Data Scientist II

Cftechnologiesllc; Camp Springs (MD); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Full benefits package

Collaborative work environment

Encouragement for veterans and military spouses

Job summary

Cftechnologiesllc is seeking a Data Scientist II in Camp Springs, MD, who will provide advanced analytical support and develop predictive models for government programs.

This full-time position includes responsibilities such as developing dashboards and applying statistical techniques for data-driven decision-making. A collaborative work environment and a full benefits package are offered, with a preference for veterans and military spouses.

Qualifications

• Minimum of five years of experience in data science or data analytics.
• Experience with predictive modeling and statistical analysis.
• Ability to communicate complex data findings to non-technical stakeholders.

Responsibilities

• Provide predictive modeling and workload forecasting.
• Build interactive dashboards using Tableau, Power BI, and Python.
• Conduct trend analysis and impact assessments of operational data.

Skills

Predictive modeling

Data analysis

Machine learning

Tableau

Power BI

Python

Databricks

Education

Bachelor's degree in Data Science or related field

Tools

Tableau

Power BI

Python

Databricks

Job description

Client First Technologies currently is seeking a Data Scientist II in support of our Government customer. The Data Scientist II provides advanced analytical support, predictive modeling, and business intelligence capabilities.

The Data Scientist II is responsible for developing and maintaining dashboards, KPI frameworks, and models; interpreting complex data; and applying statistical and machine learning techniques to drive data-informed decision making and operational efficiency across the customer's programs.

This is a full-time position in Camp Springs, MD with the opportunity for telework (as authorized).

CFT offers a full benefits package, a collaborative work environment and a strong company culture. Veterans and military spouses are encouraged to apply.

This position is contingent upon contract award.

Requirements

• Provide predictive modeling and workload forecasting of key metrics, measuring accuracy and impact on decision-making
• Apply analytical knowledge and techniques in business process analysis, workload and staffing modeling, and predictive analytics, to assess efficiency gains and staffing changes
• Develop and track KPIs, providing data-driven recommendations for continuous improvement; develop implementable project metrics with data-driven collection plans to project the Return on Investment (ROI) of proposed initiatives
• Use collected customer experience data to develop systems, programs, and process improvements to customer and user experiences
• Build interactive dashboards with real-time performance data using tools such as Tableau, Power BI, Python, and Databricks to enhance transparency and decision-making
• Expand on summary statistics using Tableau to run new and existing deterministic and probabilistic models addressing eligibility, risk, and complexity screening protocols
• Interpret complex data
• Incorporate advanced statistical techniques, including machine learning and hierarchical regression, where appropriate to infer future results from operational data
• Conduct trend analysis and impact assessments of operational data to optimize efficiency
• Hold meetings and workshops with subject matter experts to understand data collection methodologies and analytical requirements

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field required
• Minimum of five (5) years of experience in data science, data analytics, or a closely related field
• Demonstrated proficiency in Tableau, Power BI, Python, and Databricks, or similar data analysis and visualization platforms
• Experience with predictive modeling, machine learning techniques, and statistical analysis in an applied setting
• Experience with hierarchical regression, probabilistic modeling, and deterministic modeling
• Ability to communicate complex data findings clearly to non-technical stakeholders and senior leadership
• Experience developing KPI frameworks and business intelligence dashboards in support of federal program management

Preferred Qualifications

• Master's degree in a related field preferred
• Familiarity with DHS immigration systems and data preferred

Physical Demands

• Must be able to sit and stand for extended periods of time
• Occasional travel and overtime may be required

Required Clearances and Screenings

• This position is subject to a DHS background investigation and must meet eligibility requirements for access to Sensitive But Unclassified (SBU) information