Note: The job is a remote job and is open to candidates in USA. ConsultNet Technology Services and Solutions is a premier national provider of technology talent and solutions. They are seeking a Senior Data Scientist to solve complex business problems through advanced analytics, machine learning, and generative AI, partnering closely with stakeholders to transform large datasets into actionable insights.
Responsibilities
- Design, develop, validate, and deploy machine learning and statistical models that solve real-world business challenges
- Build and implement Generative AI solutions using large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI workflows where appropriate
- Analyze large-scale structured and unstructured datasets to identify trends, patterns, and opportunities for business optimization
- Develop interactive dashboards and analytical applications using Plotly Dash to communicate insights and support executive decision-making
- Partner with business stakeholders to understand objectives, define success metrics, and translate business requirements into scalable analytical solutions
- Perform statistical analysis, hypothesis testing, experimentation, and model validation to ensure analytical accuracy and reliability
- Deploy machine learning models into cloud environments and collaborate with engineering teams to operationalize AI solutions
- Present findings and recommendations to technical teams, business leaders, and executive stakeholders in a clear, concise manner
- Mentor junior data scientists and contribute to best practices across data science, machine learning, and AI development
- Continuously evaluate emerging AI technologies and recommend innovative approaches that improve business outcomes
Skills
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline (Master's or PhD preferred)
- 6 years of professional experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics
- Expert-level Python programming skills for data analysis, machine learning, and automation
- Strong experience with Pandas, NumPy, and PySpark for processing and analyzing large datasets
- Advanced SQL skills with experience querying complex relational databases and data warehouses
- Strong foundation in statistics, probability, experimental design, regression, classification, clustering, and hypothesis testing
- Experience designing, training, evaluating, and deploying production machine learning models
- Hands-on experience building interactive dashboards using Plotly and Plotly Dash
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud for analytics and model deployment
- Excellent communication and presentation skills with the ability to explain complex technical concepts to non-technical stakeholders
- Proven ability to manage multiple projects while partnering effectively across business and technical teams
- Experience developing Generative AI applications using LLMs, prompt engineering, RAG, vector databases, AI agents, and orchestration frameworks such as LangChain or LlamaIndex
- Experience working with graph databases (Neo4j, Amazon Neptune, etc.) and graph analytics
- Knowledge of network analysis, graph algorithms, and knowledge graph architectures
- Experience with MLOps, model monitoring, CI/CD pipelines, and ML lifecycle management
- Experience with distributed computing frameworks and large-scale data platforms
- Experience in financial services, cybersecurity, healthcare, or other highly regulated industries
- Familiarity with containerization technologies such as Docker and Kubernetes
- Experience working in Agile development environments using Jira, Git, and modern software engineering practices
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