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About Swingtech Swingtech delivers innovative Information Technology and Professional Support services to a diverse range of clients across the federal and intelligence communities. With over 15 years of trusted experience as a systems integrator, we apply agile methodologies and deep industry insight to help our customers achieve greater efficiency, compliance, and cost savings. At Swingtech, we're committed to excellence and long-term success for our clients and our team. Swingtech Consulting, Inc. is currently looking to fill a Data Scientist role. Responsibilities & other details are listed below: RESPONSIBILITIES: Analyze large, complex datasets to identify trends, patterns, and insights.
Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.
Visualize data and present findings to stakeholders through reports, dashboards, and presentations.
Stay up-to-date with the latest trends and technologies in data science and machine learning.
Develop predictive models and algorithms to support decision-making.
Document methodologies, models, and processes for future reference and continuous improvement.
ELIGIBILITY & QUALIFICATIONS: Master's degree in data science, Statistics, Computer Science, or a related field.
5+ years of experience analyzing large data sets from multiple sources.
Strong experience with SQL & database management.
Experience with cloud platforms such as AWS (preferred), Azure, or Google Cloud.
Experience with big data technologies specifically with Databricks & Spark.
Experience with data visualization tools like AWS QuickSight, Tableau, Power BI, or similar.
Experience with project management tools such as Jira, SharePoint, MS Teams, MS Word and MS Excel.
Demonstrated experience in the healthcare industry and/or quantitative work experience related to health research.
Experience with outcomes research using administrative claims, survey data, or other patient level data, economic modeling, patient reported outcomes, and health technology assessments is highly preferred.
Certifications in data science or machine learning is highly preferred. Summary of Benefits 15 PTO days
11 paid holidays
Medical Insurance with - 3 options (HSA with $600 Employer Contribution).
Dental Insurance with no age limit orthodonture.
Vision Insurance through EyeMed in and out of network coverage.
Short Term and Long-Term Disability coverage with 100% premium support,
Life insurance and AD&D with 100% premium support
Supplemental Life Insurance
Critical Care and Accident Insurance availability
Pet Insurance through Nationwide
Employee Assistance Program
401k with enrollment from day one. 4% deferral by company.
$1500 Annual Training Budget
$1500 Referral bonus
Eligibility for annual merit and discretionary bonus
Flexible work arrangements
Equal Opportunity Employer Minority/Female/Veterans/Disabled
Date Posted: 30 May 2025
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