Director of Data Science

Director of Data Science

When seconds matter, GeoComm is dedicated to saving lives and protecting property through precise location data. Since our founding in 1995, we’ve grown to serve communities nationwide, ensuring the safety of over 100 million people. Our innovative solutions like GIS Data Management and Indoor Maps set industry standards across public safety, school safety, and beyond.

That may sound catchy, but that is what we do working with leading-edge technologies and systems. Our team is looking for a top-quality Director of Data Science to join our team.

Job Summary

The Director of Data Science is a strategic and hands-on leadership role responsible for building and scaling GeoComm’s data science capabilities. This leader will drive the development of GIS related AI/ML models, predictive analytics, and data-driven decision-making to enhance the company’s product offerings, operational efficiencies, and customer success.  Working closely with the VP of Engineering, Product Management, and other business leaders, the Director of Data Science will ensure alignment with GeoComm’s Product-Led Growth (PLG) strategy and Outcome-Based Business Model, delivering high-value AI-powered insights and automation to public safety, K-12, AEC, and facilities management markets.  The Director of Data Science will oversee AI strategy execution, manage cross-functional collaborations, and play a pivotal role in integrating AI/ML solutions into GeoComm’s GIS software platform, including GeoComm I/O and GeoComm Experience Cloud.

Essential Specific Job Duties

1.    Strategic AI & Data Science Leadership

1. 1. Define and implement a data science strategy that aligns with GeoComm’s PLG and outcome-based business objectives.
   2. Lead AI and ML innovation to develop real-time predictive analytics, business continuity solutions, and AI-assisted decision-making capabilities.
   3. Align AI initiatives with GeoComm’s technology roadmap, including GIS, BIM, blockchain, and cybersecurity.
   4. Identify and build strategic AI partnerships with technology vendors, research institutions, and data providers.

2.    AI/ML Model Development & Integration

1. 1. Oversee the development and deployment of AI/ML models for GeoComm’s products and internal operations.
   2. Work with engineering teams to ensure scalable integration of AI into the software development lifecycle (SDLC).
   3. Implement AI-driven data transformation, cleansing, and enrichment processes for improved data quality and insights.

3.    Data-Driven Product Innovation

1. 1. Partner with Product Management to integrate AI-driven capabilities that enhance customer outcomes.
   2. Ensure AI/ML models drive real-time decision support, automation, and efficiency for public safety, security, and smart buildings.
   3. Develop AI-powered recommendation systems and risk assessment tools to improve situational awareness and emergency response.

4.    Operational & Team Leadership

1. 1. Build and mentor a high-performing data science team, hiring ML engineers, data scientists, and AI specialists.
   2. Establish best practices for AI model governance, compliance, and security, ensuring ethical AI development.
   3. Define AI/ML KPIs and success metrics, tracking impact across products, operations, and customer adoption.

5.    Collaboration & Cross-Functional Alignment

1. 1. Work closely with engineering, product, and business teams to ensure AI/ML initiatives are aligned with company objectives.
   2. Act as a thought leader and advocate for AI-driven decision-making within GeoComm.
   3. Represent GeoComm’s AI capabilities in external forums, conferences, and industry collaborations.

Essential Universal Job Duties

• Improves self in any way possible to enhance job performance.
• Promotes the Company, its Mission, Core Values, programs, and achievements to the public and other employees.

·         Core Values:

o   Customer Commitment

o   Continuous Improvement and Innovation

o   Prioritized Urgency

o   One Team

o   Empowered Accountability

• Functions as a team member by assisting, supporting, and encouraging other employees in any way possible.
• Meets deadlines as required.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.  They are not to be construed as an exhaustive list of all job duties performed by the personnel so classified.

Minimum Job Requirements

Desirable Training and Experience

• AI/ML Certifications: Advanced certifications in AI/ML, such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or Microsoft Certified: Azure AI Engineer Associate.
• MLOps & AI Deployment: Hands-on experience with MLOps frameworks (Kubeflow, MLflow, DataRobot) and continuous AI model integration and deployment.
• Deep Learning & Computer Vision: Practical experience in NLP, computer vision, and reinforcement learning, particularly in GIS, smart buildings, or public safety applications.
• Cloud & Edge AI Experience: Understanding of cloud-based AI solutions (AWS SageMaker, Google Vertex AI, Azure AI) and AI inference at the edge for IoT applications.
• Cybersecurity & AI Ethics: Knowledge of AI security, ethical AI development, and bias mitigation in machine learning models.
• Leadership & Change Management: Training in executive leadership, change management, and cross-functional collaboration, ensuring effective AI adoption across GeoComm.
• Data Governance & Compliance: Familiarity with GDPR, CCPA, and AI compliance frameworks to ensure responsible AI development.

Geo-Comm is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, familial status, sexual orientation, veteran status, public assistance status, or any other status protected by applicable law.