Note: The job is a remote job and is open to candidates in USA. LP Building Solutions is a leading provider of high-performance building solutions, and they are seeking a full-time data scientist to join their data analytics team. This role involves leveraging advanced analytical techniques and statistical modeling to uncover opportunities and drive data-informed outcomes across various business functions.
Responsibilities
- Complete end-to-end data science initiatives, from business problem framing and data exploration through model development, validation, deployment partnership, and performance monitoring
- Work directly with internal and external customers to define success criteria, hypotheses, and measurable outcomes. Translate the business needs into analytics/reporting requirements to support executive decisions and workflows with required information
- Design, build, and evaluate predictive, prescriptive, and statistical models that improve decision-making, operational efficiency, customer outcomes, or financial performance
- Design and evaluate experiments to test hypotheses, measure impact, and guide decisions (e.g., A/B, Multivariate, simulation, scenario, Quasi, etc.)
- Apply advanced analytical methods such as machine learning, forecasting, optimization, causal inference, and experimentation to solve high-value business problems
- Proactively identify trends and patterns and generates insights for business units and senior leadership
- Work with the IT Data Engineering team to integrate data from multiple sources including CRM, ERP, Operational systems, web analytics, and third-party datasets for analysis
- Research and implement cutting-edge techniques and tools in machine learning/artificial intelligence to make data analysis more efficient
- Present insights and recommendations to stakeholders in a clear, business-focused manner. You will need to simplify complex methodologies into actionable business insights
- Establish processes and tools that monitor, analyze and continuously improve model performance and data accuracy
- Partner with the Analytics leadership team to align initiatives and strategy. Contribute to enterprise analytics roadmap and best practices
- Support other Analytics team members by providing technical guidance, peer review, and thought partnership
Skills
- 5+ years of progressive experience in data science, advanced analytics, or a closely related field, preferably supporting marketing or commercial teams
- Experience in the development of Machine Learning models and AI frameworks
- Experience working with data visualization and business intelligence tools to communicate insights effectively. (e.g., Tableau, Power BI, or similar tools)
- Experience working with enterprise data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery)
- Experience working with data from large enterprise applications (e.g., ERP, CRM or Operational systems)
- Fluency in multiple analytical programming languages such as Python & SQL (required), R (optional)
- Demonstrated experience developing and validating statistical models, machine learning algorithms, and advanced analytical solutions using large, complex datasets
- Strong competency in Statistical & Quantitative Methods (e.g., Hypothesis testing, regression, probability theory, experimental design etc)
- Demonstrated experience and comfortable with experimentation and causal analysis
- Demonstrated experience with experimental design, model evaluation, and performance measurement
- Strong understanding of data pipelines, ETL processes, and data architecture
- Proven success in supervised and unsupervised learning (e.g., regression, classification, clustering)
- Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
- Excellent presentation, communication and stakeholder management skills, with the ability to explain technical concepts in business terms to a diverse audience with a wide range of understanding
- Highly self-motivated with proven ability to operate autonomously. managing multiple priorities, in a fast-paced environment
- Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
- Bachelor's degree in computer science, mathematics, data science, statistics, or a related quantitative field
- Preferred experience working with SAP (S/4 HANA, ECC, BTP, etc.)
- Preferred experience working with Cloud platforms (AWS, Azure, or GCP)
- Preferred experience in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning
- Preferred experience in manufacturing, building products, or construction-related industries
- Master's degree preferred
Benefits
- Health and welfare benefits
- 401(k) program
- Career mobility
- Tuition reimbursement
- Volunteer opportunities
- Profit sharing
Company Overview