Senior Data Scientist
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Role details
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Job description
We are seeking a Senior Data Scientist to support the development of advanced analytics, machine learning, and artificial intelligence solutions in a complex enterprise environment. This role will work across large and diverse datasets to develop predictive models, automate decision-making processes, and deliver actionable insights that support mission and business objectives., * Design, develop, and deploy machine learning and data science solutions to address complex business and operational challenges
- Build and maintain scalable data processing, feature engineering, and model deployment pipelines
- Develop software and analytical solutions using modern programming languages and frameworks
- Conduct exploratory data analysis and statistical modeling to identify trends, anomalies, and opportunities for optimization
- Evaluate, validate, and improve machine learning model performance using appropriate statistical techniques and methodologies
- Collaborate with software engineers, architects, and stakeholders to integrate machine learning capabilities into enterprise applications
- Support the deployment, monitoring, and lifecycle management of machine learning models in cloud environments
- Develop technical documentation, visualizations, and presentations to communicate findings and recommendations
- Contribute to software development best practices, code reviews, and continuous integration/continuous delivery processes
- Research emerging technologies and recommend innovative approaches to improve analytical capabilities
Requirements
The ideal candidate combines strong software engineering skills with practical experience in machine learning, statistical analysis, and cloud-based data environments. Success in this role requires the ability to rapidly learn new tools and technologies while collaborating with engineering, data, and product teams., * Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline
- Experience developing software solutions using Python, Java, Scala, or similar programming languages
- Strong understanding of object-oriented programming and/or functional programming principles
- Knowledge of machine learning algorithms and techniques
- Experience applying natural language processing (NLP) methodologies
- Strong understanding of statistical analysis and model evaluation techniques
- Experience developing, testing, and maintaining software using Git-based version control systems
- Experience working within CI/CD environments using Git and GitLab
- Experience utilizing Amazon Web Services (AWS) cloud technologies
- Strong problem-solving and analytical skills
- Ability to rapidly learn and adapt to new programming languages, frameworks, and technologies
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Strong communication and collaboration skills, * Hands-on experience with AWS services such as: o EMR o Bedrock o Lambda o EventBridge
- Familiarity with agentic AI architectures and frameworks
- Knowledge of Model Context Protocol (MCP)
- Experience designing and deploying generative AI solutions
- Familiarity with Spring Boot and modern Java application development
- Experience supporting production machine learning workloads in cloud environments
- Knowledge of MLOps concepts and model deployment best practices
Desired Technical Skills
- Python
- Java
- Scala
- Machine Learning
- Natural Language Processing (NLP)
- Statistical Modeling
- AWS
- Git
- GitLab CI/CD
- Data Engineering
- Model Evaluation
- Generative AI
- Agentic AI
- MCP
- Spring Boot
What Makes a Strong Candidate
- Strong combination of software engineering and data science expertise
- Ability to translate business problems into analytical solutions
- Comfortable working in fast-paced environments with evolving technical requirements
- Passion for continuous learning and emerging AI technologies
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