Data Scientist

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Location

Remote from US

Type

Contract

Duration

6 months

Start Date

ASAP

Skills

Data Scientist, Machine Learning, Python, PySpark, ML Libraries, Azure

Reference #

Job-11716

Job Description

We’re seeking a Data Scientist for a REMOTE consulting position for our growing, global client

** Start date: August 2025
** Duration: W2 contract, 6 months
** Location: Remote from the United States, supporting the Pacific Time zone
** Compensation: The hourly rate for a qualified candidate is expected to start around $45/ hr W2 plus benefits, DOE depending on experience.
The offered compensation to a successful candidate will be dependent on several factors that may include (but are not limited to) the type and length of experience within the industry, education, etc.

Job Description:
– 4+ years of experience as a Data Scientist
– Proficient in development with Python and PySpark
– Experience with Azure Machine Learning
– Experience in developing ETL processes
– Experience in developing analytics
– Knowledge of ML libraries: TensorFlow, PyTorch, Scikit-Learn, etc.
– Strong foundations in ML models and metrics to evaluate effectiveness
– Solid experience in software development applying ML algorithms
– Experience in ML operations with emphasis on MLOps
– Experience conducting exploratory data analysis and identifying insights, as well as proposing possible root causes
– Experience validating results
– Experience presenting findings to business stakeholders
– Skills in management, communication, leadership, teamwork, problem-solving, critical thinking, and strong negotiation abilities

Responsibilities:
– Analyze datasets to discover trends and insights that drive business decisions
– Develop predictive and generative models using statistical, machine learning, and LLM techniques
-Evaluate, refine, and optimize LLM models for domain-specific applications, integrating them into analytical solutions
– Iteratively develop LLM-based solutions, including building knowledge bases, datasets, and performance evaluation methodologies
– Present findings and recommendations to stakeholders
– Ensure all deliverables meet governance standards and best practices in Advanced Analytics

**Please apply today!** #LI-LS1 #LI-DNI #LI-Remote

For more information, please email: Job-11716@thecarreraagency.com

Data Scientist

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