends on various factors such as job market, salary, and quality of life. However, countries like the United States, United Kingdom, Germany, Canada, and Australia are often recognized for their strong data science industries and opportunities. It's essential to research specific cities and companies within these countries to find the best fit for individual career goals.

A data scientist analyzes and interprets complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. They also work on developing strategies to improve business performance and solve complex problems.

A data scientist analyzes and interprets complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. They also communicate their findings to stakeholders in a clear and actionable manner.

A data scientist is a professional who uses statistical methods, machine learning algorithms, and data analysis techniques to extract insights, trends, and patterns from complex data sets, often to inform business decisions and strategy.

Data scientists analyze and interpret complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights from large datasets. They also often work on predictive modeling and data-driven problem-solving.

Data scientists, like many professionals, can earn a significant income, but their salary can vary greatly depending on factors such as location, industry, and level of experience. However, it's important to note that wealth is not solely determined by income and can also depend on factors such as spending habits, investments, and career longevity.

Yes, data scientists are scientists. They apply scientific methods, mathematics, and statistics to extract insights and knowledge from data. They work in various fields, such as technology, finance, healthcare, and more, to analyze and interpret complex data sets.

A good data scientist should possess strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of statistical methods and machine learning algorithms. They should also be able to communicate complex data insights effectively to non-technical stakeholders.

Yes, a data scientist can work from home. They primarily work with data, which can be accessed remotely, and their tasks often involve analysis, modeling, and interpretation, which can be done independently. However, the specific work arrangements may vary depending on the company's policies and project requirements.