Principal Data Scientist

Job Description

Description

As a Data Scientist at our Health Data Analytics Platform, you will play a crucial role in enabling evidence-based decision-making to improve outcomes for veterans and their families, and lower costs for VA, through the implementation of modern analytics tools and computing resources. You will be responsible for developing and implementing data-driven solutions to advance healthcare research, improve patient outcomes, and drive innovation in the industry. You will work closely with cross-functional teams, utilizing your expertise in data analysis, machine learning, and statistical modeling to generate actionable insights and support decision-making processes.

 

Key Responsibilities:

 

1. Collaborate with cross-functional teams to identify, prioritize, and frame business problems that can be addressed through data analysis and modeling, with a focus on improving outcomes for veterans and their families.

2. Acquire, preprocess, and analyze large datasets from various sources, ensuring data quality and integrity.

3. Develop, test, and deploy predictive models and machine learning algorithms to solve complex healthcare problems and support evidence-based decision-making processes.

4. Interpret and communicate data-driven insights and recommendations to stakeholders in a clear and understandable manner, both in writing and verbally.

5. Monitor and evaluate the performance of models and algorithms, refining and optimizing as needed to better serve the needs of veterans and their families.

6. Stay current with the latest trends, tools, and technologies in data science, health analytics, and machine learning, and apply this knowledge to improve existing processes and methodologies.

7. Contribute to the development of data science best practices, guidelines, and standards within the organization, promoting a culture of continuous improvement and innovation.

8. Mentor and provide guidance to junior data scientists and other team members.

Qualifications

TYPICAL EDUCATION AND EXPERIENCE:

Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.

1. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.

2. Minimum 7 years of experience in a data scientist role, preferably in the healthcare or life sciences industry.

3. Strong programming skills in Python or R, with experience in data manipulation, analysis, and visualization.

4. Proficiency in machine learning algorithms and statistical modeling techniques, such as regression, clustering, and time series analysis.

5. Experience with big data technologies, such as Hadoop and Spark, and familiarity with SQL and NoSQL databases.

6. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

7. Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.

8. Ability to work effectively in a fast-paced, collaborative environment.

 

Additional Skills:

1. Experience with MS Azure Government Cloud.

2. Experience with Docker and Kubernetes.

3. Proficiency in Terraform and Infrastructure as Code.

4. Experience with GitHub Actions.

5. Experience with JIRA and Agile Scrum Team Expertise.

6. Familiarity with Jira and Confluence, or other similar tools.

7. Knowledge of CI/CD processes and pipelines.

8. Experience with Azure Resource Manager (ARM) templates.

9. Experience with large data projects.

 

Preferred Skills and Qualifications:

1. Master's or PhD in Data Science, Computer Science, Statistics, or a related field.

2. Experience with deep learning frameworks, such as TensorFlow or PyTorch.

3. Familiarity with healthcare data standards, such as HL7, FHIR, or CDISC.

4. Knowledge of privacy regulations, such as HIPAA or GDPR, and experience working with anonymized or de-identified patient data.

Target salary range: $125,001 - $150,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Overview

SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.

We are approximately 26,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity, and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.