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Data Scientist II, Client Analysis

Socure Tysons, VA 📍 USA Remote

Tysons, VA

Today

$150k - $185k/yr Full time Advanced Analytics Big Data Data Analysis

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Job Description

Socure is hiring a Data Scientist II for its Data Science, Client Analysis team, working remotely across the USA.

Responsibilities

Analyze large-scale customer data to generate actionable insights
Explain model performance and describe how Socure can help customers build optimal risk management policies
Serve as a Data Science advocate by understanding Socure solutions (products, models, and algorithms) and customers’ risk challenges
Create data stories that demonstrate how Socure can help customers eliminate identity fraud, streamline the end-user experience, and support risk management holistically
Provide thought leadership and act as the customer voice in building the next generation of Socure’s core models and product
Build tools and automated workflows to improve analysis speed, accuracy, and reproducibility
Partner with GTM teams (Sales, Solution Consultants, Account Managers, and Technical Account Managers) to develop analysis approaches and identify upsell opportunities and product optimizations
Build ML models when exploring alternative approaches versus production-established models is advantageous

Requirements

Degree in a quantitative field, or equivalent work experience (advanced degree preferred)
2+ years of experience in data science, data analysis, or analytics engineering
Strong theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
Clean, performant Python coding experience, plus 2+ years working with massive real-life datasets
Experience querying relational databases using SQL
Experience with cloud tools and technologies such as AWS, Azure, Databricks, or GCP
Ability to communicate insights through data storytelling (dashboarding, interactive data stories, actionable presentations)
Experience explaining complex algorithms and analyses (ML/AI models) to non-technical audiences
Strong verbal and written communication skills, comfortable delivering presentations with clear, complete messages
Thrives in a remote startup environment with a focus on setting goals and accountability
Experience in identity verification and fraud prevention (strongly preferred)

Tools and Technologies

Python, PySpark, Pandas, NumPy
H2O, SHAP, Seaborn, Jupyter
SQL, Redshift, Snowflake
S3, Databricks, Apache Spark, Apache Arrow, Amazon EMR
Airflow, SFTP/PGP, webhook data, Git
Tableau, Looker
JSON, transformers, clustering, graph analytics, LLM/agentic workflows

Compensation

USD 150,000 - 185,000 per year

Equal Opportunity Employer

Socure values diversity in all forms
Accommodations are available during the application or hiring process, including interview or onboarding support; contact your Socure recruiting partner directly

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22d ago

Staff Data Scientist

Evolve Vacation Rentals Remote 📍 United States Remote

Remote

22d ago

$180k - $195k/yr Full time Data Build Tool Data Pipeline Data Pipelines

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Job Description

Evolve Vacation Rentals is hiring a Staff Data Scientist as an individual contributor to lead high-impact applied ML and data science work tied to data product initiatives. In this remote role, you will help drive production-grade machine learning from end to end, with direct impact on forecasting and pricing decisions.

What you’ll do

Drive the technical direction and hands-on delivery for one or two prioritized applied ML or data science initiatives.
Turn business opportunities into decision frameworks, technical approaches, clear success measures, and adoption and impact evaluation plans.
Own end-to-end production ML systems, including data and feature pipelines, training and evaluation, batch or online inference, deployment, monitoring, failure handling, and ongoing iteration.
Contribute to forecasting and demand/price-elasticity estimation, causal measurement, and optimization work that supports pricing and revenue decisions.
Design and analyze experiments and quasi-experiments to evaluate product, model, and policy changes.
Set reusable standards for testing, reproducibility, versioning, observability, documentation, and responsible model operation, and review team designs and code.
Collaborate with Product, Engineering, Data Engineering, Revenue Management, and other business owners to make technical tradeoffs and integrate models into products and operating workflows.
Mentor data scientists, strengthen the team’s technical judgment, and create leverage beyond your own projects while staying hands-on.

Requirements

Typically 6+ years applying data science, statistics, econometrics, or machine learning to consequential business problems.
Demonstrated Staff-level scope, including leading ambiguous cross-functional DS or ML work from early ideas through sustained production use, influencing technical direction beyond a single project, and building leverage for other contributors.
Strong Python and SQL skills, with the ability to write tested, maintainable production code and work effectively with large datasets.
Experience owning production ML systems, including deployment or scoring, monitoring, failure handling, operational support, and post-launch iteration.
Applied statistics and model evaluation judgment, including experimentation and causal inference fundamentals, with experience contributing to economic or optimization work.
Ability to connect technical decisions to business outcomes and communicate tradeoffs clearly to technical, product, business, and executive audiences.
A self-directed, collaborative working style that supports prioritization across a broad problem space, direct feedback, influence without formal authority, and hands-on execution in a lean remote environment.

Tools and technologies

Python, SQL, Snowflake, dbt

Compensation

Annual base salary: USD 180,000 - 195,000, depending on relevant experience.
Eligible for equity and a variable annual bonus based on both company and individual performance.

Benefits

Industry-competitive pay, equity, and a 401(k) with a 4% immediate vesting match.
Paid parental leave: 16-18 weeks for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
Comprehensive medical, dental, and vision plans, including 100% employer-paid dental and vision for individual coverage, a low-cost medical option, 10 free mental health visits, and pet insurance.
Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday.
Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
World-class onboarding, learning, and development resources.
Employee Resource Groups supporting diverse communities at Evolve.

Location and eligibility

All Evolve team members must live in one of the approved locations by their first day.
Can hire from anywhere in the U.S. except D.C. and Hawaii.
Some positions may have restrictions based on compensation in California, Maryland, New York, Pennsylvania, Rhode Island, and Washington.
If you live in Colorado, you can work remotely anywhere in the state, at the downtown Denver office, or a hybrid of both.
If you are planning to move soon, the recruiter can review your application again.

Additional notes

Evolve is committed to diversity and inclusion and participates in e-Verify for all positions.
Candidates with a disability or special need requiring accommodation during the hiring process should let their recruiter know.

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22d ago

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

22d ago

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

As a Senior Data Engineer at Suncoast Credit Union, you will design, evaluate, and test data infrastructure that enables reliable data ingestion, processing, and interpretation. This role supports ETL pipeline development, data modeling and governance, analytics and natural language processing modules, and ongoing collaboration with business partners to translate requirements into scalable data architecture.

Key Responsibilities

Build systems and infrastructure to collect and process data aligned to company needs and goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction.
Use existing infrastructure to fulfill data-related requests, including data housekeeping, cleansing, normalization, hashing, and implementing required data model changes.
Analyze data to identify anomalies, trends, and correlations across related datasets.
Design, develop, and implement natural language processing software modules.
Troubleshoot issues, identify potential solutions, and resolve them accordingly.
Partner with business counterparts to define data requirements and update requirement document templates.
Work with the manager to translate business requirements into appropriate schema and data models.
Ensure design efficiency to minimize data refresh lag between systems so reporting remains timely.
Deploy data architectures based on manager-defined standards that support Suncoast’s data strategy and information architecture.
Follow measurable processes, tools, and engineered data management solutions to support data platforms including data warehouses, lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it for usability, and load it into data platforms.
Establish data governance and quality standard operating procedures and best practices.
Use Azure Data Factory to create pipelines that create, move, and transform data across the data stack.
Architect advanced data solutions for current and future processes.
Mentor teammates and provide advisory support.
Maintain knowledge of current trends, laws, and issues impacting the area of expertise.
Attend educational events to increase professional knowledge.
Complete annual compliance and information security training to understand employee responsibilities related to effective programs.

Required Qualifications

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field (a comparable combination of work experience and training may substitute for education).
7+ years of experience making data usable to end users in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, and optimizing and indexing, plus foundational knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact SQL.
Microsoft Azure (5 years): portal and resource navigation.
Azure Data Factory (5 years): developing pipelines, pipeline activities, troubleshooting, etc.
REST API experience.
GitHub experience creating, updating, and submitting code.
Agile methodology (1 year): Kanban method of limiting work in progress.
Experience developing ETL processes.
Experience with Delta Lakes and Lakehouse Architecture.
2+ years of experience designing data structure for a production environment.
Ability to prioritize tasks by managing competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized approach to task management.
Ability to analyze and resolve difficult and often complex problems.
Strong written, verbal, and interpersonal communication skills to work with members, staff, vendors, and government regulators.
Strong knowledge of credit union products, services, policies, and procedures, including credit union computer systems and required software applications.
Strong knowledge and understanding of regulatory compliance.

Technologies

Microsoft SQL Server
SSRS
SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
GitHub
Agile Methodology and Kanban
Delta Lakes
Lakehouse Architecture

Compensation and Position Details

Compensation: $86,000 to $115,000 per year (based on credentials and experience).
Location: Remote; candidate must reside in Florida.
Position Type: Full Time.

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit: https://careers.suncoastcreditunion.com/benefits.

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, please visit https://careers.suncoastcreditunion.com/.

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24d ago

Lead Data Scientist

Humana Puerto Rico 📍 Puerto Rico Remote

Puerto Rico

24d ago

$157k - $215k/yr Full time Manager Advanced Analytics Analytics

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Job Description

Humana is seeking a Lead Data Scientist to drive advanced analytics that turn complex, high-volume data into actionable insights. This remote role is based in Puerto Rico and supports executive decision-making and strategy, with a strong focus on policy adherence measurement and scalable analytics implementation.

The Lead Data Scientist will apply mathematics, statistics, modeling, business analysis, and technology to develop analytic datasets, build reporting and projection outputs, and deliver models and presentations that guide functional strategies. The position also requires partnering across national teams to operationalize analytics related to compliance, including MHPAEA and other HUM policies.

Key Responsibilities

Develop, maintain, and collect structured and unstructured data sets for analysis and reporting.
Create reports, projections, models, and presentations to support business strategy and tactics.
Advise executives on functional strategies, often at a segment-specific level.
Act as a thought partner to shape innovative analytics solutions that produce actionable insights for policy adherence, improving compliance, operational consistency, and decision-making.
Research, design, and implement a policy adherence metric using FRAC and PA denials information through advanced data modeling techniques.
Design valuation model(s) to measure savings associated with removing outliers that are non-compliant with the policy adherence metric.
Partner with National BH/Contracting/Medicaid/ND&PPS teams to support operational use of the metric, including compliance with MHPAEA and other HUM policies.
Contribute to future measurement approaches for ancillary/inpatient psychiatric provider types and other opportunity areas.
Manage stakeholders and expectations across teams, including data source owners, compliance, policy/governance, business, and PTC/National program partners.
Influence priorities, tradeoffs, and roadmap decisions to drive implementation of a scalable solution.

Required Qualifications

Master's Degree.
Minimum 8 years of professional experience in data and analytics, transforming data sets into actionable insights and reporting.
Minimum 5 years using SQL.
Minimum 4 years of project leadership experience.
Experience using mathematics, statistics, modeling/Machine Learning modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
Demonstrated experience working on problems across a range of scope and complexity, from moderate to substantial.
Experience developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting.
Experience creating reports, projections, models, and presentations to support business.
Ability to exercise independent judgment and decision-making on complex issues related to job duties and tasks.
Ability to work under minimal supervision using independent judgment.

Technologies

SQL
Databricks
HireVue
FRAC
PA denials
MHPAEA

Benefits

Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance

Work-At-Home Requirements

At minimum, download speed of 25 mbps and upload speed of 10 mbps is recommended; wireless, wired cable, or DSL connection is suggested.
Satellite, cellular, and microwave connections can be used only if approved by leadership.
Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI/HIPAA information.

Preferred Qualifications

Doctorate degree
Experience with claims datasets
Experience with Databricks

Additional Information

During the hiring process, Humana may contact you via text message and email to gather more information using the HireVue platform.
HireVue Text, Scheduling and Video technologies allow interaction at the time and location most convenient for you.
If selected to move forward from application prescreen, you may receive correspondence inviting you to participate in a pre-recorded Voice, Text Messaging and/or Video interview.
Your recorded interview will be reviewed, and you will be informed if you will be moving forward to the next round of interviews.

Schedule, Location, and Pay

Location: Puerto Rico (remote)
Scheduled weekly hours: 40
Pay range: USD 156,500 - 215,300 per year
This job is eligible for a bonus incentive plan.

Travel

While this is a remote position, occasional travel to Humana’s offices for training or meetings may be required.

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28d ago

Data Analyst 2

Optum Eden Prairie, MN 📍 United States Remote

Eden Prairie, MN

28d ago

$73k - $130k/yr Full time 3d Design Tools Alteryx Analytics

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Job Description

Optum is hiring a Data Analyst 2 to help drive outcomes of studies through rigorous analysis, review, forecasting, trend identification, and clear presentation of insights for operational and business planning. This role will also take ownership of savings logic governance for Provider Education, partnering across internal teams and external collaborators to keep logic, reporting, and performance communication consistent.

The position is based in Eden Prairie, MN with remote work available. The target salary range is USD 72,800 - 130,000 per year, and the minimum experience requirement is 3 years.

What you’ll do

Own the savings logic for Provider Education as the central point of responsibility
Align methodologies between Matrix Partners
Provide transparency and consistency of savings logic to internal and external stakeholders
Support Provider Education programs with data integrity, reporting, and logic-related issue resolution
Serve as a liaison between Matrix Partners and ensure alignment with PE operational leadership
Translate savings logic and explain program methodology to internal matrix partners for consistent understanding of performance metrics
Communicate savings methodology, identification logic, and program performance to external clients, including Coding, Finance, and Audit leadership
Ideate and support the development of dashboards and reporting solutions to improve visibility into PE performance, leveraging AI capabilities
Partner with PE Operations and development resources to intake new coding modules and perform savings estimation
Execute ad-hoc scripts that support invoicing and report values to Finance

Minimum qualifications

3+ years of Microsoft SQL coding experience, including writing queries and creating schemas or maintaining tables (or similar)
3+ years of SQL Server Management Studio experience (or similar)
3+ years of Microsoft Excel
3+ years of Tableau (or similar data visualization tools)
3+ years of Alteryx (or similar ETL and transformation tools)

Tools and technologies

Microsoft SQL
SQL Server Management Studio
Microsoft Excel
Tableau
Alteryx
Amazon Redshift

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Preferred qualification

Amazon Redshift

Application deadline

This role will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. The job posting may come down early due to volume of applicants.

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1mo ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

1mo ago Closed

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

GitHub, Inc. is hiring an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats across GitHub at scale. The role also involves identifying vulnerabilities tied to abuse, performing ad-hoc analysis, and assessing the impact of safety and integrity initiatives.

Responsibilities

Design, build, and deploy agentic solutions using large language models for large-scale detection and prevention of fraud, abuse, and security threats, including content classification and multi-step agentic investigations.
Build production-grade systems that operate reliably against high-volume event streams, leveraging AI coding assistants to accelerate and improve development.
Develop and operate scalable machine learning systems on cloud platforms, including Azure AI Foundry, to train, deploy, and serve models and agentic solutions in production.
Evaluate and improve existing models and agentic solutions through offline evaluations, including tool-use loops and LLM-as-judge evaluation, along with performance metrics and feedback from operational deployments.
Identify vulnerabilities in products that can lead to abuse and consult with product teams during reviews of new features.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and content moderators, to integrate agentic solutions into production systems.
Document the systems you help build and support the technical growth of peers.

Requirements

4+ years of experience in machine learning or a related field; or a Bachelor’s degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field plus 2+ years of machine learning experience; or a Master’s degree in Machine Learning or related fields; or equivalent experience.
Strong understanding of large language models, including hands-on experience applying them at scale, ideally for classification and agentic workflows or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems, such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including work with imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience in responsible AI and Safety-by-Design.
Experience handling user data and privacy.
Solid understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration
Empathy
Quality
Positive Impact
Shipping

Compensation

The base salary range for this role is USD $107,700.00 to USD $285,900.00 per year.

Locations

Remote (United States)

Leadership Principles

GitHub values: Customer-obsessed, Ship to learn, Growth mindset, Own the outcome, Better together, Diverse and inclusive
Manager fundamentals: Model, Coach, Care
Leadership principles: Create clarity, Generate energy, Deliver success

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1mo ago

Machine Learning Engineer

Twilio Remote 📍 Ireland Remote

Remote

1mo ago Closed

Full time AI Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Twilio is hiring a Machine Learning Engineer on the Conversation Intelligence team to build AI-powered features that derive meaning from voice and messaging data at scale.

Responsibilities

Design and develop machine learning solutions with focus on accuracy, performance, security, and scalability
Build and maintain end-to-end AI/ML pipelines, covering data ingestion, feature engineering, model development, validation, and deployment, with guidance from senior engineers on complex architectural decisions
Instrument AI/ML services using metrics, logging, and telemetry to track model performance and operational health against defined SLOs
Participate in on-call rotations, supporting progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
Collaborate through planning, design, and code review to contribute to product and technical discussions, and improve overall code quality through review feedback

Requirements

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent practical experience)
2+ years of experience in machine learning engineering or applied ML
Demonstrated proficiency in Python and at least one ML framework: PyTorch, TensorFlow, or JAX
Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy
Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud infrastructure on AWS, GCP, or Azure
Proficiency in Python (preferred) or another similar object-oriented language
Experience using Large (or Small) Language Models within software systems
Excellent written and verbal communication skills, with the ability to explain complex technical topics to technical and non-technical audiences

Technologies

Python
PyTorch
TensorFlow
JAX
Hugging Face Transformers
NLTK
SpaCy
AWS
GCP
Azure

Desired

Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context
Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
Familiarity with MLOps/LLMOps tooling for maintaining models in production, including testing, versioning, model registry, retraining, and monitoring

Benefits

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
A retirement savings program

Location

Remote from Ireland

Travel

Occasional travel may be required for project or team in-person meetings

Recruitment Fraud Notice

Twilio will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process
Job offers are not made without a formal interview process
Interviews will not be conducted exclusively through text-based messaging apps
Please use an official @twilio.com email address when engaging with recruiters

$25 - $32/hr Full time Analyst Analytics Business Analytics

4mo ago

Data Analyst, Population Health & Value-Based Care

Western Healthcare Alliance Grand Junction, CO 📍 Colorado Remote

Grand Junction, CO

4mo ago Closed

$29 - $36/hr Full time Analyst Analytics Business Analytics

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