Data Scientist

Job Description

Input Technology Solutions is seeking a Data Scientist in Chantilly, VA responsible for working closely with Customer Engagement project teams to provide the customer with business analysis expertise, dashboard design in a tactical capacity, evaluate internal and external client requirements, and implement effective solutions in a timely manner.

The selected candidate will leverage their analytical skills and expertise in predictive analytics to extract insights from complex datasets and drive data-driven decision-making within our client's user community. They will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.

Job Requirements:

Must have an Active TS/SCI with polygraph ONLY all others need not apply.

Analyze large, complex datasets to identify trends, patterns, and relationships.

Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.

Utilize statistical methods and data visualization techniques to communicate findings effectively.

Ability to consolidate, interpret, and present data in reports/dashboards for Executives, Team Leads, and Individual End Users focused on Acquisition and Financial Information.

An analytical mindset that allows you to look at the data available and drive into meaningful insights for the end user(s).

Ability to produce reports and dashboards using Microsoft Power BI, SSRS, and other data tools.

Experience using SQL to create queries and general knowledge of SQL database structure/relational databases

Ability to define and document customer business processes and report/dashboard content needs, including business process diagrams, data maps, and data modeling.

Consult with project team members and customer stakeholders to identify, define, and document business needs and objectives, current reporting capabilities, and challenges related to the business functions, such as those supporting the Federal Acquisition Lifecycle.

Collaborate with the project manager, technical analysts, and customer end-users in the analysis, design, configuration, testing, and maintenance of the Business Intelligence module of the AEON Business Process Management Platform to ensure desired operational performance and capabilities.

Design and conduct experiments to test hypotheses and validate model assumptions.

Implement A/B testing frameworks to evaluate the impact of changes and interventions.

Analyze experimental results and provide recommendations for further optimization.

Track and document changes for functional and business specifications; write detailed, universally understood procedures for testing use cases, knowledge capture, and training purposes.

Achieve proficiency in all significant Reporting/Analytic products, including the AEON software suite, through internal staffing training, self-guided tutorials, and daily exposure to individual product feature sets.

Provide support for various meetings, demonstrations, and program activities related to Business Intelligence.

Test reports/dashboard projects following business and functional design following best practices for quality assurance.

Record and track defects uncovered during test execution and assist in defect resolution (troubleshooting and researching).

Comprehension of change management processes.

Other duties as assigned.

Required Experience:

3+ years prior data scientist experience.

Proven experience in data science, machine learning, or predictive analytics roles.

Proficiency in programming languages commonly used in data science (e.g., SQL, Python, R, etc.).

Ability to work in a team-oriented environment for a matrixed organization.

Strong knowledge and experience with data reporting tools, including Microsoft PowerBI, SSRS, Tableau, etc.

Strong knowledge of productivity tools like Microsoft Office (Word, Excel, Outlook).

Experience with Agile and SCRUM processes and methodologies.

Knowledge of software development life cycle (SDLC) practices, principles, and techniques as they apply to the Agile development process.

Excellent verbal and written communication skills, proven ability to listen and relate to customers.

Ability to effectively collaborate with internal and external customers.

Demonstrated analytical and problem-solving capabilities.

Proven ability to communicate technical details to a non-technical audience.

Excellent organizational and time management skills.

Strong team player who is always willing to help other team members.

Desired Experience:

Bachelor's degree or relevant experience.

Knowledge of SQL Databases and Query Creation

Knowledge of the Federal Acquisition Lifecycle or commercial contracting.

Knowledge of Federal financial systems or commercial accounting.

Ability to develop and deploy predictive models using machine learning algorithms, optimize model performance, and evaluate model accuracy

Experience with Federal government contracting and/or program office organization's business processes.

Full-time