Data Scientist

Data and Analytic Solutions, Inc. (DAS) is hiring a Data Scientist to analyze large volumes of raw data, develop data products, and translate findings into actionable business insights. The role supports an existing environment through data mining, statistical analysis, model development, and reporting.

Responsibilities

• Design, test, and maintain program logic by coding, debugging, documenting, and supporting major software applications aligned with formal software analysis and design requirements.
• Perform data processing, including data editing, aggregations, and calculations.
• Analyze application effectiveness by reviewing code to maximize performance and identify or resolve root causes of issues.
• Build models to address business problems and identify trends and patterns in large datasets.
• Produce visualizations and reports, including clear presentation of ad-hoc analysis results.
• Collaborate with engineering and product development teams, and work with stakeholders to understand business needs, strategy, and vision.
• Preprocess structured and unstructured data, including cleansing and verifying data integrity for analysis.
• Identify valuable data sources and automate data collection processes.
• Integrate external components into analytic systems.
• Develop automated anomaly detection systems and continuously track their performance.
• Work with quality assurance teams for testing and support project colleagues.
• Enhance data collection procedures to include information relevant for building analytic systems.
• Create internal testing procedures.
• Support maintenance-phase activities, including configuration management and optimization of existing code.
• Work from written requirements and support requirements gathering.

Requirements

• Applied statistics skills, including distributions, statistical testing, and regression.
• Strong SAS and Python scripting and programming skills.
• Experience with data scrubbing, aggregations, calculations, and data extraction.
• Ability to develop code to manipulate unstructured data and store results in a database for analysis.
• Experience with data frameworks, business intelligence, and data visualization tools.
• Strong communication skills and professionalism when interacting with clients.
• Ability to work independently with minimal supervision and collaboratively on software development tasks and projects.
• U.S. Citizen or Permanent Resident.

Experience

• 8+ years of professional data analysis.
• 5+ years of Python programming.
• 3+ years of SAS programming.
• Demonstrable knowledge of economics, statistics, financial or stock markets, compliance, or risk management.

Technologies

• Python
• SAS

Education

• BSc/BA in Computer Science, Engineering, or a relevant field.
• Graduate degree in Data Science or another quantitative field.

Location

United States (Onsite)

Benefits

• Competitive Salary
• Paid Holidays and Vacation
• Medical and Dental Insurance
• Professional Development
• Retirement
• HI/Permanent Resident Sponsorship
• Supportive Environment