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Weekend Data Scientist Deep Learning Jobs in Illinois

... Learning/Deep Learning * Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc ... Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ...

... Learning/Deep Learning * Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc ... Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ...

Design and build supervised, unsupervised, and deep learning models to solve high-impact business ... Mentor junior data scientists and analysts, and contribute to best practices across the data ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques ... Learning/Deep Learning * Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g ...

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g ...

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g ...

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the ...

You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the ...

You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the ...

As a Data ScientistorSenior Data Scientist - Federal, you will work with some of the largest ... Experience with deep learning, natural language processing, computer vision, or application of ...

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning ... Collaborates with data scientists and other stakeholders to understand data and modeling needs and ...

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Weekend Data Scientist Deep Learning information

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

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 hours ago


Reyes Holdings rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

136th of 434 rated food and drinks producers


Job description

Position Responsibilities: 

  • Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

  • Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions

  • Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance

  • Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

  • Document lessons learned and process improvement techniques

  • Other duties as assigned 

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 


Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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