Senior Data Scientist IRC279573

Description We are looking for an experienced and visionary Senior Data Scientist to join our client's advanced research and development team. Our customer is a global leader in industry, worker safety, and consumer goods. Headquartered in Maplewood, Minnesota, the company produces over 60,000 innovative products, spanning adhesives, abrasives, laminates, personal protective equipment, window films, paint protection film, electrical and electronic components, car‑care products, electronic circuits, and optical films. In this role, you will lead the design, development, and deployment of cutting‑edge machine learning models and statistical algorithms to solve some of the company's most complex business challenges. You will apply your deep expertise in statistical computing, natural language processing, and reinforcement learning to create real‑world systems that deliver measurable value. As a senior team member, you will shape technical strategy, mentor colleagues, and foster a culture of rigorous experimentation and data‑driven excellence, ensuring that innovation translates into tangible impact across the organization. Requirements Required Qualifications & Skills A Master’s or PhD in Statistics, Applied Mathematics, Machine Learning, Computer Science, or a related quantitative field. 5+ years of hands‑on experience designing and implementing statistical computing, NLP, and/or reinforcement learning algorithms for real‑world systems. Strong theoretical and practical background in statistical computing, including experimental design, fractional factorial and response surface methodology, and multi‑objective optimization. Expert‑level proficiency in Python and its core data science libraries (e.g., scikit‑learn, pandas, NumPy, TensorFlow, PyTorch). Proven experience in synthetic data generation, including stochastic process simulations. Excellent problem‑solving abilities with a creative and analytical mindset. Strong communication and collaboration skills, with a proven ability to present complex results to diverse audiences and thrive in a fast‑paced R&D environment. Preferred Qualifications & Skills Industry experience in Consumer Packaged Goods (CPG) or a related field. Experience contributing to or developing enterprise data stores (e.g., data meshes, lakehouses). Knowledge of MLOps, DevOps methodologies, and CI/CD practices for deploying and managing models in production. Experience with modern data platforms like Microsoft Fabric for data modeling and integration. Experience working with and consuming data from REST APIs. Job responsibilities Model Development & Implementation: Lead the end‑to‑end lifecycle of machine learning projects, from problem formulation and data exploration to designing, building, and deploying advanced statistical, NLP, and/or reinforcement learning models in production environments. Advanced Statistical Analysis: Apply a strong background in statistical computing to design and execute complex experiments (including A/B testing, fractional factorial design, and response surface methodology) to optimize systems and products. Algorithm & Solution Design: Architect and implement novel algorithms for multi‑objective optimization and synthetic data generation, including stochastic process simulations, to solve unique business challenges. Technical Leadership & Mentorship: Provide technical guidance and mentorship to junior and mid‑level data scientists, fostering their growth through code reviews, knowledge sharing, and collaborative problem‑solving. Cross‑Functional Collaboration: Work closely with product managers, engineers, and business stakeholders to identify opportunities, define project requirements, and translate complex scientific concepts into actionable business insights. Research & Innovation: Stay at the forefront of the machine learning and data science fields, continuously researching new techniques and technologies to drive innovation and maintain our competitive edge. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands‑on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem‑solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting‑edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way High‑trust organization. We are a high‑trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward‑thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. #J-18808-Ljbffr