Job Url: https://www.remoterocketship.com/company/nokia/jobs/senior-data-science-engineer-united-states Job Description: Nokia Website LinkedIn All Job Openings Nokia is a B2B technology innovation leader in networking, providing advanced network solutions to enterprises, service providers, and the public sector worldwide. The company focuses on creating networks that are secure, resilient, and capable of connecting people, machines, and devices globally. Nokia is advancing technologies like 5G, AI, and quantum-safe networks, and it collaborates extensively to drive technological innovation forward. Through its Nokia Bell Labs division, the company also leads in pioneering future technologies, aiming to transform digital potential across various industries. Telecommunications β€’ Software and Services 10,000+ employees Founded 1865 πŸ“‘ Telecommunications 🏒 Enterprise πŸ’° Post-IPO Debt on 2018-12 Senior Data Science Engineer May 28 πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $139.3k - $258.7k / year ⏰ Full Time 🟠 Senior πŸ“Š Data Scientist πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ We are looking for a seasoned Data Science Engineer to join our Advanced Analytics team. β€’ In this role, you will be responsible for designing, developing, and optimizing scalable data science solutions and machine learning pipelines. β€’ Your work will support the deployment, monitoring, and performance tuning of models in production environments. β€’ You’ll collaborate closely with data scientists, mobile core engineers, and application developers to deliver actionable insights through advanced network monitoring and troubleshooting platforms. 🎯 Requirements β€’ 8+ years of experience in data science, machine learning engineering, or ML Ops roles. β€’ Advanced proficiency in Python and key ML/analytics libraries such as scikit-learn, TensorFlow, PyTorch, pandas, and NumPy. β€’ Hands-on experience with ML Ops tools and platforms like MLflow, Kubeflow, SageMaker, Vertex AI, and Airflow. β€’ Deep expertise in deploying, monitoring, and maintaining machine learning models in production environments. β€’ Strong background in data analytics and big data processing using technologies such as Spark and Hadoop, along with proficiency in SQL and NoSQL databases. β€’ Experience working with major cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with CI/CD pipelines, Git, and DevOps best practices. β€’ Experience with data visualization tools such as Tableau, Power BI, or Plotly. β€’ Knowledge of data privacy, security, and compliance considerations in ML and analytics workflows. πŸ–οΈ Benefits β€’ Corporate Retirement Savings Plan β€’ Health and dental benefits β€’ Short-term disability, and long-term disability β€’ Life insurance, and AD&D – Company paid 2x base pay β€’ Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child) β€’ Paid time off for holidays and Vacation β€’ Employee Stock Purchase Plan β€’ Tuition Assistance Plan β€’ Adoption assistance β€’ Employee Assistance Program/Work Life Resource Program