[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Staffing-Agency-Recruitment is seeking a full-time Data Scientist to join their Data Analytics team. The role involves leveraging advanced analytical techniques and machine learning to uncover opportunities and drive data-informed outcomes while collaborating with various business teams to improve operational efficiency and revenue growth.

Responsibilities

• Partner with the business to uncover opportunities, optimize performance, and drive data-informed outcomes
• Develop predictive and prescriptive models and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance
• Work with large, complex datasets spanning manufacturing, distribution, pricing, and customer behavior
• Collaborate closely with the Data Engineering team to ensure alignment across data workflows and infrastructure

Skills

• 5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference 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 (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 Python and 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 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
• 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 (Master's degree preferred)
• Occasional travel up to 15% of time
• Occasional exposure to a plant environment
• Experience working with SAP (S/4 HANA, ECC, BTP, etc.)
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Experience in text analytics, image recognition, graph analysis, or other specialized ML techniques (e.g., deep learning)
• Experience in manufacturing, building products, or construction-related industries

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