Senior Data Scientist
Charlotte, NC
Category: Data
Industry: Energy
Reference ID: JN -012026-105269
Date Posted: 03/29/2026
Shortcut: http://careers.eliassen.com/Pgp9hw
Description:
Hybrid 3 on in Charlotte, NC
Our client seeks a Data Science/AI Specialist to build and productionize machine learning solutions, data pipelines, and model deployment workflows. The role will emphasize Python development, SQL, feature engineering, model training, and evaluation with cloud tooling. The specialist will collaborate within agile teams to deliver secure, scalable AI capabilities and support optimization use cases in production.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $75.00 to $85.00/hr. w2
#LI-JS1
JN -012026-105269
Responsibilities:
- Design, build, and maintain data pipelines for ingestion and transformation using SQL and modern data tooling.
- Develop production-quality Python code with clean architecture, testing, and packaging for ML workflows.
- Train, evaluate, and tune machine learning models, including feature engineering and model validation.
- Apply optimization techniques within ML and analytics workflows to improve outcomes and performance.
- Implement CI/CD practices for data and ML services and collaborate on MLOps for model execution pipelines.
- Contribute to secure AI architectural patterns and adhere to best practices in cloud environments.
- Build and support integrations with data sources such as SQL Server, Oracle, and Hive.
- Collaborate within cross-functional agile teams to deliver models and data products to production.
- Leverage visualization and statistical analysis to communicate insights and model performance.
Experience Requirements:
- 3 to 4 years of professional experience in data science, machine learning, or related engineering roles.
- Strong SQL programming skills, including complex queries and performance considerations.
- Production-level Python experience with clean coding, testing, and packaging practices.
- Hands-on experience with TensorFlow, PyTorch, and scikit-learn for model development.
- Experience building data pipelines for ingestion and transformation.
- Knowledge of CI/CD pipelines and proficiency in at least one additional programming language.
- Understanding of secure AI architectural patterns and agile team practices.
- Experience with cloud technologies for ML workflows.
- Solid grasp of ML algorithms, optimization, feature engineering, and model evaluation methods.
- Experience with data wrangling, statistical analysis, and data visualization libraries.
- Basic knowledge of deploying ML models to production.
- Familiarity with AWS services for ML workflows such as S3, Lambda, EC2, and SageMaker (preferred).
- Prior experience in cross-functional product teams (preferred).
- Experience supporting data scientists to optimize data and model delivery (preferred).
- Experience with ETL tools such as SSIS, Sqoop, or Spark (preferred).
- Experience with Python and/or PySpark for data processing (preferred).
- Expert-level SQL including joins, CTEs, indexes, stored procedures, and tuning (preferred).
- Experience collaborating with MLOps to build pipelines for model execution (preferred).
- Experience with data ingestion from SQL Server, Oracle, Hive, and similar sources (preferred).
- Experience with architectural and security patterns (preferred).
- Knowledge of Docker and MLOps orchestration (preferred).
Education Requirements:
- Bachelor’s degree in Computer Science, Information Systems, or related discipline, or 8 years of equivalent work experience.
- AWS-related certifications (preferred).
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact fraud@eliassen.com.
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Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Eliassen Group’s Affirmative Action Plan (AAP) is available for inspection by any employee or applicant for employment upon request, during normal business hours of Monday through Friday, 8:30am to 5:30pm EST. Interested persons should contact Phaedra Wells at pwells@eliassen.com for assistance. It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Applicants with disabilities that believe they require an accommodation or assistance with a position, please email our HR team at hradmin@eliassen.com. This email inbox is designed exclusively to assist job seekers whose disability prevents them from being able to apply online. Emails sent for other purposes will not receive a response.
Please be advised that a number of fraudulent job postings have been released under the Eliassen Group brand.
Unfortunately, fraudulent job postings can happen. If anyone reaches out to you about an open position connected with Eliassen Group, never provide personal or financial information to anyone who is not clearly associated with Eliassen Group
If anyone seemingly from Eliassen Group has ever requested this personal information in the past or does so in the future, please contactInfoSec@eliassen.com.
Please ensure that you are working directly with us by confirming the following:
- When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
- Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group, as indicated above