Senior Data Scientist

Job Description:

This role will be responsible for importing data, designing experiments, and developing various advanced analytics solutions to inform decision-making regarding customer treatment at SRS Distribution.

The right person for the role is a data scientist who thoroughly enjoys defining and solving mathematical problems to address business questions. The ideal candidate is excited about delivering state-of-the-art and practical data science solutions in the construction industry.

Job Responsibilities:

Define the Scope of the Work (20%)

• Work with product owners of different verticals, branch offices, and the senior leadership to fully understand the background, purpose, and the goals of each project.
• Work with IT and the database team to understand the data infrastructure to support each project.
• Define the additional resources needed to support each project.
• Define the big and small milestones for each project.
• Define the metrics used to evaluate the success and failure of each project.

Responsible for descriptive and inferential statistical analyses (40%)

• Drive novel insights from large and complex data sets by developing and applying cutting-edge data wrangling and analytics capabilities.
• Run descriptive statistical analysis to reveal the trend and pattern of customer data.
• Build, validate and implement predictive models to address key scientific and business questions in partnership with the business owners.
• Work with other stakeholders to design pilots, experiments, or surveys to derive insights for solving business problems.

Dashboard Reporting (10%)

• Build key metrics to track customer segmentation performances.
• Work with data engineering team by delivering accurate and consistent data that meet the reporting needs.
• Create actual reports that can provide deep insights for audience to track our business performances.

Interpret and present results (20%)

• Interpret complex statistical results in an easy-to-understand language
• Convert statistical results into actionable business plans.
• Present analytics or modeling results to both technical and non-technical stakeholders.

Mentorship (10%)

• Guide and mentor junior data scientists.
• Be a data science thought leader who proactively partners internally and externally to promote growth and development of our data scientists, and drive adoption of data science best practices.

Job Qualifications:

• Minimum a bachelor’s degree in a quantitative field such as mathematics, statistics, data science, physics, computer science, or engineering, etc. A master’s degree or a Ph.D. is preferred.
• Minimum 5+ years of experience in a data analytics or data science role with a bachelor’s degree, or 2+ years of experience with a master’s degree.
• Strong expertise in SQL and Python (or R).
• Working knowledge of data visualization or reporting tools such as Tableau, Google Data Studio, Power BI, or QLIK.
• Experience in building statistical and machine learning models independently in a business setting.
• Experience in solving customer-level business problems.
• Strong verbal and written communications skills both to technical and non-technical audiences
• Ability to prioritize and meet timelines in a fast-paced and dynamic environment
• Strong logical thinking skills

Preferred Qualifications:

• Working knowledge of Snowflake, AWS cloud services, and Google Cloud Platform APIs
• Experience with solving business problems in the construction industry

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 - McKinney7440 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.