Design, implement, and optimize machine learning models using the Microsoft technology stack (Azure ... Apply advanced analytics to solve complex supply chain challenges, including demand forecasting and ...
Design, implement, and optimize machine learning models using the Microsoft technology stack (Azure ... Apply advanced analytics to solve complex supply chain challenges, including demand forecasting and ...
Design, implement, and optimize machine learning models utilizing the Microsoft technology stack ... Utilize statistical analysis and data mining techniques to interpret complex data sets, identifying ...
Design, implement, and optimize machine learning models utilizing the Microsoft technology stack ... Utilize statistical analysis and data mining techniques to interpret complex data sets, identifying ...
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Director of Product Development & Chief Technical Officer FLSA Status: Non-exempt SUMMARY ... They constantly operate a computer and other office productivity machinery, such as a calculator ...
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... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
Senior Data Scientist ID71658
Boca Raton, FL ยท On-site +1
... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
Senior Data Scientist ID71658
West Palm Beach, FL ยท On-site +1
... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
Senior Data Scientist ID71658
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... analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms or statistical models to automatically identify and ...
Director Data Analyst Machine Learning information
See Boca Raton, FL salary details
$32.3K - $41.1K
4% of jobs
$41.1K - $49.9K
7% of jobs
$49.9K - $58.7K
13% of jobs
$59.2K is the 25th percentile. Wages below this are outliers.
$58.7K - $67.5K
18% of jobs
The median wage is $71.6K / yr.
$67.5K - $76.3K
16% of jobs
$76.3K - $85.1K
13% of jobs
$88.4K is the 75th percentile. Wages above this are outliers.
$85.1K - $93.9K
9% of jobs
$93.9K - $102.7K
5% of jobs
$102.7K - $111.5K
9% of jobs
$111.5K - $120.3K
3% of jobs
$120.3K - $129.1K
2% of jobs
$32.3K
$78.4K
$129.1K
How much do director data analyst machine learning jobs pay per year?
What is the difference between Director Data Analyst Machine Learning vs Data Scientist?
| Aspect | Director Data Analyst Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learning | Bachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills |
| Work Environment | Leads teams, manages projects, strategic planning | Hands-on data analysis, model development, experimentation |
| Employer & Industry Usage | Tech companies, finance, healthcare, retail | Research institutions, tech firms, consulting |
The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.
Contractor
Re-posted yesterday
Job description
Title: Senior Data Scientist - Supply Chain Management
Location: Deerfield, FL (Onsite 3 days per week)
Type: 12-Month Contract
Overview Seeking an experienced Senior Data Scientist with deep expertise in supply chain management and proven success in developing and deploying machine learning models into production environments. This role will directly impact demand forecasting, optimization, and logistics planning within the automotive industry.
Key Responsibilities
- Design, implement, and optimize machine learning models using the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics).
- Collaborate with architects to deploy ML models into production, ensuring scalability, performance, and seamless integration with existing systems.
- Apply advanced analytics to solve complex supply chain challenges, including demand forecasting and operational optimization.
- Communicate insights effectively through data visualization tools such as Power BI.
Required Skills & Experience
- 5+ years of experience as a Data Scientist, with a strong focus on supply chain management.
- Proficiency in Python and data manipulation libraries (Pandas, NumPy).
- Strong SQL skills and experience with Oracle Databases.
- Hands-on expertise with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).
- Familiarity with Azure cloud platforms, data warehousing solutions, and Microsoft Fabric.
- Experience with supply chain optimization tools and methodologies, ideally within the automotive industry.
Notes
-
- Recent experience in the past three years deploying AI at scale or driving measurable impact
- Recent exp with deployment of ML work in production
- Recent use case (RAG chatbot) with clear business value
- To be able to articulate framework for ensuring ROI, value capture, or scaling
- A structured methodology for building capabilities or prioritizing use cases