Senior Data Scientist - Machine Learning Our company culture is focused on helping our employees enable innovation by building breakthroughs together. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!
What You Will Do: Develop innovative machine learning models to streamline the interaction between users and data within the SAP Analytics Cloud Just Ask feature that brings Generative AI into our data analytics offering.Collaborate with cross-functional teams to understand user needs and translate them into effective data-driven solutions.Apply statistical analysis and predictive modeling techniques to build, maintain, and improve on real-time decision systems.Design and implement machine learning algorithms to process and analyze large datasets.Evaluate the effectiveness of user interactions and model performance continuously, iterating on feedback.Engage in knowledge sharing and contribute to the team's collective learning and success.What You Bring: A PhD or equivalent experience in Computer Science, Statistics, Applied Mathematics, or a related field.4+ years of extensive experience in data science, machine learning, or a related role, with a distinguished record of innovative contributions and leadership in technology development.Expertise in developing and training advanced machine learning models using frameworks such as TensorFlow, PyTorch, and Keras.Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS, Google Cloud, Azure) and technologies like Docker and Kubernetes.Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models.Skilled in performing efficient data preprocessing, feature engineering, and augmentation techniques to improve model performance.Preferred: Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop.Mastery of statistical analysis and predictive modeling techniques, applying rigorous validation methods (cross-validation, bootstrapping).Experience in implementing real-time inference systems, optimizing models for latency and throughput.Familiarity with machine learning model monitoring and management practices.Strong analytical skills in evaluating the effectiveness of AI/ML models and algorithms.Proficient in the ethical and responsible use of AI.Exceptional communication, leadership, and mentorship skills, with fluency in English and Italian.Meet Your Team: You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.Our team is composed of experts in machine learning, data engineering, and user experience.We foster a culture of collaboration, learning, and growth.Enjoy the benefits of working within a diverse and international environment.We build breakthroughs together SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused.
We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer.
EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender, sexual orientation, gender identity or expression, protected veteran status, or disability.
Requisition ID: 388508 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
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