INSPYR Solutions

Sr Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist in Windsor Mill, MD, on a contract basis. Pay rate is unspecified. Key skills include AI/ML, NLP, Python, SQL, and AWS. Requires a Bachelor's degree, 10+ years IT experience, and strong analytical abilities.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
672
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πŸ—“οΈ - Date
May 29, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Windsor Mill, MD
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🧠 - Skills detailed
#Libraries #Scala #SpaCy #Mathematics #Programming #AWS (Amazon Web Services) #Deployment #TensorFlow #DevOps #Data Quality #SQL (Structured Query Language) #Cloud #NumPy #Airflow #Automation #NLTK (Natural Language Toolkit) #Computer Science #PyTorch #Statistics #HTML (Hypertext Markup Language) #Spark (Apache Spark) #Datasets #Python #Databases #Oracle #Impala #NLP (Natural Language Processing) #PostgreSQL #Data Science #Data Engineering #ML (Machine Learning) #Version Control #SQL Server #MySQL #AI (Artificial Intelligence) #Anomaly Detection #Hadoop #GIT #Apache Spark #Pandas
Role description
Senior Data Scientist Location: Windsor Mill, MD Work Schedule: 100% Onsite Position Type: Contract Position Overview We are seeking a highly skilled Senior Data Scientist with deep expertise in AI/ML, Natural Language Processing (NLP), and Large Language Models (LLMs). This role will focus on developing scalable machine learning solutions, building NLP pipelines, analyzing complex datasets, and deploying cloud-native AI applications in a fast-paced environment. The ideal candidate will have strong Python programming skills, hands-on experience with modern NLP frameworks, and a proven ability to develop and operationalize machine learning models and generative AI solutions. Key Responsibilities β€’ Develop, test, and deploy NLP and Generative AI solutions using Large Language Models (LLMs) β€’ Build scalable Python-based ML and NLP pipelines β€’ Analyze transactional and trend-based datasets using SQL and data science methodologies β€’ Design cloud-native AI/ML solutions within AWS environments β€’ Train, optimize, and evaluate supervised and unsupervised machine learning models β€’ Collaborate with analysts and stakeholders to identify business challenges and recommend data-driven solutions β€’ Provide advanced analytical support and deliver actionable insights from large datasets β€’ Support scalable deployment and operationalization of ML, MLOps, and LLMOps solutions β€’ Work with cross-functional teams to improve data quality, automation, and analytics capabilities Required Qualifications β€’ Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, Information Science, or related field β€’ 10+ years of overall IT industry experience β€’ Strong hands-on experience with: β€’ Python β€’ SQL β€’ Pandas β€’ NLTK β€’ spaCy β€’ NLP frameworks β€’ Generative AI and Large Language Models (LLMs) β€’ Experience building cloud-native solutions on AWS β€’ Strong understanding of machine learning frameworks and libraries including TensorFlow, PyTorch, scikit-learn, and NumPy β€’ Experience with version control tools such as Git β€’ Experience with data engineering and orchestration frameworks such as Apache Spark and Airflow β€’ Experience deploying and maintaining ML models using DevOps, MLOps, or LLMOps methodologies β€’ Ability to clean, process, and analyze large real-world datasets β€’ Experience working with databases such as Oracle, SQL Server, PostgreSQL, MySQL, SQLite, Hadoop, and flat files β€’ Strong analytical, problem-solving, and communication skills β€’ Ability to work independently in a fast-paced environment Preferred Qualifications β€’ Master’s degree in a related field β€’ Experience supporting federal or state government IT projects β€’ Experience with semantic search technologies β€’ Familiarity with Hadoop ecosystem tools such as Spark, Hive, and Impala β€’ Experience in analytical research environments β€’ Experience with GPU programming using CUDA β€’ Experience with Mathematica β€’ Familiarity with markup languages such as LaTeX and HTML β€’ Experience using NLP techniques for anomaly detection Ideal Candidate The ideal candidate is a self-starter who can operate independently while collaborating effectively across teams. This person should be passionate about AI/ML innovation, comfortable working with large-scale datasets, and capable of delivering scalable, production-ready solutions. #IND-Telecom About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.