Data Scientist

2 days ago

🏡 Remote – Anywhere in California

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Logo of CDC Foundation

CDC Foundation

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world$1. .$1

public health • public-private partnerships • epidemiology • disease control and prevention

51 - 200

Description

• Develop, implement, and improve data analysis and visualization tools for use by organization staff, to provide timely, relevant information that informs decisions affecting the public’s health. • Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations. • Apply statistical methods and machine learning algorithms to extract actionable insights. • Develop predictive models to anticipate disease patterns, assess risk factors, and guide intervention strategies. • Continuously optimize algorithms for enhanced accuracy and performance. • Create compelling visualizations and reports to communicate findings to partners and decision-makers. • Present data-driven insights in a clear and understandable manner to facilitate informed decision-making. • Collaborate with the public health organization and its partners to understand their data needs and objectives. • Collaborate with other departments and to analyze and distill requirements needed to develop and augment deliverables. • Provide data-driven support and guidance to inform public health policies and initiatives. • Stay abreast of emerging trends, technologies, and methodologies in data science and analytics. • Explore innovative approaches to address complex public health challenges and improve data analysis capabilities. • Integrate data from different sources into data science environments • Implement automation of dashboard updates • Develop, test and deploy user interface updates to a dashboard

Requirements

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field. Master’s or PhD in related field preferred. • Minimum 5 years of relevant professional experience • Experience with data integration and automation • Experience in software development and UI design preferred. • Proficiency in programming languages such as Python or R preferred. • Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy). • Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn). • Experience with data visualization tools (e.g., Tableau, Power BI). • Strong analytical thinking and problem-solving abilities. • Ability to interpret complex datasets and derive meaningful insights. • Excellent verbal and written communication skills. • Ability to convey technical concepts to non-technical partners effectively. • Flexibility to adapt to evolving project requirements and priorities. • Professional certifications in data science, machine learning, or public health analytics preferred. • Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, and partners. • Demonstrated ability to work well independently and within teams • Experience working in a virtual environment with remote partners and teams • Proficiency in Microsoft Office.

Benefits

• Individual salary offers will be based on experience and qualifications unique to each candidate. • Fully remote work arrangement for U.S. based candidates.

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