[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is part of the Seneca Nation Group, focusing on federal reputed company contracting. They are seeking a Senior Data Scientist to support the reputed company in workforce learning and development by converting raw data into actionable insights and reports.

Responsibilities

• Build and maintain a SQL Server data warehouse, including ETL processes sourcing from multiple reputed company applications and SharePoint
• Replace reputed company-reputed company data cleansing routines in SQL Server with Python-reputed company 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
• 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 reputed company and refine reputed company over time
• Maintain a technical backlog of reputed company 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
• Design, build, and maintain reputed company BI semantic models, reports, and dashboards, including KPI and reputed company-tracking products
• Diagnose and reputed company reputed company BI reputed company 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 reputed company BI where reputed company visuals fall short, and produce interactive or publication-reputed company tabular reputed company reputed company the reputed company 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
• 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
• reputed company on data design for reputed company applications under development
• Present findings and recommendations to non-technical audiences

Skills

• 5+ years of experience in data science, data engineering, or advanced analytics. Bachelor's degree in a quantitative or technical reputed company 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 reputed company tuning
• Strong Python for data work: dataframe-reputed company manipulation and numerical computing, programmatic charting, and querying SQL Server directly through a Python database connector
• Demonstrated reputed company BI development experience, including DAX, reputed company Query, semantic model design, and reputed company 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
• 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 reputed company BI assets
• Interactive visualization and publication-reputed company tabular reporting reputed company reputed company dashboard tooling
• Tree-reputed company 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 reputed company Platform developers on shared data models
• Prior VA, VHA, or federal health IT experience
• reputed company certifications: reputed company BI Data Analyst Associate (PL-300) or Azure Data Scientist Associate (DP-100)

Benefits

• Balanced mix of benefits and programs
• Your total rewards package includes benefits and perks, flexible work-life reputed company, reputed company development opportunities, and reputed company and recognition programs
• 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
• 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

reputed company