InstantServe LLC

Senior Data Scientist - Local Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Woodlawn, MD, requiring local candidates only. Contract length and pay rate are DOE. Key skills include Python, NLP, SQL, and experience with Generative AI. A Master’s degree or equivalent experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
August 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Woodlawn, MD
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🧠 - Skills detailed
#Pandas #Airflow #NLP (Natural Language Processing) #Data Engineering #Datasets #Python #SpaCy #AWS (Amazon Web Services) #PyTorch #Data Processing #Data Analysis #NLTK (Natural Language Toolkit) #GIT #SQL (Structured Query Language) #Spark (Apache Spark) #ML (Machine Learning) #Cloud #AI (Artificial Intelligence) #TensorFlow #Scala #Data Science
Role description
Senior Data Scientist Location: Woodlawn, MD - Only Local Candidate- No relocation Allowed On-site: 5 days/week Local candidates only Rate: DOE Clearance: Must be able to obtain and maintain Public Trust Required Qualifications: • Master’s + 10 years, Bachelor’s + 12 years, or 18 years of experience in lieu of degree. • Strong experience with Python, NLP, SQL, Pandas, NLTK, and spaCy. • Hands-on experience with Generative AI and LLMs. • Experience building, training, optimizing, and deploying ML/NLP models and pipelines. • Strong knowledge of AWS, PyTorch/TensorFlow, scikit-learn, Git, and data engineering tools such as Spark/Airflow. • Experience with large-scale data analysis, statistical modeling, and real-world data processing. • Strong analytical, problem-solving, and communication skills. • Federal/state government IT experience preferred. Key Responsibilities: • Develop and deploy scalable NLP, ML, and Generative AI/LLM solutions. • Build Python-based data and ML pipelines. • Analyze large datasets and identify trends and insights. • Train and optimize NLP/LLM models. • Collaborate with data analysts and stakeholders to solve complex data challenges. • Support MLOps/LLMOps and cloud-native solutions.