Data Scientist 192840

NO 1099 OR CORP TO CORP FOR THIS CONTRACT POSITION.

NO RELOCATION ASSISTANCE OFFERED.

Client Title: Data Scientist

Shift: 8 AM until 5 PM – Monday-Friday

Term of Contract: Long-term/ongoing with no end date

Pay Range OR Rate: USD 50.72-USD 69.74 DOE

PTO, Sick Pay, and Holiday Pay are offered.

THIS IS NOT A REMOTE POSITION

Looking for a local candidate or someone who is willing to relocate.

This position requires a minimum of 40% onsite attendance: 2 days each week.

OVERVIEW OF POSITION:

Working with large data sets and prepping the data for consumption

Assessing the effectiveness and accuracy of data sources

Working with business users to obtain more insight into data sources.

Asking the right questions to understand how the data can be used.

Evaluating the results of machine learning algorithms

Determining the feasibility of a use case given the business problem and the available data.

Monitoring and analyzing model performance

Performing prompt engineering tasks with specific use cases

Required Skills:

Working with large data sets

Python to manipulate data

Machine learning: (clustering, decision tree learning, artificial neural networks, etc.)

Experience using deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Kera’s, etc.)

Experience in natural language processing

Experience using database technologies including SQL, Oracle, SQL Server, or NoSQL databases.

Experience using cloud technology and services specifically in AWS including Athena, Glue, Sagemaker, and QuickSight

Experience with at least one common OpenSource high-level LLM-framework (e.g. LangChain, Llama-Index), evaluation techniques and agentic principles

Familiarity with modern software development, Devops strategies and tooling (GitOps)

Experience using machine learning models in the automotive industry would be nice to have.

Travel: Possibly 5 percent Internationally or Domestically

Position Purpose/Scope:

Accelerates and supports the ongoing activities in the field of Artificial Intelligence and Computer vision for multiple use cases for quality improvement in manufacturing. Deals with large volumes of data and understands and explores data critical to the business. Drives data for future company processes and products. Works with different company business units to understand the business demands with respect to Artificial Intelligence and Quality Assessment. Conducts advanced analytical tasks, designs deep learning models, data mining, and computer vision to enable company to improve its products, services, and processes.

Position Responsibilities:

Analyzes business-critical data and recommends improvements.

Works with large data sets consisting of predominantly images and conducts advanced analytics tasks. Assess the effectiveness and accuracy of new data sources and data-gathering techniques.

Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Develops custom data models and algorithms to apply to data sets.

Coordinates with different functional teams to implement models and monitor outcomes.

Develops processes and tools to monitor and analyze model performance and data accuracy.

Serves as an internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development.

Advises developers and engineers on the latest data analytics technologies and assists the team in process matters related to development/support and provides the necessary on-the-job training and development of associates/contractors within the team.

Maintains accurate, meaningful, and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility.

Performs other duties as assigned by the Operations Supervisor

Position Competencies:

Education:

Bachelor’s degree in computer science, mathematics/statistics, or a related field, required.

Master’s preferred

Experience:

3 years post-university experience in advanced analytics in the field of data science, applying scientific data analytics methods preferably to automotive industry datasets.

1 years proven experience completing projects with a set of various data sources

3 years of knowledge in using statistical computer languages (Python, SLQL, etc) to manipulate data and draw insights from large data sets

1 years of knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)

3 years of knowledge of in one or more of the following programming languages: Python, Java, C

3 years of knowledge and experience in Computer Science and in database technologies including SQL, Oracle, SQLServer, SAP HANA and NoSQL databases

3 years of experience in statistical languages and tools in particular R

3 years of experience in problem solving skills with an emphasis on product development

#ENGTEC

#LI-SJ1

#CB

HKA Enterprises is a global workforce solutions firm. If you're seeking a new career opportunity or project experience, our recruiters will work to understand your qualifications, experience, and personal goals. At HKA, we recognize the importance of matching employee goals with those of the employer. We strive to seek credibility, satisfaction, and endorsement from all of our applicants. We invite you to take time and search for your next career experience with us! HKA is an EEO Employer who participates in the US Citizenship and Immigration Services E-Verify Program.