Artificial Data Scientist

ob Title: Artificial Data Scientist

Location: Fully Remote

Salary: DOE + full benefits

Clearance: Active Public Trust (or ability to obtain)

Company Overview

TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers improving quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs.

Job Description

We are looking for a highly skilled AI Data Scientist with a focus on Data-Centric AI to join our innovative team. In this role, you will play a critical part in building, refining, and deploying AI models by optimizing the quality of data rather than the complexity of algorithms. Your work will enable the development of intelligent systems that extract actionable insights from large datasets, enhance data-driven decision-making, and push the boundaries of what's possible with data-driven AI applications.

Job Responsibilities

• Develop and apply Data-Centric AI methodologies to ensure data quality and accuracy in AI model development.
• Work closely with data engineers and analysts to clean, preprocess, and curate datasets for AI applications.
• Design AI models that leverage high-quality, well-labeled data for training and improve the performance of existing systems through enhanced data curation.
• Identify data gaps, inconsistencies, and opportunities for optimization that can lead to better model predictions.
• Collaborate with cross-functional teams to integrate AI-driven data solutions into business processes, analytics platforms, and customer-facing applications.
• Continuously evaluate model performance based on data quality and provide insights for refining data pipelines.
• Stay current with the latest advancements in Data-Centric AI, including data labeling strategies, dataset augmentation, and synthetic data generation.
• Lead efforts in automating data preparation workflows and improving the efficiency of model training and evaluation pipelines.
• Contribute research in data-centric approaches to AI model improvement, and present findings to both technical and non-technical stakeholders.
• Develop documentation, standards, and best practices for data-centric AI model development and deployment.

Required Skills/Qualifications

• 3+ years of experience in AI/ML development, with a strong focus on data science and data-centric AI methods.
• Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
• Deep understanding of data preprocessing, feature engineering, and data augmentation techniques.
• Experience in working with large, complex datasets, and building AI models driven by data quality improvements.
• Familiarity with cloud platforms (e.g., AWS, GCP) and database management systems (e.g., SQL, NoSQL, MongoDB).
• Proficiency in data analysis tools such as Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
• Knowledge of labeling tools and techniques, as well as the ability to guide data annotation efforts.
• Strong problem-solving skills and the ability to collaborate in a fast-paced environment.
• Excellent written and verbal communication skills, with a focus on translating technical insights into business value.

Preferred Experience

• Experience in developing and deploying AI models with a strong emphasis on data integrity and quality.
• Prior experience with synthetic data generation, data labeling platforms, and automating data workflows.
• Knowledge of data governance, security, and privacy standards as they apply to AI models.
• Understanding of explainable AI (XAI) and the role data plays in model transparency and accountability.
• Passion for driving innovation in data-centric AI and enthusiasm for data-first AI development methodologies.

Education

• Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related field
• Years of experience can be considered in lieu of degree