Position Overview

We are seeking a Senior Data Scientist to lead the development and deployment of advanced AI/ML models, working closely with our engineering and product teams to unlock the power of data for a wide range of business and industry needs. The role requires deep technical expertise, innovative thinking, and the ability to deliver complex, data-driven solutions that drive real-world business impact. The ideal candidate will possess advanced analytical skills, cross-industry experience, and the ability to work autonomously on high-impact projects that involve cutting-edge technology and methodologies.

Key Responsibilities

• Model Development & Optimization:

  • Design, build, and deploy state-of-the-art machine learning models for real-time insights, anomaly detection, predictive analytics, and decision support.

  • Identify trends, patterns, and anomalies in large, structured and unstructured datasets to uncover actionable insights.

  • Perform data mining, cleaning, aggregation, and feature engineering to prepare data for analysis and model implementation.

• Advanced Data Analysis & Strategy:

  • Interprets results from complex data sources using programming, statistical, and analytical techniques.

  • Develops and maintains databases to support AI/ML pipelines and data-driven solutions.

  • Collaborates with cross-functional teams to understand the purpose, objectives, and business impact of each data analysis project.

• Digital Twin Development:

  • Contribute to the creation of NexusAI’s Digital Twin Environment, integrating diverse data streams into accurate, actionable simulations for enhanced decision-making.

• Cross-Industry Expertise:

  • Adapt models and methodologies to address industry-specific challenges across supply chain logistics, healthcare, and beyond.

  • Leverage industry frameworks such as TMS, WMS, ERP systems for logistics, and FHIR/HL7 for healthcare data.

• Scalability & Performance:

  • Ensure that models are designed to scale efficiently across multiple clients, industries, and large datasets while maintaining high performance and accuracy.

• AI Auditability & Ethics:

  • Maintain transparency, interpretability, and ethical integrity in AI/ML solutions. Partner with advisors and ethical AI experts to mitigate bias and ensure auditability of models.

• Collaboration & Communication:

  • Work closely with product managers, engineers, and domain experts to define data pipelines, success metrics, and business use cases.

  • Act as a thought leader, driving the development of data-driven solutions that align with organizational goals.

• Innovation:

  • Stay at the forefront of emerging AI/ML trends, tools, and technologies. Identify opportunities to enhance the NexusAI platform through innovative techniques, tools, and frameworks.

• Leadership:

  • Provide technical leadership on advanced, complex projects, driving the team toward high-impact outcomes.

  • Mentor team members and contribute expertise to solve state-of-the-art technical challenges that span business and technology domains.

Qualifications