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1mo ago

Enterprise Data Analyst

Husch Blackwell LLP Austin, TX

Austin, TX

1mo ago Closed

$105k - $237k/yr Full time Artificial Intelligence Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 12, 2026).

Job Description

Austin-based Enterprise Data Analyst role in the firmwide Data Science shared-services function, turning client and internal data into actionable reporting and insights.

Responsibilities

Analyze large, complex datasets from client and internal Firm sources to uncover trends, patterns, and actionable insights
Clean, transform, and structure data to support accuracy, consistency, and analysis readiness
Use statistical and data-modeling techniques to address business questions and inform decisions
Leverage AI and generative-AI tools to speed up analysis, automate routine tasks, and improve data products
Convert stakeholder questions into clearly defined analytical problems, prioritizing by impact and urgency
Design, build, and maintain Power BI dashboards as core everyday reporting tools
Create automated, self-service reports and visualizations in Power BI and Tableau for different Firm audiences
Apply data storytelling to deliver client-facing presentations and executive-level reports that drive action
Partner with the Data Science Information Design and Engineering function for information-rich analyses across multiple media types
Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics
Collaborate with Data Engineering to source, integrate, and validate Firm data
Develop and apply data quality standards to maintain reliable and trustworthy outputs
Document data sources, definitions, and methodologies for consistency and reuse
Maintain and enhance datasets, models, and reporting pipelines over time
Work across the Firm, including Finance and client-facing groups, to gather requirements and align on objectives
Connect analytical findings to business outcomes and Firm priorities
Share knowledge and best practices to strengthen data and analytics capabilities across the Firm
Identify opportunities to automate, improve, and scale analytics as the function expands
Contribute to building enterprise data and analytics capabilities over time
Research and study to continually improve reporting and business intelligence delivery

Requirements

Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field (or commensurate professional and educational experience)
3+ years of experience in data analysis, business intelligence, or a related analytical role
Advanced, demonstrable Power BI proficiency including building, publishing, and maintaining production dashboards
Strong proficiency in Excel and SQL, including querying and working with large, complex datasets
Proficiency with basic statistical and analytical tools, including the Python statistical ecosystem
Experience with data warehouses, databases, and modern BI/data platforms
Strong data storytelling skills, including clear visualization design and client-facing presentation experience
Experience with statistical modeling, regression analysis, and null hypothesis significance testing
Proven ability to independently scope and lead complex data analysis projects
Experience analyzing financial and operational performance metrics and drivers
Ability to translate complex data into clear implications and actionable recommendations
Comfort working with large, complex datasets and developing data quality standards
Experience working directly with senior stakeholders and, where appropriate, clients
Client-service mindset with responsiveness, proactive follow-through, and trusted-advisor behavior
Comfort working across strategic and tactical levels
Ability to thrive in fast-paced environments with shifting priorities; strong attention to detail and accuracy under pressure
Eagerness to contribute beyond assigned tasks and support growth of a firmwide analytics function
Understanding of data confidentiality and the sensitivity of legal and client information

Technologies

Power BI
Tableau
AI
generative-AI
Excel
SQL
Python
data warehouses
databases

Benefits

Medical and dental coverage
Life insurance
Short-term and long-term disability insurance
Pre-tax flexible spending account for certain medical and dependent care expenses
Employee assistance program
Paid Time Off
Paid holidays
Participation in a retirement plan program after meeting eligibility requirements
More

Preferred Qualifications

Experience supporting multiple business units or functions in a shared-services or enterprise environment
Experience with data pipeline or ETL processes and working alongside data engineers
Experience applying AI and generative-AI tools to accelerate and enhance analytics
Familiarity and comfort with executive level communication and presentations

Location: Austin, TX (hybrid)

Compensation: USD 105,000 - 237,000 per yearly

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1mo ago

Data Analyst

Cascade Comprehensive Care Inc Klamath Falls, OR 📍 Oregon Remote

Klamath Falls, OR

1mo ago Closed

Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Sep 12, 2026).

Job Description

Join a team supporting strategic decision-making through data analysis, reporting, and data handling.

Responsibilities

Extract, compile, validate, model, and analyze data to produce meaningful reports for end users.
Use data to build clear narratives, improve processes, and pursue answers for complex challenges.
Manipulate and analyze large, often disorderly datasets, working independently or as part of a collaborative team.
Partner with internal and external groups to design and execute analytic studies for business and research questions.
Manage multiple tasks while meeting time constraints and user requirements.
Collaborate with contractors, vendor representatives, and internal department team members.
Prepare reports and visualizations using SQL, SSRS, MS Excel, Tableau, and/or other tools, drawing from medical, pharmacy, provider, clinical, and claims data sources.
Present findings and reports to internal and external audiences.
Apply strategic thinking to improve data-related functions, support continuous improvement, and identify automation opportunities.
Select effective approaches for extracting and presenting complex datasets and information.
Investigate root causes to resolve data questions or data discrepancies.
Maintain strong organization, critical thinking, and attention to detail across all duties.
Produce precise written documentation and presentations that support informed management decisions.
Work with internal teams on assigned projects and act as a consultant for system requirements and data needs.
Apply extensive knowledge of healthcare data, metrics, systems, and standards.
Assist with the development and maintenance of desktop processes.
Maintain confidentiality and comply with HIPAA rules and regulations.
Maintain punctual, regular, and predictable attendance.
Work collaboratively in a team environment with a spirit of cooperation.
Demonstrate excellent communication skills, including presentation, persuasion, and negotiation, and the ability to remain calm and courteous under pressure.
Follow direction from the manager.

Requirements

Bachelor’s degree from a four-year college or university.
1 to 3 years of related experience and/or training, or an equivalent combination of education and experience.
Advanced skills working with hardware, software, support, and management of computer systems, with strong adaptability to newer applications.
Advanced skills working with programming and networking computer software and systems.

Tech Stack

SQL
SSRS
MS Excel
Tableau
HIPAA

Benefits

Vacation
Medical, dental and vision insurance
401(k) pension plan

Location: Klamath Falls, OR (remote)

Minimum Experience: 1 years

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1mo ago

Senior Data Scientist (Internal Audit Model & AI Risk)

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

1mo ago Closed

$99k - $156k/yr Full time Senior Ai Risk Artificial Intelligence

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Lead independent internal audit reviews focused on AI and model risk at Navy Federal Credit Union.

Responsibilities

Assess AI and model governance activities, including inherent risk ratings, model validations, materiality of model changes, and ongoing performance monitoring
Plan and conduct independent internal audit engagements covering AI products, AI-enabled systems, and models, coordinating scope, timelines, stakeholder expectations, and communication
Develop and execute model testing plans using specialized model risk knowledge and technical approaches
Evaluate model development, implementation, and use across conceptual soundness, assumptions, methodology, limitations, data quality, and monitoring
Extract meaningful insights from large data and metadata sources
Test hypotheses, analyze results, and interpret findings using sound judgment within defined procedures
Develop and code moderately complex software programs, algorithms, and automated processes to support analysis and assurance activities
Use modeling and trend analysis to analyze data and produce insights
Apply understanding of best practices and ethical AI
Transform data into charts and tables that support effective decision making
Build working relationships with team members and subject matter experts; lead small projects and initiatives
Document and present analysis findings using effective written and verbal communication for diverse stakeholders
Provide independent assurance through assessments of complex data science, machine learning, generative AI, and agentic AI capabilities across the organization
Evaluate relevant ecosystems by reviewing governance frameworks, risk management practices, AI/model lifecycle controls, and oversight effectiveness across first and second lines of defense
Assess risks tied to advanced analytics and AI-enabled solutions, including complexity, uncertainty, transparency, and operational risk
Act as a subject matter expert to Internal Audit, senior management, and business partners on end-to-end AI/model lifecycle management, monitoring, regulatory expectations, and industry practices

Requirements

5-7 years experience in data analysis, statistical modeling, or regression analysis, including language models, LLMs, and/or Generative AI technologies
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
SQL and at least one of: R, Python, Hadoop, SAS, SPSS, Scala
Knowledge of AI platforms and ecosystems supporting machine learning, generative AI, and LLM-enabled systems, including Microsoft Copilot Studio, Azure AI Foundry, AWS, and Databricks
Model lifecycle execution including model development, validation, and governance
Technical writing; data storytelling and technical presentation skills
Research skills, interpersonal skills, and working knowledge of procedures, instructions, and validation techniques
Communication, critical thinking, collaboration and relationship building, and initiative using sound judgment
Technical capabilities such as Big Data analysis, coding, project management, and technical writing
Problem solving with responsiveness to issues and problems as identified
Bachelor’s degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or similar quantitative fields

Technologies

SQL, R, Python, Hadoop, SAS, SPSS, Scala
Microsoft Copilot Studio, Azure AI Foundry, AWS, Databricks
LLMs, Generative AI

Additional Information

Location: Pensacola, FL (onsite)
Address: 5510 Heritage Oaks Drive, Pensacola, FL 32526
Salary: USD 99,400 - 155,850 per year
Hours: Monday - Friday, 8:00AM - 4:30PM
Sponsorship: Navy Federal Credit Union currently does not provide sponsorship for this role
Work authorization: Applicants must be authorized to work in the United States without current or future sponsorship
Referral eligibility: This position is eligible for the TalentQuest employee referral program

Desired Qualifications

Experience with model validation/model risk management, AI and agentic risk management, enterprise risk management, or internal audit
Deep knowledge of SR 11-7 and/or ASOP 56
Understanding of model practices used in credit risk management, fraud detection, BSA/AML, operations, treasury & finance, and marketing models
Knowledge of regulations and frameworks including CECL, CCAR, Anti-Money Laundering, ECOA, FCRA, NIST AI Risk Management Framework, and ISO/IEC 42001 Artificial Intelligence Management System
Advanced knowledge of Navy Federal Credit Union instructions, standards, and procedures
Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related area

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1mo ago

Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

Full time Artificial Intelligence Cloud Cloud Infrastructure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Work on an AI team delivering production-scale computer vision for enterprise applications in Sunnyvale, CA (onsite).

Responsibilities

Design, build, and optimize computer vision solutions for real-world production environments
Create scalable AI inference pipelines using NVIDIA DeepStream
Tune GPU performance to support high-throughput, low-latency computer vision workloads
Develop and deploy distributed computer vision applications across large-scale infrastructure
Design and implement microservices that support AI and computer vision platforms
Collaborate with AI researchers, software engineers, and infrastructure teams to ship production-ready systems
Improve performance, scalability, and reliability across GPU-accelerated environments
Identify and resolve performance bottlenecks by troubleshooting and optimizing inference pipelines

Requirements

Strong experience with computer vision technologies and production deployments
Hands-on NVIDIA DeepStream experience (required)
Strong understanding of GPU optimization and performance tuning
Experience building microservices architecture
Experience with distributed computing systems
Strong programming skills in Python and/or C++
Experience deploying scalable AI applications in production
Excellent problem-solving and performance optimization skills

Technologies

NVIDIA DeepStream, NVIDIA CUDA, TensorRT
Python, C++
OpenCV, GStreamer
Microservices architecture
GPU optimization, NVIDIA SDKs
Kubernetes, Docker
AWS, Azure, GCP, cloud platforms
Machine learning models, deep learning models

Preferred qualifications

Experience with NVIDIA CUDA or TensorRT
Experience with OpenCV, GStreamer, or NVIDIA SDKs
Familiarity with Kubernetes and Docker
Experience with cloud platforms (AWS, Azure, or GCP)
Experience deploying machine learning or deep learning models in production
Knowledge of real-time streaming and edge AI solutions

Required skills (must have)

NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing

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1mo ago

Data Scientist, ITA

AssistRx, LLC New York, NY

New York, NY

1mo ago Closed

$105k - $134k/yr Full time Manager Python Analytics

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

AssistRx, LLC seeks a Data Scientist, ITA to serve as a primary analytical contributor for healthcare program performance analytics. The role designs and executes analytical models, delivers program insights across KPI families, and supports client-facing deliverables including QBR materials and insight-focused dashboards.

Role Responsibilities

Design and execute ad hoc and recurring analyses for ITA client engagements across six defined KPI families.
Build and maintain analytical models within the six KPI families, spanning patient outcomes through data quality, with consistent definitions, reproducible methodology, and appropriate statistical rigor.
Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics to surface actionable insights.
Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods, framing findings as hypotheses supported by evidence.
Support quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP.
Create clean, client-ready analytical exhibits such as charts, tables, and written summaries formatted for manufacturer audiences, including market access leadership and patient services teams.
Act as a technical resource in select client meetings, communicating methodology and findings clearly to non-technical stakeholders.
Define analytical specifications and prototype outputs for validated insights, partnering with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards.
Own the analytical logic, acceptance criteria, and narrative framing for dashboard delivery while the report development team manages the production build.
Maintain documentation covering analytical methodologies, data transformations, and code to support reproducibility and team knowledge management.
Surface upstream data quality issues that affect insight reliability and partner with data governance teams on remediation.
Contribute to the evolution of the ITA analytical framework as new client engagements introduce novel questions and additional KPI families.
Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis.

Required Qualifications

Approximately 5 years of experience in healthcare analytics, including direct experience in one or more areas: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM).
Strong proficiency in SQL.
Experience querying and manipulating data in cloud data warehouse environments, with Snowflake preferred.
Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn).
Working knowledge of statistical methods for program performance analysis, including cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks.
Experience producing structured, audience-ready analytical outputs and strong attention to how findings are communicated.
Clear, organized written and verbal communication skills, including the ability to explain quantitative findings in plain language.
Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus.

Technologies

SQL, Python, R
pandas, numpy, scipy, scikit-learn
Snowflake
ThoughtSpot, Power BI
dbt

Preferred Qualifications

Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs.
Experience working with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing platforms, benefits verification systems).
Background in patient access or market access analytics at a pharmaceutical manufacturer, including program KPI development and payor-level performance analysis.
Experience with a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting.
Experience with ThoughtSpot or Power BI.
Exposure to or curiosity about generative AI applications in analytics workflows (natural language querying, entity resolution, or automated insight generation).
Experience contributing to a client-facing analytics product or repeatable analytical framework.
Familiarity with dbt or similar data transformation frameworks.

Location and Compensation

Location: New York, NY (onsite)
Salary Range: USD 105,000 - 133,500 per yearly

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1mo ago

Data Scientist - Fraud Risk

Rain New York, NY

New York, NY

1mo ago Closed

$50k - $1,000k/yr Full time Analytics Artificial Intelligence Business Analytics

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Rain is seeking a Data Scientist - Fraud Risk to help develop real-time fraud monitoring and risk controls powered by predictive machine learning. This role focuses on fraud risk metrics, operational dashboards, and model-driven safeguards while maintaining a balance between loss savings and customer experience.

Key Responsibilities

Own fraud risk metrics, dashboards, and reports used to guide business strategy and decisions
Design and implement real-time monitoring for fraud signals, including alerting thresholds
Design, simulate, and implement real-time risk controls using both real-time and offline predictive ML models
Optimize risk controls with an emphasis on loss savings, reduced user friction, and margin improvement
Partner with go-to-market teams to communicate the technical and business value of risk controls to customers
Summarize complex analytical outcomes for leadership and non-technical stakeholders
Support partners when they have fraud concerns related to their traffic

Required Qualifications

Advanced proficiency in SQL and Python
3+ years of hands-on experience building automated fraud risk strategies and running experimentation (A/B tests), including implementation of real-time and offline predictive ML models
Ability to design, build, and maintain dashboards and fraud risk metrics
Capability to operate in ambiguous problem spaces and identify workable solutions
High autonomy, including effective prioritization of workload
Relevant quantitative bachelor’s degree or higher (Statistics, Mathematics, Engineering, Computer Science, etc.)

Technologies

SQL
Python
A/B tests
Machine learning
Predictive ML models

Location and Experience

Location: New York, NY (onsite)

Experience: Minimum 3 years

Salary

USD 50,000 - 999,999 per year

Education

Quantitative bachelor’s degree (or higher) such as Statistics, Mathematics, Engineering, Computer Science, or related fields.

Benefits

Unlimited time off (required to take at least 10 days off)
Flexible working: work from home or office
Home environment stipend for New Rainmakers
Comprehensive health, dental, and vision plans for US Rainmakers and dependents
100% company subsidized life insurance
401(k) with a 4% company match
Equity option plan
Rain Cards for testing core products and services
Health and Wellness spending using Rain Cards (gym memberships/fitness classes, massages, acupuncture, etc.)
Team summits including domestic and international team and company off-sites

Nice to Have

Experience at a high-growth fintech or financial services company
Exposure to customer-facing or GTM-facing analytics or fraud issue triaging
Background in identity risk, AML, payments fraud, or compliance analytics
Fluency in AI-assisted data analysis and data science tooling

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1mo ago

Data Scientist, Finance

Ramp Financial New York, NY

New York, NY

1mo ago Closed

$137k - $297k/yr Full time 3d Design Tools Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

The Data Scientist, Finance role at Ramp Financial focuses on building models and end-to-end data systems that turn raw information into finance-focused insights. The position partners with Finance and data engineering teams to deliver data products that can inform and influence business decisions.

Responsibilities

Develop full stack solutions, including building models that consume, transform, and expose data to stakeholders and production systems
Advance a culture of experimental design by driving a testing agenda and sharing best practices
Contribute to the Data team’s scalability by influencing processes, tools, and systems that support better decision-making
Collaborate with Finance teams such as GTM Finance and StratFin to develop financial insights and influence business decisions
Partner with data engineering teams to capture, move, store, and transform raw data into actionable insights, and work with business teams to apply those insights

Requirements

Minimum 3 years of industry experience in Data Science, Software Engineering, or Finance
Strong AI proficiency to adopt new skills and subject matter quickly
Proven record of shipping high quality products and features at scale
Ability to work effectively in a fast-paced, continuously improving start-up environment using iterative technical solutions
Familiarity with financial metrics and processes (e.g., contribution profit, financial statements, monthly close) and/or B2B enterprise sales cycle metrics and processes
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and the ability to write efficient SQL queries

Technologies

AI
SQL
Redshift
Snowflake
BigQuery
Fivetran
dbt
Looker
Hightouch
Omni
Sigma
Hex

Nice-to-Haves

Experience with the modern data stack (Fivetran, Snowflake, dbt, Looker, Hightouch, or equivalents)
Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex, or equivalent) and distributing data insights through reports and dashboards
Strong intuition for business strategy and customer empathy, including ROI, growth channels, sales cycles, and customer incentives
Strong perspective on analytics engineering development cycle, including data modeling, version control, documentation and testing, and best practices for codebase development
Experience partnering with finance teams or within the payments and financial technology space

Compensation

Target base salary: USD 137,120 - 297,330 for SF/NY
Offers equity
Final compensation depends on location and the level at which the candidate is hired

Location and Employment Details

Location: New York, NY (hybrid). HQ: New York, NY; also includes San Francisco, CA
Department: Data
Employment type: Full time
Location type: Hybrid

Benefits

Benefits listed below are available to eligible full-time Ramp employees.

Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend

United States Benefits

100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation support to NYC or SF (as needed)

Canada Benefits

Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health

United Kingdom Benefits

Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Additional Notes

If you are being referred for the role, contact the person who referred you to apply on your behalf.
San Francisco Fair Chance Ordinance: Ramp will consider for employment qualified applicants with arrest and conviction records.
Recruiting scams notice: Ramp will only contact candidates through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.