Summary/Objective

Synensys is seeking a Data Scientist to support data integration, transformation, reporting, and analytics initiatives. This role will work closely with business stakeholders and technical teams to collect, prepare, and analyze data from multiple sources to support operational and strategic decision-making. The ideal candidate will have strong data management and analytical skills, experience building ETL processes, and an interest in applying statistical and machine learning techniques to solve business problems.

Essential Functions

Competencies

Develop and maintain ETL/ELT processes to ingest, transform, and prepare data from multiple sources.
Perform data cleansing, validation, and quality assurance activities to ensure data accuracy and consistency.
Analyze structured and semistructured data to identify trends, patterns, and business insights.
Create and maintain datasets, data pipelines, reports, and dashboards.
Collaborate with business users to gather requirements and translate them into technical solutions.
Write and optimize SQL queries, stored procedures, and data transformation logic.
Support data modeling, reporting, and analytical initiatives.
Document processes, data flows, and technical solutions.
Assist with ad hoc analyses and support datadriven decision making.
Document daily work in JIRA

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Position Type/Expected Hours of Work

This is a full-time position, generally performed during standard business hours, Monday through Friday. The position may require occasional work outside business hours to meet business needs.

Required Education and Experience

Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
13 years of experience in data analytics, data science, business intelligence, or a related role.
Knowledge of data transformation, data quality, and data integration concepts.
Experience with Python, R, or another scripting language for data analysis.
Strong analytical, problemsolving, and communication skills.
Ability to work independently and collaboratively in a team environment.
Experience working in agile teams

Preferred Experience

Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.
Exposure to machine learning, predictive analytics, or statistical modeling techniques.
Experience working with healthcare data or Electronic Health Record (EHR) systems.
Experience supporting Department of Veterans Affairs (VA) programs or healthcare initiatives.
Previous VA badge or credentialing experience.
Familiarity with VA EHR modernization environments (e.g., Oracle Health/Cerner).
Exposure to Natural Language Processing (NLP) concepts and tools.
Experience working in government, healthcare, or highly regulated environments.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Synensys is committed to providing its employees with a work environment that is free of unlawful discrimination on the basis of any legally protected status including race, color, religion, gender, sexual orientation, gender identity, national origin, age, citizenship, disability, protected veterans or other status protected by law.

Job description