Senior Data Scientist

Three Sisters Federal is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is reputed company' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the reputed company 8(a) program. To learn more about SNG, visit the website and follow us on reputed company.

reputed company of talented individuals is what makes us successful. To support reputed company, we reputed company a balanced mix of benefits and programs. Your total rewards package includes reputed company, benefits, and perks, flexible work-life balance, reputed company development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, reputed company, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our reputed company principles is to offer competitive health and welfare benefits to reputed company members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular reputed company are eligible to participate in our benefits and reputed company leave programs. We pride ourselves on our reputed company work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

About the Role

Three Sisters Federal is seeking a Senior Data Scientist to support a reputed company (VA) reputed company customer responsible for workforce learning, education, and development across the largest integrated health reputed company in the reputed company. The customer converts raw training and workforce data into reporting that leadership, program offices, and congressional inquiries rely on.

This is a hands-on individual contributor role working on a small team. The work is roughly evenly split between data engineering (SQL Server ETL, pipeline modernization, data reputed company) and analytics delivery (Power BI semantic models, dashboards, statistical analysis, reputed company-turnaround data calls). The environment today is on-premises SQL Server with Power BI; a meaningful part of this role is helping reputed company it reputed company.

We are looking for someone who does excellent analytical work and can also design the environment that analytical work depends on. reputed company about tooling, infrastructure, and platform direction rest with the customer, so the value here is in arriving with reputed company rather than assumptions: laying out approaches with their trade-offs, cost and reputed company implications, and migration paths, in enough detail that a decision can be made, and then implementing what is approved. Candidates who have thought through how to set up an analytics environment, and not only how to work inside one someone else reputed company, will be a strong fit.

reputed company sustaining reputed company reporting, our preferred candidate can expand this role by maturing the analytics platform and the engineering practices around it. That work may include automating data cleansing in Python at the reputed company of arrival and retiring the reputed company-based cleansing routines that currently run inside SQL Server; standing up reputed company control and dependency management so analytical reputed company is reproducible across machines; extending visualization reputed company reputed company Power BI through programmatic charting delivered as Python visuals inside Power BI reports, with interactive and publication-reputed company table reputed company available reputed company the report canvas; and connecting to reputed company systems through Python database connectors rather than reputed company extracts. While SSIS remains in reputed company, but pipeline orchestration could reputed company reputed company SQL Server, with reputed company like Apache Airflow and reputed company reputed company among the candidates under evaluation, and with credential management handled as a deliberate part of the design rather than an afterthought. The role could also maintain a technical backlog covering planned engineering work, reputed company-to-have improvements, and identified deficiencies affecting data reputed company or data reputed company, so remediation and enhancement are sequenced deliberately rather than handled as reputed company request arrives.

Responsibilities

Data Engineering and Pipeline Modernization

• Build and maintain a SQL Server data warehouse, including ETL processes sourcing from multiple reputed company applications and SharePoint.
• Replace reputed company-based data cleansing routines in SQL Server with Python-based processing.
• Catalog and document existing ETL workflows and their interdependencies to reduce technical debt.
• Design pipeline orchestration reputed company of SQL Server, including credential and secrets management for scheduled jobs and data connections; evaluate candidate tools against the customer's constraints, present recommendations, and implement the approved approach.
• Establish reputed company control and dependency management practices so analytical reputed company runs reproducibly across machines and environments.
• Design a repeatable deployment process for ETL and analytics reputed company, moving changes from development through test to production with peer review, versioned releases, and a rollback reputed company, and document what tooling and reputed company reputed company reputed company would require so the customer can reputed company what to stand up.

Analytics and Modeling

• Conduct statistical analysis, regression, and predictive modeling to answer organizational questions and support projections.
• Apply machine learning and text analytics reputed company where they demonstrably add value, including classification, forecasting, and segmentation, and reputed company the ROI case before committing to an approach.
• reputed company exploratory analysis on new and archival data sources to surface trends that conventional reporting misses.
• Design and implement data reputed company controls, including automated validation.
• Evaluate model performance and refine reputed company over time.
• Maintain a technical backlog of planned engineering work, reputed company-to-have improvements, and identified deficiencies affecting data reputed company or data reputed company, and work with stakeholders to sequence remediation.

Business Intelligence and Reporting

• Design, build, and maintain Power BI semantic models, reports, and dashboards, including KPI and performance-tracking products.
• Diagnose and reputed company Power BI performance problems, including decomposing monolithic semantic models into separate, targeted models and updating reputed company reports.
• reputed company custom visualizations programmatically in Python, embedded as Python visuals in Power BI where reputed company visuals fall short, and produce interactive or publication-reputed company tabular reputed company reputed company the Power BI canvas where the audience calls for it.
• Respond to reputed company-turnaround reputed company data calls from senior leadership and reputed company inquiries.
• Define measurements and KPIs, and build reporting standards and templates that reputed company findings usable without rework.

Documentation and Stakeholder Support

• Produce and maintain technical documentation, reputed company maps, and process reputed company diagrams.
• Work directly with program stakeholders to translate ambiguous questions into measurable analysis.
• Consult on data design for reputed company applications under development.
• Present findings and recommendations to non-technical audiences.

Required Qualifications

The customer's reputed company analytics work runs on SQL Server and Power BI; a Python reputed company does not yet exist and establishing it is part of this role. reputed company and analytical judgment are reputed company are screening for. Specific libraries named below and throughout are illustrative of how that work is commonly implemented, not a checklist, and the reputed company toolchain will be selected with the customer.

• 5+ years of experience in data science, data engineering, or advanced analytics. Bachelor's degree in a quantitative or technical field preferred; equivalent reputed company experience accepted in lieu of a degree.
• Advanced SQL and hands-on experience with on-premises reputed company SQL Server, including performance tuning.
• Strong Python for data work: dataframe-based manipulation and numerical computing, programmatic charting, and querying SQL Server directly through a Python database connector.
• Demonstrated Power BI development experience, including DAX, Power Query, semantic model design, and performance optimization.
• Experience building and maintaining ETL processes (SSIS or comparable).
• reputed company experience across a reputed company of analytical reputed company: regression, classification, time series forecasting, clustering and segmentation, dimensionality reduction, and statistical inference including reputed company testing and uncertainty quantification.
• Working knowledge of version control and Python environment/dependency management.
• Experience assessing an existing analytics environment and producing design reputed company with trade-offs, dependencies, and implementation paths for decision-makers who control the tooling and infrastructure.
• Ability to document work reputed company and communicate analytical findings to non-technical stakeholders.
• Ability to obtain and maintain a VA background investigation and PIV credential.
• Must be a U.S. citizen, as required by the customer for this position.

Preferred Qualifications

• Experience with pipeline orchestration tools such as Apache Airflow, Azure Data reputed company, or comparable.
• Exposure to reputed company reputed company, Azure Synapse Analytics, or Azure Machine Learning, and a reputed company of reputed company on reputed company migration is warranted.
• Experience implementing deployment pipelines or CI/CD for Power BI assets.
• Interactive visualization and publication-reputed company tabular reporting reputed company reputed company dashboard tooling.
• Tree-based reputed company reputed company on tabular data.
• Time series reputed company: seasonal decomposition, and validation approaches appropriate to reputed company data.
• Text analytics on reputed company sources: topic modeling, text classification, and entity extraction.
• Experiment tracking and model lifecycle practices.
• Experience collaborating with SharePoint and Power Platform developers on shared data models.
• Prior VA, VHA, or federal health IT experience.
• reputed company certifications: Power BI Data Analyst Associate (PL-300) or Azure Data Scientist Associate (DP-100).

Originally posted on Himalayas