CrawlJobs Logo

IT Data Scientist

aurorahealthcare.org Logo

Advocate Aurora Health

Location Icon

Location:
United States

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

51.05 - 76.60 USD / Hour
Save Job
Save Icon
Apply Position

Job Description:

Department: 10126 Enterprise Corporate - Enterprise Advanced Analytics. Status: Full time. Benefits Eligible: Yes. Hours Per Week: 40. Schedule Details/Additional Information: Fully remote. Pay Range $51.05 - $76.60.

Job Responsibility:

  • Collaborate with stakeholders and subject matter experts to define and refine data-driven initiatives that enhance healthcare operations and outcomes
  • Develop a strong understanding of complex, high-volume, and heterogeneous data, ensuring rigorous data development, cleaning, and validation
  • Apply machine learning and statistical modeling techniques, including regression, classification, clustering, time series forecasting, and ensemble methods
  • Utilize LLM-based text analytics and NLP techniques to extract insights from unstructured data sources such as clinical notes and reports
  • Perform exploratory data analysis and build structured analytical workflows using Python, R, and SQL
  • Communicate findings and methodologies effectively to both technical and non-technical audiences through reports, presentations, and interactive visualizations
  • Independently manage projects, setting clear objectives, benchmarks, and milestones while balancing iterative development with accountability
  • Develop well-documented, reusable code on cloud computing platforms to support analytical pipelines
  • Follow best practices in collaborative software development, including version control (Git) and modular code design

Requirements:

  • PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Biomedical Informatics or a related field, OR a Master’s degree with 2-4 years of applied experience in data science or machine learning
  • Typically requires 2-4 years of experience in solving complex problems in an analytical environment
  • Extensive experience working with large-scale structured and unstructured data, ensuring data quality and interpretability
  • Proficiency in Python and/or R for advanced data analysis, machine learning, and model deployment, along with strong SQL skills for working with large datasets
  • Expertise in statistical modeling, machine learning, and AI techniques, including regression, classification, time series forecasting, and ensemble methods, with experience in at least some advanced techniques (e.g., Bayesian inference, causal modeling, deep learning, LLMs, NLP, or knowledge engineering)
  • Demonstrated ability to lead collaborations with stakeholders, define analytics initiatives, and mentor junior team members
  • Strong critical thinking and problem-solving skills, with an iterative and pragmatic approach to real-world challenges
  • Proven ability to translate complex data into actionable insights, using storytelling, interactive dashboards, and presentations
  • Ability to independently manage multiple complex projects, set clear objectives, and drive high-impact initiatives
  • Experience writing clean, reusable, and well-documented code and working with containerization tools like Docker for model deployment
  • Requires extensive amounts of time working at a computer
  • Work can be performed in an office environment or remotely

Nice to have:

  • Experience working with healthcare data (EHR, claims, clinical notes, imaging, operational workflows)
  • Exposure to MLOps principles, including model monitoring, lifecycle management, and CI/CD for ML models
  • Experience integrating AI/ML models into production environments, such as API-based decision support or real-time analytics
What we offer:
  • Paid Time Off programs
  • Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
  • Flexible Spending Accounts for eligible health care and dependent care expenses
  • Family benefits such as adoption assistance and paid parental leave
  • Defined contribution retirement plans with employer match and other financial wellness programs
  • Educational Assistance Program
  • Premium pay such as shift, on call, and more based on a teammate's job
  • Incentive pay for select positions
  • Opportunity for annual increases based on performance

Additional Information:

Job Posted:
February 22, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Advocate Aurora Health - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for IT Data Scientist

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Bilingual Data Scientist

Our enterprise-level client is seeking a bilingual Data Scientist with python co...
Location
Location
United States , Centennial
Salary
Salary:
35.00 - 55.00 USD / Hour
bhsg.com Logo
Beacon Hill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in a Data Scientist role (or as a Data Analyst)
  • Must be fluent in Spanish
  • Experience using different data mining techniques such as clustering, regression analysis, decision trees and support vector machines
  • Python (pandas libraries) & SQL (has database experience)
Job Responsibility
Job Responsibility
  • Support customer call centers with real time call transcription, including sentiment graphs and call summarization
  • Fulltime
Read More
Arrow Right

Data Scientist

Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to s...
Location
Location
United States , Patuxent River
Salary
Salary:
Not provided
synecticsolutions.com Logo
Synectic Solutions Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must have a bachelor’s degree in a technical or scientific field from an accredited college or university
  • Must have a minimum of three (3) or more years of relevant work experience
  • Must have an active DoD Secret Clearance or higher
  • Must be a US Citizen
Job Responsibility
Job Responsibility
  • Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
  • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
  • Visualize, interpret, and report data findings
  • Fulltime
Read More
Arrow Right

Data Scientist

At LeverX, we have had the privilege of delivering over 950 projects. With 20+ y...
Location
Location
Salary
Salary:
Not provided
leverx.com Logo
LeverX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience as a Data Scientist
  • Hands-on experience with data analysis (probability theory and statistics, table data analysis experience) and statistical libraries such as SciPy or statsmodels
  • Knowledge and hands-on experience with machine learning, including both supervised and unsupervised learning, classical models, neural networks, and popular frameworks (scikit-learn, LightGBM, XGBoost, Keras, PyTorch, and TensorFlow)
  • Proficiency in Python and the ability to create APIs for developed solutions using tools such as FastAPI, Flask, Django REST framework, TensorFlow Serving, PyTorch Serving, Docker, and others
  • Experience with reporting and visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Altair, Jupyter Notebooks, Streamlit, TensorBoard) as well as with machine learning services offered by at least one major cloud provider (AWS, Azure, or GCP)
  • Understanding of DataOps and MLOps
  • Experience working according to Agile practices
  • English B2+
Job Responsibility
Job Responsibility
  • Collaborate closely with a distributed team of Data Scientists, Engineers, and stakeholders across various time zones
  • Own the full lifecycle of AI/ML solutions, from initial research and prototyping to model deployment and monitoring in production
  • Engage with business stakeholders to gather requirements, clarify goals, and translate them into data-driven solutions
  • Leverage cloud ML services and containerized APIs to build scalable machine learning pipelines
  • Apply classical ML models and neural networks using cutting-edge frameworks for a wide range of predictive and analytical tasks
  • Utilize AI tools extensively in the SDLC process
What we offer
What we offer
  • Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
  • Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
  • Global clients based in Europe and the US, including Fortune 500 companies
  • Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
  • Healthy work atmosphere: On average, our employees stay in the company for 4+ years
  • Market-based compensation and regular performance reviews
  • Internal expert communities and courses
  • Perks to support your growth and well-being
Read More
Arrow Right

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
185300.00 - 266300.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
  • 6+ years of experience as a data scientist, data analyst, or data engineer
  • Experience supporting product development teams and driving product growth insight
  • Background in SaaS, consumer tech, or data-driven product environments preferred
  • Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
  • Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
  • Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
  • Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
  • Strong statistical foundation
  • Experience at an AI-native company, with exposure to building or scaling products powered by AI
Job Responsibility
Job Responsibility
  • Own and maintain core product data pipelines across DBT, Looker, and Omni
  • Build and refine dashboards that deliver self-serve, real-time insights
  • Lead the development and delivery of company-wide strategic insights
  • Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
  • Establish trusted partnerships as the go-to resource for product data insights
  • Collaborate with leadership to define the analytics roadmap and prioritize initiatives
  • Mentor junior team members and cross-functional partners
  • Support end-to-end analytics for all product launches
  • Deliver comprehensive strategic analyses or experiments
  • Lead or participate in cross-functional projects
What we offer
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
  • Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Read More
Arrow Right

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...
Location
Location
United States , Jersey City; New York
Salary
Salary:
142320.00 - 213480.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
  • AI/ML development experience in a Data Scientist role or similar
  • NLP development experience in a Data Scientist role or similar
  • Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
  • Experience in GenAI Model validation or AI/ML Model validation
  • Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
  • Strong organizational and project management skills
  • Risk and Controls mindset
Job Responsibility
Job Responsibility
  • Assist development teams with implementing new GenAI solutions from identification through validation phases
  • Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
  • Own and maintain GenAI solution book of work for eligible GenAI use-cases
  • Assist with preparations for internal discussions and initial submission for model validation
  • Own relationships with governance-related stakeholders
  • Monitor and maintain GenAI solution inventory data and lifecycle
  • Educate development teams on the model validation process
  • Own tracking and modeling tools
What we offer
What we offer
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages including vacation, sick leave, and paid holidays
  • discretionary and formulaic incentive and retention awards
  • Fulltime
Read More
Arrow Right

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...
Location
Location
United States , San Jose
Salary
Salary:
148000.00 - 340500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
  • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
  • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
  • Able to communicate effectively in a variety of formats and collaborate with diverse teams
Job Responsibility
Job Responsibility
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal and professional development programs
  • Inclusive workplace policies
  • Fulltime
Read More
Arrow Right
Remote jobs Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog Salaries About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy