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Data Scientist (SCM)
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CTI Consulting
Deerfield Beach, FL (In Person)
$197,600 Salary, Full-Time
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Job Description
Job Summary We are seeking a dynamic and innovative Data Scientist specializing in Supply Chain Management (SCM) to join our team. In this role, you will leverage advanced data analytics, machine learning, and AI techniques to optimize supply chain processes, improve forecasting accuracy, and drive strategic decision-making. Your expertise will help transform complex data into actionable insights, enabling more efficient inventory management, logistics planning, and overall supply chain performance. This position offers an exciting opportunity to work at the forefront of big data analytics and contribute to the digital transformation of supply chain operations. Responsibilities Develop and implement machine learning models for demand forecasting, inventory optimization, and logistics planning using frameworks such as TensorFlow and Spark. Design and maintain scalable ETL pipelines to extract, transform, and load large datasets from diverse sources into analytical platforms. Conduct data mining and natural language processing (NLP) to uncover patterns, trends, and insights from unstructured data such as supplier reports or customer feedback. Collaborate with cross-functional teams to translate business needs into technical solutions utilizing SQL, Python, R, Java, and Bash scripting. Optimize database design for efficient storage and retrieval of supply chain data within Hadoop clusters or cloud-based environments like AWS. Lead model training, validation, deployment, and monitoring processes to ensure high accuracy and reliability of predictive analytics solutions. Utilize visualization tools such as Looker to communicate findings clearly to stakeholders and support data-driven decision-making. Skills Proficiency in programming languages including Python, R, Java, C, VBA, and Bash (Unix shell). Extensive experience with big data technologies such as Hadoop, Spark, Talend, and cloud platforms like AWS. Strong knowledge of machine learning frameworks including TensorFlow and other AI tools for developing scalable models. Expertise in unsupervised learning techniques for clustering and anomaly detection within large datasets. Solid understanding of database design principles and experience working with SQL databases. Familiarity with natural language processing (NLP), data mining methods, and linked data concepts for integrating diverse information sources. Hands-on experience with model deployment strategies ensuring seamless integration into production environments. Knowledge of analytics tools such as SAS or Looker for advanced reporting and visualization purposes. Experience with model training workflows specific to supply chain applications—forecasting accuracy improvements or logistics optimization. Ability to work effectively in a fast-paced environment while managing multiple projects simultaneously. Join us in transforming supply chain management through innovative data science solutions! This paid position offers an engaging environment where your analytical skills will directly impact operational excellence across global supply networks.