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 performanc