Responsibilities

Drive the design and development of advanced AI/DS/ML solutions that support large-scale and complex business operations
Lead technical excellence in MLOps practices, ensuring scalable and reliable machine learning deployments
Serve as a thought leader in AI/ML, mentoring junior data scientists and guiding architectural decisions and long-term roadmaps
Own cross-functional collaboration efforts with engineering, data engineering, platform, and product teams to ensure seamless delivery and adoption of AI/ML products
Partner with business and functional leaders to align AI/DS strategy with organizational goals and influence decision-making through data-driven insights
Represent the data science function in strategic discussions and executive forums
Direct manager: Sr. Director of Applied AI
Direct reports: No direct reports but may serve as a team lead or player-coach, providing mentorship to senior data scientists and technical contributors
Occasional travel (<10%) may be required for strategic planning, leadership meetings, or cross-functional alignment
Standard office-based physical requirements including prolonged computer usage and participation in virtual and in-person meetings
Hybrid work environment with a combination of remote and on-site work at 7440 S. Hwy 121, McKinney, TX 75070

Basic qualifications

Master’s degree or PhD in a quantitative field (e.g., Statistics, Machine Learning, Applied Mathematics), or at least 10 years of professional experience with a strong track record of building and deploying scalable AI/ML systems
Mastery of a wide variety of machine learning models and AI techniques, including MLOps best practices
Demonstrated ability to translate complex AI/ML concepts into strategic business impact
Experience leading cross-functional initiatives and delivering data products at enterprise scale
Strong communication and influence at the executive level

Proven leadership in DS/AI/ML/Optimization within complex enterprise ecosystems
Experience managing high-performing data science teams and leading large-scale, cross-functional programs
Familiarity with regulatory and ethical implications of AI/ML in production environments
Demonstrated success in aligning AI initiatives with key business KPIs and influencing strategic priorities
Master’s degree in a relevant quantitative field or equivalent practical experience
PhD in Machine Learning, Statistics, Applied Mathematics, or a related discipline
10+ years of experience in data science, machine learning, or AI, with increasing technical leadership responsibilities
Not required, but relevant certifications (e.g., Microsoft AI-900 certification, TensorFlow Developer Certificate) are a plus.
Deep expertise in AI/ML modeling and MLOps
Strategic and technical leadership across enterprise-level initiatives
Excellent problem-solving and critical thinking abilities
Strong cross-functional collaboration skills
Outstanding executive communication and stakeholder management
High level of initiative, innovation, and long-term strategic thinking
Hybrid – 7440 S. Hwy 121, McKinney, TX 75070

Competitive salaries for all team members paid weekly
401(k) Retirement Plan with company matching
Employee Stock Purchase Program
Paid Vacation, Sick Time, Volunteer Day, Holidays, Birthday, and Floating Holidays
Paid Parental Leave, Adoption Assistance Program
Medical, Dental and Vision Benefits
Flexible and Dependent Care Spending Accounts
Company paid Life insurance and Short-Term Disability
Additional Life Insurance and Long-Term Disability also offered
Mental, Physical and Emotional Well-Being Programs for Employees and Families
Wellness Program and Safety Program with Bonuses for our Drivers
Employee Referral Bonus Program

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Remote Machine Learning Data Science Mlops