Data Scientist

Responsibilities:

• Collaborate with stakeholders to understand complex business challenges, define analytical objectives, and translate them into well-structured technical problems.
• Identify the most suitable analytical methods to address specific challenges and objectives.
• Analyze, clean, and transform data from both structured and unstructured sources to extract meaningful insights that support decision-making processes.
• Validate and ensure the accuracy, reliability, and integrity of data through robust validation techniques.
• Support data collection processes by developing ETL (Extract, Transform, Load) pipelines and preparing datasets for exploratory and advanced analytics.
• Work with data engineers, visualization specialists, and cross-functional teams to deliver cohesive, end-to-end analytical solutions.
• Evaluate and apply statistical, machine learning, or optimization techniques to solve analytical problems, aligning methods with the data and objectives.
• Design and develop dashboards, charts, and reports to effectively communicate findings, trends, and actionable insights to technical and non-technical audiences.
• Engage with stakeholders to gather requirements, provide guidance on data-driven decision-making, and ensure alignment of analytical solutions with organizational goals.

Required Skills & Abilities:

• Bachelor’s in Data Science, Data Analytics, Statistics, Data Engineering, Industrial Engineering, Systems Analysis, Business Analytics, Manpower Analysis, Operations Research, or related discipline
• 4 years’ experience with Python, R, or other languages in building statistical and machine learning models and delivering actionable insights.
• Experience in working with dirty data and conducting exploratory data analysis
• Proficient in extracting, transforming, and integrating data from multiple data sources for analysis
• Experience with SQL
• Familiarity with data visualization tools such as Tableau, Power BI, or Qlik.
• Ability to interpret complex data and present findings in a clear, concise, and actionable format.
• Experience in applying statistical analysis, analytics, and modeling techniques to answer stakeholder questions.
• Excellent problem-solving skills and attention to detail.
• Possess or be able to obtain an active Secret-level security clearance.

Desired Skills and Abilities:

• Familiarity with SAS.
• Experience with cloud platforms such as AWS or Azure.
• Master’s Degree + 2 yrs experience.
• Strong written and verbal communication skills to engage both technical and non-technical audiences, with the ability to clearly explain analyses and present key findings to clients.