Data Scientist - CTO Office

Description

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. We use a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies including Artificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health. Our team’s focus is ensuring our health customers have the right solutions to keep pace with an ever-evolving public health landscape and prevent the next public health crisis. To explore and learn more, click here!

To enable these capabilities, we are building our commitment to focus on innovations that help our customers solve their problems. This requires awareness of the very complex environment we operate in, an understanding of the data and relationships that exist across federal government and state government agencies, and an awareness of the technology platforms that support the mission.

Leidos Health & Civil office of the CTO are seeking a dynamic and talented Healthcare Data Scientist to join our innovative team. As a Data Scientist, you will play a key role in extracting insights from data, implementing machine learning models, and contributing to data-driven decision-making processes.

What you will do:

• Analyze and interpret complex datasets to uncover valuable insights.


• Develop and implement Machine Learning (ML) models and algorithms.


• Collaborate with the team to design and execute data experiments.


• Utilize cloud platforms for data storage, processing, and analysis.


• Experience in data engineering and building data pipelines.


• Present findings and insights to both technical and non-technical stakeholders


• Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics.

What skills you bring:

• Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field. 8 years of related Experience in Healthcare areas, such as Electronic Health Records (EHR)


• Strong proficiency in Python programming languages, R programming language is desired.


• Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn)


• Familiarity with machine learning (ML) concepts and algorithms.


• Analyze and interpret complex healthcare datasets, including Electronic Heath Record (EHR) data, climate data, transportation data to extract valuable insights.


• Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau)


• Basic understanding of databases systems and SQL


• Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context.


• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions.


• Excellent problem-solving and analytical skills.


• Strong communication skills and the ability to present findings to both technical and non-technical audiences.


• Eagerness to learn and adapt to new technologies and methodologies.


• Strong attention to detail and a proactive approach to problem-solving.


• Requires US Citizen or US Person (Green Card Holder) with the ability to obtain Public Trust clearance.

If you are a data enthusiast eager to make an impact in a dynamic collaborative environment, we encourage you to apply. Join us in shaping the future through data science!

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

#Remote

#Featuredjob