Lead Data Scientist – ML & Data Strategy

Perficient Digital; United States; On-site; USD 73,000 - 171,000; Full time

Job summary

Perficient is seeking a Data Scientist/Lead Technical Consultant to join our team in Saint Louis or remote US areas. You will develop and deploy predictive models, work with solution architects, and translate designs into technical requirements.

The role focuses on collaboration with stakeholders, cloud-based data pipelines, and communicating insights to business leaders. A strong background in ML, SQL, and AWS is required, with experience in accelerated environments a plus.

Qualifications

• 3+ years of experience developing and deploying predictive models using ML techniques.

Responsibilities

• Develop, validate, deploy, and monitor predictive and machine learning models to solve business challenges and support strategic decision-making.
• Analyze large and complex datasets to identify trends, patterns, and opportunities for optimization.
• Partner with business stakeholders, product owners, and cross-functional teams to understand requirements and deliver data-driven solutions.
• Design and maintain scalable data pipelines and model workflows within cloud-based environments.
• Perform data extraction, transformation, and analysis using advanced SQL techniques.
• Collaborate with engineering and analytics teams to operationalize machine learning solutions and ensure production readiness.
• Communicate analytical findings, model performance, and recommendations to both technical and non-technical audiences.
• Contribute to best practices for data science, modeling, governance, and experimentation.

Skills

Machine learning

SQL

AWS

Data pipelines

Data analysis

Communication

Education

Bachelor's degree in data science

Tools

AWS

dbt

SageMaker

Job description

Perficient is seeking a Data Scientist/Lead Technical Consultant to join our team in Saint Louis or remote US areas. You will develop and deploy predictive models, work with solution architects, and translate designs into technical requirements.

The role focuses on collaboration with stakeholders, cloud-based data pipelines, and communicating insights to business leaders. A strong background in ML, SQL, and AWS is required, with experience in accelerated environments a plus.