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Full Time Ge Data Scientist Jobs in Wisconsin (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI · On-site

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

Innovizant LLC

Data Scientist

Madison, WI

Madison, WI Full Time (Direct Hire) 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 ...

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Full Time Ge Data Scientist information

What does a full time GE data scientist do?

A Full Time GE Data Scientist is responsible for analyzing large datasets to extract valuable insights that inform business decisions at General Electric (GE). Their work typically involves developing statistical models, applying machine learning algorithms, and communicating findings to stakeholders across various departments. They collaborate with engineers, product managers, and IT professionals to support GE's digital transformation and drive innovation. The role also includes data preprocessing, visualization, and ensuring data quality and integrity. Full-time data scientists at GE often work on projects related to industrial analytics, predictive maintenance, and operational efficiency.

What are the key skills and qualifications needed to thrive as a full time GE data scientist?

To thrive as a Full Time GE Data Scientist, you need a solid background in statistics, machine learning, and data analysis, typically supported by a degree in data science, computer science, or a related field. Expertise in programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with GE's industrial data systems are commonly required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams make candidates stand out. These skills enable data scientists to derive actionable insights from complex datasets, drive innovation, and support critical business decisions within GE's diverse industrial environment.

What are some typical challenges a full time GE data scientist might face when working with large-scale industrial data?

A Full Time GE Data Scientist often works with massive datasets generated by industrial equipment, which can present challenges such as data quality issues, incomplete records, or inconsistent formats. Additionally, integrating data from multiple sources or legacy systems can be complex and time-consuming. Close collaboration with engineering, IT, and operations teams is essential to understand context and ensure accurate model development. Overcoming these challenges requires strong data wrangling skills, domain knowledge, and effective communication within cross-functional teams.

What is the difference between Full Time Ge Data Scientist vs Ge Data Analyst?

AspectFull Time Ge Data ScientistGe Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Geoscience, or related fields; experience with GIS and programmingBachelor's in Data Analysis, Geoscience, or related fields; proficiency in GIS tools and data visualization
Work EnvironmentResearch labs, energy companies, environmental agenciesMining companies, environmental consulting, government agencies
Employer & Industry UsageTech firms, energy, environmental sectorsMining, oil & gas, environmental consulting

Full Time Ge Data Scientists focus on advanced data modeling, machine learning, and predictive analytics using geospatial data, while Ge Data Analysts primarily handle data collection, visualization, and reporting. Both roles require strong GIS skills but differ in complexity and scope of data analysis tasks.

Full Time Ge Data Scientist jobs near you

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Re-posted 25 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

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