Data Scientist

Base pay range

$80.00/hr - $85.00/hr

Duration: 3 months

Position

Description:

• Client is seeking a talented Data Scientist to join our Enterprise Advanced Data Analytics team and contribute to enterprise-level complex business solutions.
• As a Data Scientist, you will be at the forefront of developing cutting‑edge AI and machine learning enterprise‑grade solutions.
• We are looking for a skilled Data Scientist with 6+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models.
• The successful candidate will be responsible for designing, developing, and deploying robust machine learning algorithms to solve complex business problems from supply chain, factory operation, workforce, and logistics.
• You will work closely with stakeholders to understand business requirements and translate them into actionable solutions.

Skills Required:

Responsibilities:

• Own end‑to‑end solutions of design, develop, and deploy robust machine‑learning algorithms, including large language model.
• Collaborate with stakeholders to understand business requirements and translate them into actionable solutions.
• Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity.
• Produce visualizations and insights with the goal of communication to both technical and non‑technical audiences.
• Develop and train large language models using deep learning techniques, such as transformers and recurrent neural networks.

Skills Preferred:

• Experience working with large datasets and high‑performance computing environments.
• Strong understanding of data modeling, statistical inference, and machine learning techniques
• Excellent communication and presentation skills
• Experience with Docker and containerization
• Familiarity with Dev Ops practices and continuous integration/continuous deployment (CI/CD) pipelines
• Experience with cloud‑based data warehousing and big data processing (e.g., AWS Glue, Apache Spark)

Experience

Required:

Required Education, Experience, & Skills

• 6+ years of professional experience as a Data Scientist, with a focus on generative AI and machine learning.
• Strong understanding of large language models (LLMs) and their applications in AI.
• Experience with Agent + RAG system and its application in data science and AI.
• Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit‑learn, Tensor Flow, and PyTorch.
• Experience with data visualization tools such as Tableau, Power BI, and others.
• Familiarity with cloud‑based services and solutions such as AWS, Clienture, and Dataiku.

Education Required:

Education Preferred:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field

Additional Information:

• We are looking to have a candidate that can ingest COTs systems documentation (user guides, development manuals, DB ERDs, training material, etc.) and create an application data mapping to a business normalization standard called OAGI that will provide standardized data taxonomy and dictionaries for our Enterprise data mapping solutions.
• It will enable the following features.
• Standardization:
  The OAGIS standard provides a consistent model for these messages, ensuring that data can be reliably shared between different applications.
• Interoperability: BODs enable different systems to work together by establishing a common "business language" for the exchange of information.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on‑demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name:
Chitransh Ahuja

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Information Technology