Develop and implement machine learning models and deliver accurate and quality analyses that ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
Develop and implement machine learning models and deliver accurate and quality analyses that ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
Develop and implement machine learning models and deliver accurate and quality analyses that ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
Develop and implement machine learning models and deliver accurate and quality analyses that ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
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Senior Data Analyst Machine Learning information
What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?
| Aspect | Senior Data Analyst Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in Data Science, Statistics, or related field; experience with machine learning tools | Bachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills |
| Work Environment | Data analysis teams, business units, focus on applying ML models to business problems | Research and development teams, focus on model development, experimentation, and innovation |
| Employer & Industry Usage | Finance, healthcare, retail, and tech companies using ML for insights | Tech firms, startups, research institutions developing advanced models |
While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.
How does a senior data analyst machine learning typically collaborate with data science and engineering teams?
What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?
What is a senior data analyst machine learning?
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Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 6 days ago
Reyes Holdings rating
7.6
Based on 17 frontline employees who took The Breakroom Quiz
136th of 435 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
What Reyes Holdings employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Reyes Holdings
Sourced by ZipRecruiter
Industry
Food services and drinking places
Company size
10,000+ Employees
Headquarters location
Rosemont, IL, US
Year founded
1976