SRS Distribution Inc.

Lead design, development, and deployment of scalable AI/ML solutions, provide technical leadership in MLOps, mentor senior data scientists, and align AI strategy with business goals. | Master’s or PhD with 10+ years of experience in AI/ML, deep expertise in MLOps, leadership in enterprise AI initiatives, and strong executive communication skills. | The Principal Data Scientist is a senior expert and thought leader responsible for driving the design, development, and deployment of scalable AI, ML, and data science solutions to support complex business systems. This role champions technical excellence in MLOps, provides strategic leadership in AI/ML architecture, and partners closely with both technical and business stakeholders to influence outcomes across the enterprise. The ideal candidate combines deep technical expertise with strong executive communication skills and a proven record of delivering measurable business impact. Key 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/Direct Reports: 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 Travel Requirements: Occasional travel (<10%) may be required for strategic planning, leadership meetings, or cross-functional alignment Physical Requirements: Standard office-based physical requirements including prolonged computer usage and participation in virtual and in-person meetings Working Conditions: Hybrid work environment with a combination of remote and on-site work at 7440 S. Hwy 121, McKinney, TX 75070 Minimum 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 Preferred Qualifications: 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 Minimum Education: Master’s degree in a relevant quantitative field or equivalent practical experience Preferred Education: PhD in Machine Learning, Statistics, Applied Mathematics, or a related discipline Minimum Years of Work Experience: 10+ years of experience in data science, machine learning, or AI, with increasing technical leadership responsibilities Certifications: Not required, but relevant certifications (e.g., Microsoft AI-900 certification, TensorFlow Developer Certificate) are a plus. Competencies: 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 Work Location: Hybrid – 7440 S. Hwy 121, McKinney, TX 75070 Not the right job for you? Register your details at the 'Introduce Yourself' link (top right) and we'll be in touch! Job Location: SRS Distribution - McKinney 7440 State Highway 121 McKinney, TX 75070-3104 Equal Opportunity Employer. Veteran Friendly Employer. SRS Distribution believes in hiring military veterans at any level for any position. We know your service trained you in many of the areas we value, such as; leadership, teamwork, performance, integrity, and safety. If your experience matches our requirements, we want you to apply today. Competitive salaries for all team members paid weekly 401(k) Retirement Plan with company matching Paid Vacation, Sick Time, Holidays, Birthday, and Floating Holidays Paid Parental Leave 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 Safety Program with Bonuses for our Drivers Employee Referral Bonus Program SRS Distribution Inc., a wholly owned subsidiary of The Home Depot, consists of a family of industry-leading, independent roofing distributors. SRS has grown rapidly through acquisitions and the opening of multiple new locations since the February 2008 inception. This continual growth has established SRS as one of the fastest growing building products distribution companies in the U.S. The goal of SRS is to form the strongest national network of independent roofing and building product distributors with the most talented team of people working together to deliver the industry's best products and services. In addition to our commitment to customer focus, SRS strives to become the preferred employer in the industry with highly motivated and engaged employees operating in an entrepreneurial culture where the corporate office works for the field and not the reverse. Make money, have fun and give back with us! Find out more at www.srsdistribution.com. As an Equal Employment Opportunity (EEO) employer SRS Distribution Inc., including all its subsidiaries, provides job opportunities to qualified individuals without regard to actual or perceived race, color, creed, religion, national origin, sex, gender, age, disability, gender identity, sexual orientation, citizenship status, uniform service, veteran status, marital status, genetic information, physical or mental disability, or any other characteristic in accordance with applicable federal, state, and local EEO laws. If you are an individual with a disability or a disabled veteran and require a reasonable accommodation in applying for any posted position, please contact Human Resources at US: 855.556.3221, or by email to: HR@Help.SRSDistribution.com with the nature of your accommodation request and include the Business name, location and title of the job opening. Please allow one (1) business day for a reply. All candidates for employment must successfully complete pre-employment drug testing (where applicable) and background verification before employment is finalized.

Design and deploy advanced ML and optimization models, lead data science projects, mentor junior staff, and implement GenAI solutions in a hybrid work environment. | Master’s degree plus 5+ years applied data science experience with proficiency in ML frameworks, leadership, experimental design, and GenAI application. | Position Purpose: The Senior Data Scientist is responsible for designing and implementing advanced machine learning and optimization models to support business decision-making in key areas such as sales, operations, and pricing. This role will lead projects, mentor junior team members, and contribute to enterprise-wide GenAI initiatives. The ideal candidate brings strong technical expertise, business acumen, and the ability to communicate insights effectively to stakeholders at all levels. Key Responsibilities: Design and implement advanced ML models, optimization solutions, and statistical analyses to solve complex business problems Lead small-to-medium scale data science projects from ideation to deployment Mentor and provide technical guidance to junior data scientists Prototype and deploy GenAI and LLM-based solutions in enterprise applications Collaborate with cross-functional teams including operations, product, and engineering to ensure successful model adoption Monitor and evaluate model performance; conduct A/B testing and experimental design for continuous improvement Communicate technical findings and data-driven recommendations to both technical and executive stakeholders Direct Manager/Direct Reports: Direct manager: Sr. Director of Applied AI Direct reports: No direct reports but expected to mentor senior data scientists and lead cross-functional project teams Travel Requirements: Occasional travel may be required (<10%), primarily for team collaboration or business meetings Physical Requirements: Standard office work including prolonged periods at a computer and attending meetings (virtual/in-person) Ability to work effectively in a hybrid environment Working Conditions: Standard office environment Minimum Qualifications: Master’s degree in Data Science, Statistics, Computer Science, or a similar quantitative discipline At least 5 years of experience in applied data science roles Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning techniques Proficient in model deployment using ML frameworks such as TensorFlow, PyTorch, and MLflow Solid grasp of experimental design, statistical inference, and A/B testing methodologies Preferred Qualifications: PhD in Statistics, Machine Learning, Applied Mathematics, or a related field Experience delivering end-to-end data science solutions to solve real-world business problems Familiarity with MLOps practices and lifecycle management Experience applying GenAI technologies in enterprise use cases Strong ability to distill complex analyses into executive-level presentations and recommendations Minimum Education: Master’s degree in a relevant quantitative or technical field Preferred Education: PhD in a quantitative field such as Statistics, Machine Learning, or Applied Mathematics Minimum Years of Work Experience: 5+ years in applied data science, machine learning, or similar roles Certifications: Not required, but relevant certifications (e.g., Microsoft AI-900 certification, TensorFlow Developer Certificate) are a plus. Competencies: Strong technical expertise in machine learning and data science Effective leadership and mentoring skills Strong communication and presentation abilities Business acumen with the ability to align data science work to strategic objectives Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Familiarity with data engineering workflows and cloud-based deployments Innovative thinking, especially in applying GenAI in business contexts Work Location: Hybrid – 7440 S. Hwy 121, McKinney, TX 75070 Position Purpose: The Senior Data Scientist is responsible for designing and implementing advanced machine learning and optimization models to support business decision-making in key areas such as sales, operations, and pricing. This role will lead projects, mentor junior team members, and contribute to enterprise-wide GenAI initiatives. The ideal candidate brings strong technical expertise, business acumen, and the ability to communicate insights effectively to stakeholders at all levels. Key Responsibilities: Design and implement advanced ML models, optimization solutions, and statistical analyses to solve complex business problems Lead small-to-medium scale data science projects from ideation to deployment Mentor and provide technical guidance to junior data scientists Prototype and deploy GenAI and LLM-based solutions in enterprise applications Collaborate with cross-functional teams including operations, product, and engineering to ensure successful model adoption Monitor and evaluate model performance; conduct A/B testing and experimental design for continuous improvement Communicate technical findings and data-driven recommendations to both technical and executive stakeholders Direct Manager/Direct Reports: Direct manager: Sr. Director of Applied AI Direct reports: No direct reports but expected to mentor senior data scientists and lead cross-functional project teams Travel Requirements: Occasional travel may be required (<10%), primarily for team collaboration or business meetings Physical Requirements: Standard office work including prolonged periods at a computer and attending meetings (virtual/in-person) Ability to work effectively in a hybrid environment Working Conditions: Standard office environment Minimum Qualifications: Master’s degree in Data Science, Statistics, Computer Science, or a similar quantitative discipline At least 5 years of experience in applied data science roles Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning techniques Proficient in model deployment using ML frameworks such as TensorFlow, PyTorch, and MLflow Solid grasp of experimental design, statistical inference, and A/B testing methodologies Preferred Qualifications: PhD in Statistics, Machine Learning, Applied Mathematics, or a related field Experience delivering end-to-end data science solutions to solve real-world business problems Familiarity with MLOps practices and lifecycle management Experience applying GenAI technologies in enterprise use cases Strong ability to distill complex analyses into executive-level presentations and recommendations Minimum Education: Master’s degree in a relevant quantitative or technical field Preferred Education: PhD in a quantitative field such as Statistics, Machine Learning, or Applied Mathematics Minimum Years of Work Experience: 5+ years in applied data science, machine learning, or similar roles Certifications: Not required, but relevant certifications (e.g., Microsoft AI-900 certification, TensorFlow Developer Certificate) are a plus. Competencies: Strong technical expertise in machine learning and data science Effective leadership and mentoring skills Strong communication and presentation abilities Business acumen with the ability to align data science work to strategic objectives Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Familiarity with data engineering workflows and cloud-based deployments Innovative thinking, especially in applying GenAI in business contexts Work Location: Hybrid – 7440 S. Hwy 121, McKinney, TX 75070 Not the right job for you? Register your details at the 'Introduce Yourself' link (top right) and we'll be in touch! Job Location: SRS Distribution - McKinney 7440 State Highway 121 McKinney, TX 75070-3104 Equal Opportunity Employer. Veteran Friendly Employer. SRS Distribution believes in hiring military veterans at any level for any position. We know your service trained you in many of the areas we value, such as; leadership, teamwork, performance, integrity, and safety. If your experience matches our requirements, we want you to apply today. Competitive salaries for all team members paid weekly 401(k) Retirement Plan with company matching Paid Vacation, Sick Time, Holidays, Birthday, and Floating Holidays Paid Parental Leave 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 Safety Program with Bonuses for our Drivers Employee Referral Bonus Program SRS Distribution Inc., a wholly owned subsidiary of The Home Depot, consists of a family of industry-leading, independent roofing distributors. SRS has grown rapidly through acquisitions and the opening of multiple new locations since the February 2008 inception. This continual growth has established SRS as one of the fastest growing building products distribution companies in the U.S. The goal of SRS is to form the strongest national network of independent roofing and building product distributors with the most talented team of people working together to deliver the industry's best products and services. In addition to our commitment to customer focus, SRS strives to become the preferred employer in the industry with highly motivated and engaged employees operating in an entrepreneurial culture where the corporate office works for the field and not the reverse. Make money, have fun and give back with us! Find out more at www.srsdistribution.com. As an Equal Employment Opportunity (EEO) employer SRS Distribution Inc., including all its subsidiaries, provides job opportunities to qualified individuals without regard to actual or perceived race, color, creed, religion, national origin, sex, gender, age, disability, gender identity, sexual orientation, citizenship status, uniform service, veteran status, marital status, genetic information, physical or mental disability, or any other characteristic in accordance with applicable federal, state, and local EEO laws. If you are an individual with a disability or a disabled veteran and require a reasonable accommodation in applying for any posted position, please contact Human Resources at US: 855.556.3221, or by email to: HR@Help.SRSDistribution.com with the nature of your accommodation request and include the Business name, location and title of the job opening. Please allow one (1) business day for a reply. All candidates for employment must successfully complete pre-employment drug testing (where applicable) and background verification before employment is finalized.

Manage and collect accounts receivable, communicate with customers and sales teams, process credit applications, and support multiple branches under direction of credit management. | Credit or collections experience preferred, proficiency in Microsoft Office, strong communication and analytical skills, ability to multitask and handle stress, and pass pre-employment checks. | Description: • Protect and collect the company’s account receivable (AR) portfolio assigned by the Regional Credit Manager for the North California area • Make collection calls and provide lien/prelien support and duties • Communicate with internal and external customers, perform customer account reviews, and recommend actions on accounts to internal customers • Take direction from the RCM and/or Director of Credit; role provides direct training for an RCM role • Evaluate and release orders from ticket hold and maintain notes in company computer system on accounts • Process & approve credit applications and job accounts within authority level; learn to establish credit lines; review decisions with RCM as needed • Communicate with Sales team and credit team; track and reconcile deductions; manage lien waivers and joint check review; enforce credit policy and guide/educate sales team and customers • Monitor deadlines for notices, mechanics liens and bond claims; send notices as needed with RCM approval • May include cash application interaction; participate in credit team meetings and key performance indicator reviews • Work closely with the RCM and support 15 or more branches; perform other responsibilities and projects as assigned. Requirements: • Credit/collection experience preferred • Working knowledge of Microsoft products, including PowerPoint, Word, and Excel • Ability to effectively communicate with broad range of people, positions and situations • Have good working knowledge of Notices, mechanics liens, payment bonds and bond claims • Effective written and verbal skills • Ability to efficiently multi-task • Analytical skills • Decisive • Ability to “think different” • Not afraid to speak their mind • Self-motivated • Ability to handle and resolve conflict/confrontation • Ability to handle stress and stressful situations • Ability to handle fast paced environment • Ability to support 15 or more branches • Must successfully complete pre-employment drug testing (where applicable) and background verification before employment is finalized. Benefits: • Weekly Pay • Day One 401(k) Plan participation with Generous Company Match • Generous Paid Time Off, Holidays, Birthday, and Floating Holidays • Paid Parental Leave • Medical, Dental and Vision Benefits • Employee Referral Bonus Program • Flexible and Dependent Care Spending Accounts • Company paid Life insurance and Short-Term Disability • Additional Life Insurance and Long-Term Disability also offered • Safety Program with Bonuses for our Drivers

Administer and assist in the design and upkeep of compensation programs, conduct benchmarking studies, analyze compensation policies, generate reports, and recommend improvements. | Bachelor's degree, 5+ years administering compensation programs in a multi-state organization, advanced Excel skills, familiarity with compensation survey vendors, and preferred CCP certification. | SRS Distribution, Inc. is building a World Class HR organization and searching for a Senior Compensation professional to join our team. The Senior Compensation Analyst will be responsible for assisting in the administration of the Company’s compensation programs; as well as, leading the way on special projects regarding compensation initiatives. Please note this position is a hybrid role and will require working 2-3 days a week out of our McKinney, TX headquarters office. ESSENTIAL DUTIES & RESPONSIBILITIES: Organization, flexibility, extraordinary customer focus and strong communication skills are essential in performing the duties of this position. The essential duties & responsibilities of this position will be as follows: Compensation Design & Administration • Responsible for administering and assisting in the design and upkeep of the Company’s approved compensation programs to include: • Base Wage Program • Annual Incentive Programs • Performance Based Incentive Programs • Commissions Programs • Conduct annual compensation benchmarking studies to ensure SRS is paying market competitive wages • Analyze existing and proposed programs, policies and practices to ensure they are compliant, competitive, and cost effective • Review salary adjustments to ensure actions are within established guidelines and policies • Generate ad hoc compensation reports by utilizing Workday and Excel Additional Responsibilities • Provides analytics and ad-hoc reports for all compensation, Federal & State regulatory requirements and for internal use • Proactively identifies areas for opportunity and recommends solutions for continual improvements KNOWLEDGE, SKILLS AND ABILITIES: • Strong analytical skills with excellent attention to detail • Working knowledge of compensation • Knowledge of all applicable Federal & State regulations pertaining to employer compensation practices. • Advanced interpersonal, communication and organizational skills • Strong customer service focus • Excellent planning and prioritization, problem solving, and business partnering skills • Ability to influence and successfully implement organizational changes EDUCATION/EXPERIENCE: • Bachelor's degree in Business from an accredited University/College with an emphasis in Human Resources, Accounting, Finance or a similar area of study • Minimum of 5 years of experience administering compensation programs for a large multi-state organization • Familiarity with various compensation survey sources/vendors (e.g. Willis Towers Watson, Mercer, Payfactors) • Demonstrated proficiency in using Microsoft Office Products (MS-Word, Excel, & PowerPoint) • Advanced user of MS-Excel required; placement is subject to an excel skills test • CCP Certification preferred but not required Not the right job for you? Register your details at the 'Introduce Yourself' link (top right) and we'll be in touch! Job Location: SRS Distribution - McKinney 7440 State Highway 121 McKinney, TX 75070-3104 Equal Opportunity Employer. Veteran Friendly Employer. SRS Distribution believes in hiring military veterans at any level for any position. We know your service trained you in many of the areas we value, such as; leadership, teamwork, performance, integrity, and safety. If your experience matches our requirements, we want you to apply today.