Note: The job is a remote job and is open to candidates in USA. Perficient is seeking a highly analytical and results-driven Lead Data Scientist to develop and deploy predictive and machine learning models that drive business outcomes and improve organizational decision-making. The role is responsible for analyzing complex datasets, designing scalable data pipelines and model workflows, partnering with stakeholders, and operationalizing machine learning solutions in cloud-based environments.
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
- • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
- • 10 years of experience in Data Science, including advanced analytics and machine learning expertise
- • 3+ years of experience developing and deploying predictive models using statistical and machine learning techniques
- • Strong experience applying machine learning methodologies to solve business problems and improve organizational outcomes
- • Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large, complex datasets
- • Hands-on experience with AWS cloud services for data storage, processing, and analytics
- • Strong analytical and problem-solving skills with the ability to work independently and collaboratively
- • Excellent verbal and written communication skills and the ability to effectively translate business requirements into data-driven solutions
- • Proven experience partnering with cross-functional stakeholders and delivering actionable insights
- • Machine Learning & Predictive Modeling
- • Statistical Analysis
- • SQL
- • AWS Cloud Services
- • Data Transformation & Data Modeling
- • Data Analytics & Visualization
- • Model Deployment & Monitoring
- • Experience with Amazon SageMaker for model development, training, and deployment
- • Experience using dbt for data transformation, modeling, and analytics engineering
- • Experience working in healthcare, health insurance, or other highly regulated industries
- • Knowledge of MLOps practices, model monitoring, and cloud-based deployment frameworks
- • Amazon SageMaker (Preferred)
- • dbt (Preferred)
Company Overview
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