49 applicants

Company

Original Job Post

McKesson · 1 week ago

Senior Data Scientist

Richmond, VA

Full-time

Onsite

Senior Level

$124K/yr - $207K/yr

10+ years exp

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BiopharmaBiotechnology

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Responsibilities

Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.

Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.

Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.

Design and execute experiments to test hypotheses and validate models.

Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.

Build and maintain scalable data pipelines and data processing systems.

Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.

Stay updated on advancements in data science, machine learning, and analytics.

Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.

Collaborate with the Enterprise Analytics team to integrate new practices and technologies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Advanced Analytics SolutionsEnterprise Data SolutionsBig Data SystemsData PipelinesData ProcessingData Privacy StandardsCloud PlatformHadoopHiveRedshiftBig QuerySnowflakeDatabricksGCPAzureAnalytical PlatformsSASRPythonAzure MLUnix Shell ScriptingDependency Driven Job SchedulersAPI SpecsAPI CallsData ExtractionSQL Data StructuresData visualizationHealthcare/pharma domain knowledgeData scienceAI/machine learning

Required

Typically requires 10+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate

Hands-on experience building and delivering Enterprise Data Solutions

Extensive professional experience with Big Data systems, data pipelines and data processing

Familiarity with data privacy standards, methodologies, and best practices

Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.

Hands on experience working on analytical platforms like SAS, R, Python, Azure ML

Expertise in Unix Shell scripting and Dependency driven job schedulers.

Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures.

Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience

Preferred

Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plus

Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus

Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.

Strategic thinker with a strong analytical mindset and problem-solving abilities.

Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.

Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.

Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).

Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.

Proficient in many of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.

Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment

Highly influential and ability to educate stakeholders on the role of data and its purpose in the business

Teams up and collaborates for speed, agility, delivery excellence and innovation

Strong negotiation and decision-making skills