Nagarro Staff Engineer (Data Science - Data Modeling, Operations Research,Optimization,Python) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer (Data Science - Data Modeling, Operations Research,Optimization,Python) Full-time Service Region: South Asia Company Description We're Nagarro . We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description Responsibilities Design, develop, and deploy data science and optimization models into production using APIs, microservices, or cloud platforms (AWS, GCP, Azure). Build, automate, and maintain MLOps workflows using tools such as MLflow, Kubeflow, Airflow, or equivalent. Apply optimization techniquesincluding mixed integer programming, heuristic algorithms, and simulation modelingto solve complex business problems. Implement and maintain scalable and modular Python-based solutions following software engineering best practices (version control, testing, CI/CD). Collaborate with cross-functional teams including software engineers and UX designers to deliver integrated product solutions. Work with optimization solvers and modeling frameworks like Gurobi, CPLEX, Pyomo, or OR-Tools. Develop and maintain data pipelines, perform SQL-based data manipulation, and ensure data quality for analytic workflows. Apply machine learning fundamentals such as linear models, ensemble methods, clustering, and evaluation techniques to support product and model development. Communicate technical concepts, model results, and system implications effectively to both technical and non-technical stakeholders. Ensure solutions are scalable, maintainable, and production-ready with a focus on engineering rigor. Requirements Masters degree (or equivalent experience) in Data Science, Computer Science, Operations Research, Industrial Engineering, or a related quantitative field. Strong expertise in Python and software engineering principles including modular coding, testing, version control, and CI/CD. Demonstrated experience deploying models through APIs, microservices, or cloud environments (AWS, GCP, Azure). Experience building and maintaining MLOps workflows (MLflow, Kubeflow, Airflow, etc.). Strong background in optimization and algorithm design (mixed integer programming, heuristics, simulation). Familiarity with optimization solvers and modeling tools such as Gurobi, CPLEX, Pyomo, or OR-Tools. Proficiency in data engineering concepts including SQL, ETL processes, data modeling, and data quality. Solid understanding of statistical learning and ML basics linear models, ensembles, clustering, evaluation metrics. Experience collaborating within cross-functional product teams (engineering, UX, product). Excellent written and verbal communication skills for interacting with technical and business stakeholders. A mindset focused on scalability, maintainability, and production-quality engineering. Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%20(Data%20Science%20-%20Data%20Modeling%2C%20Operations%20Research%2COptimization%2CPython)%20in%20Remote%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000095337325-staff-engineer-data-science-data-modeling-operations-research-optimization-python-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000095337325-staff-engineer-data-science-data-modeling-operations-research-optimization-python-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000095337325-staff-engineer-data-science-data-modeling-operations-research-optimization-python-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Nagarro%20is%20looking%20for%3A%20Staff%20Engineer%20(Data%20Science%20-%20Data%20Modeling%2C%20Operations%20Research%2COptimization%2CPython)%20in%20Remote%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000095337325-staff-engineer-data-science-data-modeling-operations-research-optimization-python- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Staff Engineer (Data Science - Data Modeling, Operations Research,Optimization,Python) Remote, India Full-time I'm interested I'm interested

The role requires strong expertise in Python and software engineering principles, including modular coding, testing, version control, and CI/CD. Demonstrated experience is needed in deploying models through APIs, microservices, or cloud environments such as AWS, GCP, or Azure. Experience in building and maintaining MLOps workflows is also a requirement. A strong background in optimization and algorithm design, including mixed integer programming, heuristics, and simulation, is necessary. Familiarity with optimization solvers and modeling tools like Gurobi, CPLEX, Pyomo, or OR-Tools is expected. Proficiency in data engineering concepts, including SQL, ETL processes, data modeling, and data quality, is essential. A solid understanding of statistical learning and ML basics, such as linear models, ensembles, clustering, and evaluation metrics, is required. The position also calls for experience collaborating within cross-functional product teams and excellent communication skills. A mindset focused on scalability, maintainability, and production-quality engineering is important. A Masters degree or equivalent experience in Data Science, Computer Science, Operations Research, Industrial Engineering, or a related quantitative field is required. A Bachelors or Masters degree in computer science or Information Technology is also mentioned as a qualification.