Data Scientist jobs in United States
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eTeam · 17 hours ago

Data Scientist

eTeam is seeking an experienced Data Scientist to join their team, focusing on the development and deployment of Generative AI solutions in a commercial business setting. The role involves working with advanced technologies to develop and optimize models, manage vector databases, and implement NLP techniques to deliver actionable insights and solutions to business challenges.

Information Technology
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Model Development: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models, knowledge graph to facilitate effective information retrieval and generation directed to solve complex business problems and enhance decision-making process
Vector Database Management: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts
LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs)
NLP Techniques: Implement and experiment with cutting-edge NLP (Natural Language Processing) and other similar techniques to enhance the capabilities and performance of our AI products
Collaboration: Collaborate with cross-functional teams such as business and with platform and software engineers to identify opportunities for integrating Generative AI models into production systems, ensuring scalability, reliability, and performance
Build and deliver compelling data visualizations, websites, apps, and outputs to effectively communicate findings to technical collaborators, non-technical audiences, and business leaders
Communicate findings and recommendations to stakeholders through clear and concise reports and presentations
Stay up-to-date with the latest advancements in Generative AI and data science technologies by engaging with the broader data science community to remain updated about methodologies, software advancements, GenAI, and the development and availability of data

Qualification

NLPGenerative AIPythonVector databasesData visualizationSQLProblem-solvingCommunicationProject management

Required

Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
Proven experience in NLP and in developing and deploying Generative AI models in business settings, along with expertise in LLM prompt engineering and familiarity with LLM-based workflows and architectures
Proficient in handling natural language data and developing text/number-based products using a combination of traditional and cutting-edge NLP techniques (such as text mining, word embeddings, and transformer-based models)
Strong programming skills in Python, R, or similar languages
Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy
Solid understanding of statistical analysis and data visualization techniques, with experience in effective visualization tools such as Power BI and Tableau, along with a keen eye for detail in the visual communication of findings
Experience with Databricks, MLflow, Azure, endpoint deployment, LangChain, LlamaIndex, Hugging Face or similar services
Excellent problem-solving skills and the ability to work independently and collaboratively
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders

Preferred

Experience with natural language processing (NLP), computer vision, foundation model fine-tuning, and deep learning applications
Familiarity with cloud platforms such as Azure
Experience in project management and leading data science initiatives

Company

eTeam is a staffing agency that also provides payrolling services.

H1B Sponsorship

eTeam has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (36)
2024 (205)
2023 (11)
2022 (7)
2021 (24)
2020 (25)

Funding

Current Stage
Late Stage
Total Funding
unknown
2023-12-04Acquired

Leadership Team

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Swetta Bhatt
CEO APAC & India
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Aanchal Thakur
Chief Customer Officer
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Company data provided by crunchbase