Data Scientist- Onsite (US Citizens w/Public Trust Clearance)

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