Senior Data Scientist

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

• 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.

• 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).

• Bachelor’s degree in Computer Science, Information Systems, or related discipline, or 8 years of equivalent work experience.
• AWS-related certifications (preferred).

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( [email protected] , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

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.

· 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 [email protected] .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!