1

Weekend Data Scientist Deep Learning Jobs in Madison, WI

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

As a Data Science Associate, you will: This role constructs complex solutions that integrate data ... Gain experience with predictive and inferential analytics, machine learning, and artificial ...

As a Data Science Associate, you will: This role constructs complex solutions that integrate data ... Gain experience with predictive and inferential analytics, machine learning, and artificial ...

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... learning, and data mining * Organizes and automates project steps for data preparation and analysis * Prepares data sets for analysis including cleaning/quality assurance, transformations ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will design, develop, and maintain data pipelines, data models, and ... machine learning, and data mining Department: School of Medicine and Public Health, Office of ...

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

next page

Showing results 1-20

Weekend Data Scientist Deep Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do weekend data scientist deep learning jobs pay per year?

As of Jul 19, 2026, the average yearly pay for weekend data scientist deep learning in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Madison, WI? The most popular types of Data Scientist Deep Learning jobs in Madison, WI are:
What are popular job titles related to Weekend Data Scientist Deep Learning jobs in Madison, WI? For Weekend Data Scientist Deep Learning jobs in Madison, WI, the most frequently searched job titles are:
Data Scientist

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Re-posted 10 days ago


Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
Experience in Statistical modeling.
Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com