📍 Remote / Hybrid – Global Technology Organization
Industry: Artificial Intelligence, Advanced Analytics & Enterprise Platforms
💵 Compensation Package: $175,000 – $255,000
About the Role
We are building intelligent, data-driven systems at enterprise scale where advanced analytics, machine learning, and AI are embedded into the core of decision-making, product innovation, and operational excellence. Our data ecosystem encompasses large-scale, structured, and unstructured datasets, real-time pipelines, and AI-powered platforms that directly impact how businesses operate, grow, and compete.
The Data Scientist – AI/ML Expert plays a critical role at the intersection of data science, engineering, and business strategy. This position is designed for an experienced practitioner who can design, develop, and deploy advanced machine learning models while collaborating with cross-functional teams to translate complex data into meaningful outcomes.
This is not a support role; this is a hands-on, high-impact position where AI solutions are expected to scale, perform in production, and drive measurable business value across products, platforms, and internal systems.
Essential Duties and Responsibilities
- Design, develop, and deploy machine learning and AI models for real-world enterprise applications.
- Analyze large-scale datasets to uncover patterns, trends, and actionable insights.
- Build and optimize predictive, classification, and recommendation models using modern ML techniques.
- Collaborate with engineering teams to productionize models and integrate them into scalable systems.
- Conduct feature engineering, model tuning, validation, and performance monitoring.
- Apply advanced statistical and machine learning methods to solve complex business problems.
- Develop experimentation frameworks and evaluate model performance using appropriate metrics.
- Document methodologies, assumptions, and findings for technical and non-technical stakeholders.
- Stay current with emerging AI/ML technologies, frameworks, and industry best practices.
Job Qualifications and Requirements
- 5+ years of professional experience in data science, machine learning, or applied AI roles.
- Strong expertise in machine learning algorithms, statistical modeling, and predictive analytics.
- Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with large datasets, cloud platforms, and distributed computing environments.
- Strong understanding of data pipelines, model deployment, and ML lifecycle management.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, or related field; advanced degree preferred.
- Ability to communicate complex technical concepts clearly to diverse audiences.
Personal Capabilities and Qualifications
- Analytical mindset with a strong problem-solving orientation.
- Curiosity-driven and passionate about applying AI to real-world challenges.
- Highly collaborative with the ability to work across technical and business teams.
- Comfortable operating in fast-paced, evolving environments.
- Strong ownership mentality able to take ideas from concept to production.
- Ethical awareness and commitment to responsible AI practices.
Strategic Support
- Partner with Product, Engineering, and Strategy teams to shape AI-driven initiatives.
- Support data-informed decision-making at the organizational level.
- Contribute to long-term AI and analytics roadmaps.
- Influence architecture and tooling decisions related to machine learning platforms.
- Act as a technical thought leader within the data science community.
Working Conditions
- Remote or hybrid work environment with global collaboration.
- Flexible working hours aligned with distributed teams.
- High-impact role with visibility across multiple business units.
- Requires occasional participation in planning sessions, reviews, and innovation forums.
Job Function
- Advanced data science and machine learning development.
- Research, deployment, and optimization of AI models.
- Cross-functional collaboration to drive enterprise AI adoption.
- Continuous improvement of analytics and AI capabilities.
Compensation & Benefits
- Base Salary: $175,000 – $255,000
- Performance-based annual bonus
- Comprehensive health, dental, and vision coverage
- Retirement and long-term savings plans
- Generous paid time off and flexible work arrangements
- Learning budget for AI/ML training, certifications, and conferences
- Access to modern data platforms and cloud-based AI tools
Why Join Us
- Work on high-impact AI systems that operate at enterprise scale.
- Influence how advanced analytics and machine learning shape real business outcomes.
- Collaborate with experienced technologists, researchers, and product leaders.
- Continuous investment in innovation, learning, and career growth.
- Clear pathways toward Senior Data Scientist, Principal AI Scientist, or AI Architecture leadership roles.
