Job Responsibilities
Under general supervision, the position leads the development and application of methods to identify, collect, process, organize, and analyze structured, semi-structured, and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results and provides ongoing support to strengthen data-driven program design and management. This position will play a critical role in transforming court operational data into actionable insights that support judicial leadership, circuit management, and statewide reporting consistency. The Data Scientist will collaborate with IT leadership, court administrators, clerks, judges, and executive stakeholders to develop predictive models, performance dashboards, and analytical frameworks that improve transparency, efficiency, and data-driven decision-making across the Judicial Branch.
Essential Duties And Responsibilities Of The Position
Judicial Performance Analytics. Independently conduct advanced analytical studies for the resolution of business problems and transfigures data into critical information by selecting and deploying appropriate advanced statistical techniques such as machine learning, bivariate and multivariate analyses, predictive/prescriptive analytics, and optimization. Develop statistical model to evaluate: case aging trends, disposition rates, backlog indicators, and circuit/county level performance disparities. Design benchmarking methodologies. Conduct time-series analysis across fiscal years. Identity patterns in filings, dispositions, and case durations. Provide advanced metrics beyond standard reporting counts.
Dashboard & Executive Reporting Enhancement. Design and optimize dashboards, visualizations, and analytic tools (e.g., Periscope, Business Objects, D3, ggplot, etc.). Develop advance DAX-backed measures ground in statistical rigor. Parner with Power BI developers to enhance dashboards. Translate complex findings into executive-ready visualization. Support development of KPI frameworks for statewide reporting. Convey findings and conclusions of work orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, stakeholders, and executive leadership.
Data Quality & Governance Support. Identify data inconsistencies across statewide data. Develop anomaly detection routines. Collaborate on improving the data collection into the statewide data warehouse. Support data standardization effort. Assist with validation logic for DW ETL processes. Provide ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed.
Predictive & Advanced Modeling. Build predictive models for judicial data. Create and maintain a LLM with judicial data for effective searching and reporting. Develop risk indicators for emerging congestion. Apply regression, clustering, and classification techniques for judicial datasets. Use statistical computer scripting, domain-specific, and programming languages and other software and tools to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data.
Research & Policy Support. Conduct statistical analysis to support: 1) Legislative inquiries 2) Policy reviews and 3) 610 data requests. Stays current with best practices; access ongoing training and professional development to maintain familiarity with current industry research to apply the latest and most useful statistical learning techniques to help extract pattern and trends from data. Assist in implementing recommended process changes in ways that both retain fidelity to best practices identified through the analysis and recognize the operational realities underlying existing business processes, provides ongoing consultation as recommended changes and new programs grow and evolve, including recommending modifications to adopted goals and metrics.
Collaboration and Stakeholder Engagement. Collaborate with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal, external, structured, semi-structured, and unstructured data sources; and provides guidance to other department data experts in the selection and transformation of such sources
Performs all other duties as assigned.
Minimum And Additional Requirements
Masters in Data Science, Applied Mathematics, Statistics, Information Technology, Computer Science, Economics or another quantitative field.
Seven (7) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations to support data-driven program, policy, and operational decision-making.
Advanced proficiency in R and/or Python for data analysis and modeling.
Experience with SQL and relational databases.
Experience visualizing/presenting data for stakeholders using: Power BI, DAX, Business Objects, D3, ggplot, etc.
Experience with GIS tools (ArcGIS Pro, ArcGIS Online) and spatial analysis.
Preferred Qualifications
Experience working with court, justice, or government data systems
Experience with Power BI and DAX
Familiarity with star/snowflake schema data warehouses
Experience with time-series forecasting models
Knowledge of case lifecycle or judicial workflow processes
Experience presenting to executive leadership
Knowledge, Skills, Abilities And Other Characteristics
Strong proficiency in: SQL (advanced querying and data manipulation), Python or R, Statistical modeling techniques
Experience working with large relational datasets
Experience developing dashboards or executive reporting analytics
Strong analytical reasoning
Ability to translate complex statistical concepts into operational insights
High attention to data integrity and accuracy
Strategic mindset aligned with enterprise modernization
Strong written and verbal communication skills
Collaborative and cross-functional approach
Additional Comments
The South Carolina Judicial Branch offers an exceptional benefits package for FTE positions that include:
- Health, Dental, Vision, Long Term Disability, and Life Insurance for Employee, Spouse, and Children.
- State Retirement Plan and Deferred Compensation Programs (Temporary positions have option to enroll).
- 15 days paid annual (vacation) leave per year.
- 15 days paid sick leave per year.
- Option to designate 10 days of earned paid sick leave per year as family sick leave.
- 13 paid state holidays.
- Workers’ Compensation Benefits.
Benefits For State Employees
The state of South Carolina offers eligible employees generous benefits, including health and dental insurance; retirement and savings plan options; and paid vacation and sick leave. Plus, work-life balance programs such as telecommuting and flexible work schedules are available to employees of some state agencies.
Insurance Benefits
Eligible employees may enroll in health insurance, which includes prescription coverage and wellness benefits. Other available insurance benefits include dental, vision, term life insurance, long term disability and flexible spending accounts for health and child care expenses.
Retirement Benefits
State employees are also offered retirement plan options, including defined benefit and defined contribution plans. Additionally, eligible employees may elect to participate in the South Carolina Deferred Compensation Program, which is a voluntary, supplemental retirement savings plan offering 401(k) and 457 plan options.
Workplace Benefits
State employees may also be eligible for other benefits, including tuition assistance; holiday, annual and sick leave; and discounts on purchases, travel and more.
Note: The benefits above are available to most state employees, with the exception of those in temporary positions. Employees in temporary grant and time-limited positions may be eligible for all, some or none of these benefits as benefits are associated with each position type. For these positions, contact the hiring agency to determine what benefits may be available.
01
What is your highest completed level of education?
- Master's Degree
- Bachelor's Degree
- Associate Degree
- Some College but No Degree
- None of the above
02
How many years of experience you have as a Data Scientist?
- 1-3 years
- 3-5 years
- 5-7 years
- 7 years or above
03
- Which programming languages and tools are you proficient in? Check all that apply.
- SQL
- Python
- R
- DAX
04
- Do you have more than 3+ years Power BI experience?
- Yes
- No
05
- Do you have experience working with data warehouses?
- Yes
- No
06
- Have you ever worked in an environment with multiple databases or data sources that required data standardization or reconciliation?
- Yes
- No
07
- Do you have experience working with datasets larger than 10M+ records?
- Yes
- No
- Required Question
