
Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
What they do: AI-native job platform offering a proactive "career agent" that finds, customizes, and can submit applications for job seekers
Founded / HQ: Founded 2023; headquartered in Santa Clara, California
Recent funding: Seed round $3.2M announced June 24, 2025 led by Translink Capital
Traction: Reported user base of ~520,000 (company blog)
Job search efficiency and application automation for job seekers (including international applicants).
2023
Software Development
$3.2M
Participation reported from HR Tech Investments
Verified Job On Employer Career Site
Job Summary:
McKesson is an impact-driven, Fortune 10 company focused on enhancing healthcare accessibility and affordability. They are seeking a Sr. Data Scientist to develop analytic solutions, applying data science methodologies to business problems in Finance, Operations, Accounting, and Supply Chain.
Responsibilities:
• Develop and implement predictive models to analyze pricing data and forecast trends.
• Apply machine learning algorithms to optimize pricing structures.
• Design and oversee the implementation of model variance analysis and impact tracking frameworks.
• Guide the deployment of statistical models in production.
• Collaborate with cross-functional teams such as sales, marketing, and finance to develop pricing strategies that align with business objectives.
• Prepare detailed reports on pricing analysis and recommendations for senior management.
• Partner with the business to build out a recommendation engine leveraging predictive models.
Qualifications:
Required:
• Degree or equivalent and typically requires 7+ years of relevant experience in data science / analytics / programming
• Bachelor’s degree in a technical field such as: Computer Science, Statistics, Applied Mathematics, Finance, Economics or related quantitative / STEM majors.
• Demonstrated ability to tackle problems across the full data stack, from data wrangling to stakeholder consumption at scale.
• Deep knowledge of machine learning / data science techniques.
• Knowledge of programming in Python and SQL.
• Ability to communicate technical concepts to non-technical audiences.
• Strong grasp of fundamental statistical concepts: forecasting techniques, reinforcement learning, unsupervised learning, regression, A/B testing, cluster analysis, outlier analysis, probability distributions, tests for independence, etc.
• Experience solving problems at scale leveraging both cloud platforms and relational databases.
Preferred:
• Experience with AI techniques such as natural language processing (NLP), Gen AI, LLMs, computer vision, and reinforcement learning to enhance pricing models and optimize revenue.
• Using mathematical models to optimize pricing a plus.
• Experience in developing statistical simulation decision frameworks a plus.
• Master’s and/or PhD a plus.
Company:
McKesson distributes medical supplies, information technology, and care management products and services. Founded in 1833, the company is headquartered in Irving, Texas, USA, with a team of 10001+ employees. The company is currently Public Company. McKesson has a track record of offering H1B sponsorships.