Remote Data Scientist

Description:

• The Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization.
• This role is aligned to the Workforce Acceleration Initiative (WAI), a federally funded CDC Foundation program aimed at helping public health agencies improve their information systems.
• The Data Scientist will work within Maine CDC’s Informatics team, part of the Division of Disease Surveillance.
• Responsibilities include developing, implementing, and improving data analysis and visualization tools for organizational staff to provide timely, relevant information that informs public health decisions.
• The role involves analyzing diverse datasets related to public health issues to identify trends, patterns, and correlations.
• The Data Scientist will apply statistical methods to extract actionable insights and develop predictive models to anticipate disease patterns and guide intervention strategies.
• Continuous optimization of algorithms for enhanced accuracy and performance is expected.
• The position requires creating compelling visualizations and reports to communicate findings to partners and decision-makers.
• The Data Scientist will present data-driven insights clearly to facilitate informed decision-making and collaborate with public health organizations to understand their data needs.
• The role includes providing data-driven support to inform public health policies and initiatives and staying abreast of emerging trends in data science and analytics.
• The Data Scientist will explore innovative approaches to address complex public health challenges and implement robust data security measures to protect sensitive information.

Requirements:

• A Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or a related field is required; a Master’s or PhD in a related field is preferred.
• A minimum of 5 years of relevant professional experience is required.
• Proficiency in statistical software such as SAS, R, and SQL is necessary.
• Proficiency in programming languages such as Python or R is required.
• Experience with data visualization tools like Tableau, Power BI, or ArcGIS is essential.
• Experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy is required.
• Strong analytical thinking and problem-solving abilities are necessary.
• The ability to interpret complex datasets and derive meaningful insights is required.
• Excellent verbal and written communication skills are essential.
• The ability to convey technical concepts to non-technical partners effectively is necessary.
• Flexibility to adapt to evolving project requirements and priorities is required.
• Professional certifications in data science or public health analytics are preferred.
• Outstanding interpersonal and teamwork skills are necessary, along with the ability to develop productive relationships with colleagues and partners.
• Demonstrated ability to work well independently and within teams is required.
• Experience working in a virtual environment with remote partners and teams is necessary.
• Proficiency in Microsoft Office is required.

Benefits:

• The position offers a salary range of $92,700-$134,275 per year, plus benefits.
• Individual salary offers will be based on experience and qualifications unique to each candidate.
• The work schedule is from 8:00 am to 5:00 pm EST, Monday to Friday.
• This is a grant-funded, limited-term opportunity with a position end date of June 30, 2025.
• The position is eligible for a fully remote work arrangement for U.S. based candidates.