

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with over 6 months contract, remote work in EST hours. Key skills include Python, machine learning, generative AI, and pipeline development. Experience with tools like TensorFlow, PyTorch, and Azure Data Factory is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
720
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ποΈ - Date discovered
August 5, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Baltimore, MD
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π§ - Skills detailed
#TensorFlow #Pandas #Deployment #ADF (Azure Data Factory) #Data Science #Regression #Databricks #Azure Data Factory #Monitoring #Libraries #Clustering #Data Exploration #NumPy #ML (Machine Learning) #Visualization #Azure #Classification #PyTorch #Data Manipulation #Data Analysis #Python #AI (Artificial Intelligence) #Hugging Face #Compliance #Matplotlib
Role description
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Responsibilities
Kforce has a client in Baltimore, MD that is looking to add an experienced Data Scientist for a long-term project. This would be a remote position; however, the candidate must be able to work standard EST working times. If you are in the market to work with a fast paced, accomplished team, we invite you to submit your resume today.
Requirements
β’ Python Proficiency: Strong hands-on experience in Python for data manipulation, analysis, and model development using libraries like Pandas, NumPy, and Scikit-learn
β’ Machine Learning Expertise: Advanced knowledge of traditional ML techniques (e.g., regression, classification, clustering) and frameworks like TensorFlow or PyTorch
β’ Generative AI: Experience in developing and fine-tuning generative AI models (e.g., GPT, LLMs) using frameworks like OpenAI or Hugging Face
β’ Prompt Engineering: Proven ability to design and optimize prompts for generative AI models to enhance AI agent performance
β’ Model Development and Evaluation: Expertise in building, testing, and optimizing models with robust evaluation techniques (e.g., F1-score, AUC-ROC, BLEU scores) and hyperparameter tuning
β’ AI Agent Development: Hands-on experience in creating AI agents integrating machine learning, reasoning, and heuristics for prioritization and decision-making
β’ Data Exploration: Strong skills in exploratory data analysis (EDA) and feature engineering using visualization libraries like Matplotlib and Seaborn
β’ Performance Monitoring: Experience in setting up pipelines to monitor model performance and ensure accuracy, efficiency, and ethical compliance
β’ Pipeline Development: Proven ability to design, build, and automate end-to-end pipelines for data preparation, model training, evaluation, and deployment using tools like Databricks, Azure Data Factory, or similar orchestration frameworks
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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