Data Scientist

DarkStar Intelligence LLC • San Antonio, TX

33d • Onsite

About The Position

We are seeking a Data Scientist in San Antonio, TX!

Requirements

• Clearance: Active TS/SCI
• Bachelor's degree in computer science, statistics, mathematics, or a related field and a minimum of 7 years' experience in data science, analytics, or a related field, with a focus on federal government environments
• Certified Data Scientist (CDS) or Professional Data Engineer (PDE)
• Proficiency in programming languages such as Python, R, or Java, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, or TensorFlow).
• Expertise in statistical and machine learning techniques, including regression, clustering, and classification algorithms.
• Strong data visualization skills, including experience with tools such as Tableau, Power BI, or D3.js.
• Excellent communication, collaboration, and problem-solving skills.
• Experience working with cloud-based data processing and analysis tools.
• Experience working with data visualization tools such as Tableau or Power BI.
• Active TS/SCI clearance required

Responsibilities

• Assess existing data landscape and recommend improvements in data collection, storage, and processing methodologies.
• Develop and implement data preprocessing and cleaning techniques to ensure data quality and consistency.
• Design, develop, and apply advanced statistical and machine learning models to derive insights and support data-driven decision-making.
• Visualize and communicate complex data analyses, trends, and patterns to depa1tment stakeholders through interactive dashboards and rep01ts.
• Collaborate with subject matter expe1ts to identify and prioritize data analysis projects based on department objectives and available resources.
• Ensure compliance with federal government data privacy and security requirements, including FISMA and GDPR, when working with sensitive datasets.
• Continuously monitor and evaluate the performance of data models, recommending and implementing enhancements as needed.
• Stay current with emerging trends and best practices in data science and apply these learnings to improve processes and outcomes

Benefits

• Health Coverage: Medical, dental, and vision plans
• Income Protection: Life insurance, short-term disability, and long-term disability
• Retirement Planning: 401(k) plan with employer contributions
• Work-Life Support: Employee Assistance Program (EAP) and legal services
• Paid Leave: Generous PTO, 11 paid federal holidays, and one floating holiday
• Legal & Identity Protection: LegalShield and IDShield
• Additional Insurance: Whole life, accident, and critical care coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees