Senior Data Scientist

Full time

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Employment Information

Job levelSenior level

IndustrySoftware Development

Experience4+ years

LocationRoma, Italy

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. 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, ensuring high accuracy and efficiency for a variety of applications.
Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS, Google Cloud, Azure) and technologies like Docker and Kubernetes for containerization and orchestration.
Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models, to solve complex problems in natural language processing, and sequential data analysis.
Skilled in performing efficient data preprocessing, feature engineering, and augmentation techniques to improve model performance and generalization on unseen data.
Preferred: Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analyzing large datasets, enabling the extraction of meaningful insights from voluminous data.
Mastery of statistical analysis and predictive modeling techniques, applying rigorous validation methods (cross-validation, bootstrapping) to assess model reliability and performance.
Experience in implementing real-time inference systems, optimizing models for latency and throughput to meet the demands of live data processing and decision-making applications.
Familiarity with machine learning model monitoring and management practices, including version control, performance tracking, and updating models in response to drift in data patterns.
Strong analytical skills in evaluating the effectiveness of AI/ML models and algorithms through metrics and KPIs, ensuring continuous improvement in alignment with business objectives.
Proficient in the ethical and responsible use of AI, including understanding biases in data and models, ensuring privacy compliance (e.g., GDPR), and promoting transparency and fairness in machine learning applications.
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, all working together to drive innovation at SAC Just Ask.
We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe.

We build breakthroughs together

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

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 (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor.

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