Associate Data Scientist – Machine Learning

2 mesi fa

Lazio, Italia Nlp People A tempo pieno

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'll 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 degree in Computer Science, Statistics, Applied Mathematics, or related field.

– Preferred: 1 year of relevant experience in data science or machine learning.

– Proficiency in programming languages such as Python, familiarity with ML libraries (e.g., scikit-learn, TensorFlow).

– Preferred: with data manipulation and analysis using SQL and NoSQL databases.

– Solid understanding of machine learning principles, algorithms, and statistical methods.

– Excellent problem-solving skills and the ability to work in a fast-paced environment.

– Strong communication skills, with proficiency in English; Italian language skills are a plus.

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.

Location

SAP is not offering international relocation benefits for this role currently. Only candidates who have legal authorization to Work in Italy and are currently based in Italy will be considered.

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:

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.

Requisition ID: 388513 | Work Area: Software-Design and Development | Expected Travel: 0 – 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Job Segment:
Cloud, ERP, Statistics, Computer Science, User Experience, Technology, Data

Company:

SAP

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Italy, Machine Learning, NLP

Company:

SAP

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Italy, Machine Learning, NLP

Company: SAP

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)

Tagged as: Industry, Italy, Machine Learning, NLP

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