Data Scientist Subcontractor
At a glance
Mid-level Data Science role at Eeih. FL, United States · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.
Eeih has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Use Python to prepare, analyze and visualize data, then build models with Python-based libraries
- Apply classification, regression, clustering and forecasting methods, including ensemble models and named statistical approaches
- Deploy and maintain data science solutions across AWS, Azure or GCP environments
- Use deep learning and generative AI frameworks for image, text and sequence tasks, including CNNs and recurrent networks
- Explain findings to technical and non-technical partners and work with other teams to deliver solutions
What you bring
- A bachelor's degree in computer science, information technology or another related field
- Hands-on experience using machine learning and deep learning to address real-world problems
- Strong Python skills and experience with relevant libraries and frameworks
- Experience working with AWS, Azure or GCP
Who this fits
This role suits a data scientist who can build and apply models, work in cloud environments, and communicate results to both technical and non-technical audiences. You’ll collaborate with cross-functional teams and are expected to keep learning about developments in data science and AI.
From the employer
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.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.