Data Scientist/Data Engineer - Junior (Remote) SynergisticIT
Houston, TX17 days agoRemote
- $82,000–$127,000 Per Year
- Full-time
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Skills
- Agile Programming Methodologiesunmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Artificial Intelligence (AI) Programming Languagesunmatched
- Best Practicesunmatched
- Business Strategyunmatched
- Computer Scienceunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Entrepreneurshipunmatched
- Establish Prioritiesunmatched
- Information Technology & Information Systemsunmatched
- Intellectual Property (IP)unmatched
- Leadershipunmatched
- Machine Learningunmatched
- Mentoringunmatched
- Microsoft Windows Azureunmatched
- Modeling Languagesunmatched
- Patentsunmatched
- Product Planningunmatched
- Product Strategyunmatched
- Production Systemsunmatched
- Prototypingunmatched
- Publicationsunmatched
- Python Programming/Scripting Languageunmatched
- Regulatory Complianceunmatched
- Requirements Managementunmatched
- Scalable System Developmentunmatched
- Software Agentsunmatched
- Statistical Modelingunmatched
- Sustainabilityunmatched
- Systems Engineeringunmatched
- Systems Scalabilityunmatched
- Thought Leadershipunmatched
Description
The Staff Data Scientist plays a pivotal role in embedding intelligent agents into the very fabric of our product strategy. We believe that agentic AI is a cornerstone of our future offerings, driving innovation across our three key portfolios: safety, sustainability, and performance. In this role, you will guide the development and integration of agent-based solutions, ensuring they become a natural and powerful element of how we deliver value to our customers.
What You Will Do:
Education and Experience
What You Will Do:
- Lead the vision, strategy, and execution of enterprise-scale data science and AI initiatives, with emphasis on agentic AI solutions that deliver measurable business value.
- Architect, develop, and deploy advanced AI/ML models and intelligent agent systems, ensuring scalability, interpretability, and alignment with organizational priorities.
- Drive cross-functional adoption of AI capabilities by influencing product roadmaps, setting technical standards, and ensuring consistent integration across portfolios.
- Partner with executive leadership to identify and prioritize high-impact AI opportunities that align with corporate goals in safety, sustainability, and performance.
- Serve as a principal technical authority and mentor for senior data scientists, fostering a culture of innovation, ethical AI use, and technical excellence.
- Translate complex AI concepts into actionable strategies for non-technical stakeholders, enabling informed decision-making at all levels.
- Lead design and implementation of enterprise-grade data architectures, pipelines, and platforms that enable rapid experimentation and deployment.
- Oversee the development and governance of AI/ML model lifecycle management, from prototyping through monitoring and continuous improvement.
- Collaborate with industry partners, academic institutions, and technology providers to bring cutting-edge AI techniques into production environments.
- Ensure all AI-driven solutions meet rigorous standards for data quality, fairness, transparency, and regulatory compliance.
- Direct the evaluation and integration of emerging AI tools, frameworks, and methodologies, including generative AI and large language models.
- Champion Agile and iterative delivery practices tailored for AI/ML development, ensuring rapid feedback and continuous learning.
- Generate intellectual property through novel AI approaches, patents, and publications that position the organization as a thought leader.
- Lead post-deployment analysis to measure the impact of AI initiatives and guide future investments. Develop and deploy scalable and interpretable data products per the business-defined requirements.
Education and Experience
- Required - At least 6 to 8 years of experience in data science, computer science, information systems, engineering, or other relevant fields, including a proven track record in applied AI and machine learning.
- Preferred - 1+ years of experience specifically in agentic AI or similar emerging agent frameworks
- Required - Bachelor's degree in data science, computer science, information systems, engineering, or a closely related field.
- Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering, or a closely related field.
- Demonstrated mastery in developing and deploying agentic AI solutions and a proven track record of integrating AI-driven agents into large-scale products.
- Expert-level proficiency in machine learning, statistical modeling, and AI frameworks, including but not limited to Python, PyTorch, and Azure AI services.
- Strong capability to lead and mentor senior data scientists and cross-functional teams in AI best practices and ethical AI deployment.
- Ability to translate complex AI and data science concepts into actionable business strategies and clear recommendations for non-technical stakeholders.
- Advanced experience with generative AI and large language models, and the ability to leverage these technologies to create scalable, interpretable, and business-aligned AI solutions.
- Strong proficiency in designing and overseeing complex data architectures and pipelines, ensuring robust data governance and quality.
- Proven ability to drive innovation and generate intellectual property through the application of novel AI techniques.
- Ability to stay at the forefront of the field by continuously learning and applying the latest advancements in AI and data science.
- Display an entrepreneurial mindset and the ability to devise practical, out-of-the-box solutions to complex business challenges.
- Establish organizational AI governance frameworks th
Numbers & Facts
| Location | Houston, Texas |
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