Role Description

Business Understanding, Problem Definition & Stakeholder Collaboration

• Understand business problems, synthesize project objectives, and analyze information obtained from management to conceptualize and define operational problems.
• Identify business problems or management objectives that can be addressed through data analysis and propose analytical, mathematical, or engineering-based solutions.
• Collaborate with senior managers, client leadership teams, and decision-makers to clarify objectives, ensure timely completion of project tasks, maintain quality deliverables, and support successful implementation of solutions.
• Coordinate and communicate effectively with stakeholders, anticipate future project pipelines, plan work allocation, and build required team skillsets.
• Advise stakeholders and team members on analytical techniques and support decision-making across functions such as budgeting, staffing, marketing, and product enhancements.
• Identify project risks proactively and develop mitigation strategies.

Data Understanding, Acquisition & Preparation

• Explore and understand the client’s data landscape, including observing current systems and gathering relevant information from multiple sources.
• Define data requirements, gather, validate, and clean data using statistical techniques, applying judgment and appropriate statistical tests.
• Migrate data from internal sources to centralized repositories and ingest data from external sources where required.
• Apply sampling techniques, design surveys, opinion polls, or use enumeration methods to collect relevant data.
• Clean, manipulate, and prepare raw data using statistical and analytical tools to ensure readiness for analysis and modeling.

Analytical Modeling, Statistical Analysis & Mathematical Techniques

• Break systems into components, assign numerical values, and examine mathematical relationships between variables.
• Develop, formulate, and apply scientific, mathematical, statistical, and simulation models involving constants, variables, constraints, and conflicting objectives.
• Design, conduct, and evaluate experimental and operational models where sufficient data may not exist.
• Apply feature selection techniques and statistical methods to predict outcomes such as sales, attrition, healthcare usage, and operational performance.
• Apply mathematical and statistical principles to identify trends, relationships, and factors influencing outcomes.
• Determine appropriate analytical methodologies and compare models using statistical performance metrics such as loss functions and variance explanation measures.

Machine Learning, AI Development & Model Validation

• Develop and implement Artificial Intelligence and Machine Learning algorithms to solve business and operational problems.
• Perform model validation, testing, and refinement to ensure accuracy, reliability, and adequacy.
• Build Proof of Concepts (POCs) to evaluate analytical approaches, support product enhancements, and ensure computational efficiency and business effectiveness.

Solution Development, Visualization & Reporting

• Analyze data to generate insights and prepare analytical reports, dashboards, and scientific or mathematical documentation.
• Create visualizations such as charts, graphs, and dashboards using specialized tools to effectively communicate analytical findings.
• Deliver oral and written presentations to management, clients, and end users explaining modeling approaches, insights, and recommendations.
• Project Planning, Execution & Continuous Improvement
• Study and evaluate alternative analytical approaches to determine optimal solutions and expected outcomes.
• Develop and apply time and cost planning networks to manage, control, and review large-scale analytical projects.
• Collaborate across teams to ensure smooth implementation of analytical solutions and continuous improvement of analytical capabilities.

Benefits

• $150,176.00.
• Medical/Dental/Vision/Life
• HSA/FSA
• AD&D/STD/LTD
• PTO
• Technical Certifications
• International Mobility
• Employee Assistance
• Anniversary Bonus

Requirements

• Requires a Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Engineering, or related
• 5 years of experience in the IT field
• Duties entail work with R, RStudio and Python

Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.