Senior Data Scientist

5 days ago Be among the first 25 applicants HyLogic is a mid‑sized, fast‑growing IT Supply Chain company, proudly serving Fortune 100 clients. We are passionate about unlocking new efficiencies in our customers’ supply chains by combining deep business understanding with breakthrough technologies. Our team thrives on innovation, collaboration, and delivering excellence in everything we do. As we continue to expand, we’re looking for dedicated and ambitious individuals to join our journey of growth and success. Senior Data Scientist, you will work with project teams and business stakeholders to design and implement advanced data science models to solve concrete business cases for our customers. You will deep‑dive into customer’s data, build solutions, generate actionable insights and apply machine learning models to generate business value and drive insights. You will have a tangible impact on existing and future solutions both internally and with the customer. You will directly work in industry projects and engage with external stakeholders to identify, investigate and analyze business processes and work practices. Requirements Minimum of 3 years of practical experience in data science, statistical modeling, and analytics solution development. Strong expertise in regression models, tree based models, statistical modeling, machine learning, and time series analysis for demand forecasting at scale. Solid understanding of supply chain domains such as planning, demand forecasting, or replenishment, including knowledge of end‑to‑end business processes. Proficiency in Python and SQL, with demonstrated ability to write, review, and maintain clean, well‑structured, and efficient code. Strong communication and collaboration abilities to work effectively with peers and clients to deliver agreed outcomes. Fluency in business English, both written and spoken. Educational background in a technical or quantitative field such as Computer Science, Operations Research, Data Science, Engineering, Economics, or another STEM discipline. Responsibilities Collaborate with business and technical stakeholders to define, design, and deliver analytical solutions aligned with supply chain objectives. Analyze datasets across multiple systems to identify business opportunities and develop data‑driven strategies. Apply statistical and machine learning techniques to improve forecast accuracy and planning efficiency. Transform analytical outputs into insights and actionable recommendations for clients. Present analytical results visually and verbally to technical and non‑technical audiences. Support the integration of models into production environments and ensure code quality and maintainability. Stay current with emerging technologies in data science and supply chain optimization. Nice to have Hands‑on experience with cloud‑based environments such as Azure, and familiarity with Databricks for distributed computing. Working knowledge of Git, DevOps pipelines, and CI/CD practices. Experience operating within Agile project environments. Familiarity with supply chain planning tools and the ability to evaluate their analytical integration potential. Exposure to scalable solution design and data architecture considerations in enterprise settings. Rewarding, challenging, and dynamic work in an international environment. Ongoing learning and development opportunities. Flexible and agile work practices that focus on our people’s well‑being to drive innovation and entrepreneurship. Reasons to Join Our Team: Tangible impact on the company you work for. Collaboration with professionals from the IT and Supply Chain industry in a fun environment. Exposure to cutting‑edge technologies and business frameworks. “We Get Things Done”– we value work in an agile high‑growth company. This can be achieved with the right balance of planning and pragmatism. Sounds interesting? Let’s connect Apply via: https://hylogic.peopleforce.io/careers/v/159190-senior-data-scientist?source_id=41067 Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr