Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist Subcontractor
FL, United States
Live, first seen by us 55 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe are seeking a highly skilled and motivated Data Scientist to join our dynamic team.
Develop and implement machine learning models in Python
Deploy and manage data science solutions in cloud environments
Build statistical forecasting models such as ARIMA and Holt-Winters
Implement CNNs for image recognition and LSTM/GRU models for sequences
Communicate findings and insights to technical and non-technical stakeholders
From the employer’s posting
We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate is proficient in Python, has extensive experience with cloud platforms (AWS, Azure, GCP), and possesses a strong background in both theoretical and practical aspects of machine learning techniques.
Develop and implement machine learning models using Python-based libraries and frameworks.
Deploy and manage data science solutions in cloud environments.
Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters.
Implement Convolutional Neural Networks (CNN) for image recognition tasks.
Effectively communicate findings and insights to both technical and non-technical stakeholders.
What you’ll bring
All qualificationsCore experience
- Proven experience applying machine learning and deep learning to real problems
- Strong Python programming skills and relevant libraries and frameworks
- Experience working with AWS, Azure, or GCP
- Bachelor's degree in Computer Science, IT, or a related field
- Excellent communication and teamwork skills
Qualification wording
Proven experience in applying machine learning and deep learning techniques to real-world problems.
Strong programming skills in Python and experience with relevant libraries and frameworks.
Experience working with cloud platforms (AWS, Azure, GCP).
Bachelor's degree in Computer Science, Information Technology, or a related field
Excellent communication and teamwork skills.
Education & alternatives
Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field (Computer Science, Statistics, Data Science, etc.). - Proven experience in applying machine learning and deep learning techniques to real-world problems.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 10, 202655 days ago
- Recorded sightings
- 229
- Last seen by us
- Nov 3, 2026
- Employer says posted
- Feb 23, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 55
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Hackett Group is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- GCP
- Hugging Face
- PyTorch
- TensorFlow
- XGBoost
Where the posting names them
Position Summary: We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate is proficient in Python, has extensive experience with cloud platforms (AWS, Azure, GCP), and possesses a strong background in both theoretical and practical aspects of machine learning techniques. Key Responsibilities:
Key Responsibilities: - Python Proficiency: - Utilize Python for data analysis, manipulation, and visualization.
- Python Proficiency: - Utilize Python for data analysis, manipulation, and visualization. - Develop and implement machine learning models using Python-based libraries and frameworks.
- Utilize Python for data analysis, manipulation, and visualization. - Develop and implement machine learning models using Python-based libraries and frameworks. - Cloud Platform Knowledge:
- Proven experience in applying machine learning and deep learning techniques to real-world problems. - Strong programming skills in Python and experience with relevant libraries and frameworks. - Experience working with cloud platforms (AWS, Azure, GCP).
- Cloud Platform Knowledge: - Work with data on various cloud platforms such as AWS, Azure, and GCP. - Deploy and manage data science solutions in cloud environments.
- Strong programming skills in Python and experience with relevant libraries and frameworks. - Experience working with cloud platforms (AWS, Azure, GCP). - Excellent communication and teamwork skills.
- Generative AI Frameworks: - Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc. - Apply generative models for various applications, including text and image generation.
- Deep Learning Frameworks: - Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch. - Apply knowledge in image, text, and sequence processing models.
- Machine Learning Techniques: - Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks. - Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters.
Your next step
Complete your application on eeih.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
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- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Data Scientist
Position Summary:
We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate is proficient in Python, has extensive experience with cloud platforms (AWS, Azure, GCP), and possesses a strong background in both theoretical and practical aspects of machine learning techniques.
Key Responsibilities:
- Python Proficiency:
- Utilize Python for data analysis, manipulation, and visualization.
- Develop and implement machine learning models using Python-based libraries and frameworks.
- Cloud Platform Knowledge:
- Work with data on various cloud platforms such as AWS, Azure, and GCP.
- Deploy and manage data science solutions in cloud environments.
- Machine Learning Techniques:
- Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks.
- Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters.
- Clustering:
- Utilize clustering algorithms to uncover patterns and insights from data.
- Deep Learning Frameworks:
- Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch.
- Apply knowledge in image, text, and sequence processing models.
- Neural Networks:
- Implement Convolutional Neural Networks (CNN) for image recognition tasks.
- Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis.
- Generative AI Frameworks:
- Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc.
- Apply generative models for various applications, including text and image generation.
- Communication and Teamwork:
- Effectively communicate findings and insights to both technical and non-technical stakeholders.
- Collaborate with cross-functional teams to deliver impactful data science solutions.
- Continuous Learning:
- Demonstrate a proactive attitude towards learning and staying updated with the latest advancements in data science and AI.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (Computer Science, Statistics, Data Science, etc.).
- Proven experience in applying machine learning and deep learning techniques to real-world problems.
- Strong programming skills in Python and experience with relevant libraries and frameworks.
- Experience working with cloud platforms (AWS, Azure, GCP).
- Excellent communication and teamwork skills.
- A passion for continuous learning and staying current with industry trends.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
FL, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.