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Director Predictive Analytics Jobs in Mississippi

... predictive analytics readiness, and standardized control architectures to support SpaceXAI ... Direct experience designing, implementing, and sustaining OT infrastructure in large-scale critical ...

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

Fleet Technician 3 (Entry Level) - Days

Greenwood, MS · On-site

$20.75 - $27.75/hr

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

Maintenance Manager | Direct Hire 📍 Columbus, MS We're partnering with a well-established metal ... Experience with CMMS and preventive/predictive maintenance programs * Background supporting PLC ...

Showing results 21-40

Director Predictive Analytics information

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What cities in Mississippi are hiring for Director Predictive Analytics jobs?

Cities in Mississippi with the most Director Predictive Analytics job openings:

Operational Technology Engineer

SpaceXAI

Southaven, MS • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

SpaceXAI is seeking an exceptional Operational Technology (OT) Engineer to own the design, implementation, optimization, and long-term reliability of industrial control and monitoring systems across our next-generation hyperscale data center campuses and co-located power generation facilities. You will architect and deliver resilient OT infrastructure supporting BMS, EPMS, SCADA, PLC, and related OT systems capable of supporting ultra-dense AI compute loads, massive power infrastructure, and aggressive deployment timelines that redefine industry standards. This is a high-impact, high-ownership role for an exceptional engineer who thrives in fast-paced, technically demanding environments. You will combine deep expertise in industrial automation, control systems, and mission-critical infrastructure with exceptional speed of execution, while seamlessly collaborating across mechanical, electrical, facilities operations, networking, and construction teams to deliver the control backbone that powers the future of AI.

RESPONSIBILITIES:
  • Own end-to-end OT critical infrastructure design, programming, configuration, commissioning, sustainment, and ongoing optimization. Deliver high availability OT infrastructure for critical hyperscale cooling & power control systems, including datacenter facility networks (MDFs/IDFs), industrial control networks (PLCs, turbines, etc.), and server rooms with switches/hosts/virtualization.Provide on-call network infrastructure support for BMS, EPMS, SCADA, PLC, and related systems (connectivity, addressing, protocol transport, troubleshooting at Layers 1–3/4).
  • Hands-on design and sustainment of Juniper fiber/copper networks in OT/facility environments (EX/QFX series preferred), including segmentation, VRFs, and integration with industrial control networks.
  • Design, implement, and secure OT networks and communications (BACnet, Modbus, OPC UA, MQTT, Ethernet/IP, and related protocols) while driving robust segmentation, monitoring, and cybersecurity practices.
  • Drive cross-functional multidisciplinary coordination with mechanical, electrical, structural, facilities operations, IT/OT networking, and construction teams to ensure seamless integration of control systems with overall campus infrastructure.
  • Perform advanced troubleshooting, root-cause analysis, and continuous improvement of OT systems to maximize availability, and operational resilience.
  • Deliver rapid, high-quality responses to field issues, design reviews, RFIs, and operational needs while maintaining rigorous documentation, change control, and design intent.
  • Identify and implement innovative solutions in industrial automation, advanced monitoring, predictive analytics readiness, and standardized control architectures to support SpaceXAI's aggressive growth trajectory.
  • Mentor junior engineers and technicians and contribute to the continuous improvement of SpaceXAI's OT design standards, programming standards, and best practices for mission-critical facilities.
BASIC QUALIFICATIONS:
  • Bachelor's degree in Controls Engineering, Automation Engineering, Electrical Engineering, Mechatronics, Computer Engineering, or a related technical field (or equivalent practical experience).
PREFERRED SKILLS AND EXPERIENCE:
  • 5+ years of progressive, high-quality hands-on experience as a Controls / OT / Automation Engineer on data centers, semiconductor fabs, power plants, heavy industrial, or other mission-critical facilities.
  • Direct experience designing, implementing, and sustaining OT infrastructure in large-scale critical infrastructure environments for control systems such as BMS, EPMS, and SCADA.
  • Systems administration experience for virtualization platforms (Proxmox/VMware), Juniper networks, and SQL databases.
  • Experience hardening and monitoring OT servers (RAID, UPS-backed, isolated management planes
  • E experience with industrial communication protocols (BACnet, Modbus TCP/RTU, OPC UA, MQTT, Ethernet/IP, DNP3) and OT network design/segmentation.
  • Track record of delivering complex control system projects with exceptional speed and uncompromising quality in fast-moving environments.
  • Familiarity with OT cybersecurity principles, secure remote access, and coordination with IT networking teams (VLANs, VRFs, firewalls, jump hosts, remote access, monitoring). 
  • Optional experience with control systems programming (Ignition SCADA, Siemens TIA portal).
  • Experience supporting commissioning of major mechanical and electrical systems in data centers or industrial plants.
  • Proven cross-functional collaboration skills with mechanical, electrical, facilities operations, construction, and networking teams.
  • Willingness to travel to project sites as required and to work extended hours or non-standard shifts when needed to support critical operations and deployments.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US