Trident Consulting

Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Carmel, IN, on a W2 contract for 8 months at $80/hr. Key skills include Python, Machine Learning, and cloud platforms (AWS/GCP/Azure). Experience with large language models and NLP is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
June 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Hugging Face #NLP (Natural Language Processing) #PyTorch #Spark (Apache Spark) #BERT #Libraries #Security #Data Science #Cybersecurity #Consulting #Code Reviews #Azure #ML (Machine Learning) #NoSQL #GCP (Google Cloud Platform) #ML Ops (Machine Learning Operations) #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Elasticsearch #Clustering #Deep Learning #Distributed Computing #Azure cloud #Classification #Databases #API (Application Programming Interface) #AWS (Amazon Web Services) #SpaCy #Transformers #OpenSearch #Cloud #Datasets #Langchain #Python #Keras #Scala #TensorFlow #Deployment
Role description
Trident Consulting is seeking a "Senior Data Scientist" for one of our clients. A global leader in business and technology services. Role : Senior Data Scientist Location : Carmel, IN (Onsite) Pay Rate : $80/hr W2 Type: Contract(W2) Job Summary: The Senior Data Scientist will coordinate complex cloud and artificial intelligence initiatives that leverage large language models and advanced machine learning within a hybrid work model. The role will orchestrate projects across AWS, GCP, or Azure environments, ensuring reliable Python based solutions that apply frameworks such as Keras, spaCy, and PyTorch to deliver measurable value for clients and communities. Required Skills: Python, PyTorch, Machine Learning, Prompt Engineering, Large Language Models, AWS / GCP / Azure Cloud Responsibilities: Develop and implement LLM based applications tailored for in house legal needs, ensuring they align with clients commitment to excellence and innovation Evaluate and maintain our data assets and training evaluation datasets, ensuring they meet the highest standards of integrity and quality. Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer centric mindset. Collaborate with legal experts to understand requirements and ensure models meet domain specific needs, working as one team. Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables. Evaluate AI ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives. Interface with other technical personnel or team members to finalize requirements, demonstrating ownership of outcomes. Work closely with other development team members to understand complex product requirements and translate them into software designs, ensuring ethical choices in all actions. Successfully implement development processes, coding best practices, and code reviews for production environments, embodying Cognizant s values in every task. Strong hands on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT. Practical experience with large language models, prompt engineering, fine tuning, and benchmarking using frameworks such as LangChain and LlamaIndex. Strong Python background. Knowledge of AWS, GCP, Azure, or other cloud platforms. Understanding of data modelling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores e.g Postgres, Elasticsearch OpenSearch, ChromaDB. Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred. Knowledge of API development, containerization, and machine learning deployment is highly preferred. Experience with ML Ops AI Ops is highly preferred. nal environments where programs span different regions, cultures, and regulatory contexts within a day shift structure Years of Experience: 8.00 Years of Experience About Trident Consulting Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we’ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services. We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.