Applied Data Scientist/ ML Engineer (Python/SQL)

As an Applied Data Scientist/ML Engineer at SAP, you will be responsible for developing and implementing cutting-edge data science and machine learning solutions using Python and SQL. You will collaborate with cross-functional teams to identify business needs and develop data-driven solutions. Your role will involve conducting thorough research and analysis to identify new opportunities for data-driven solutions. Utilizing statistical and predictive modeling techniques, you will extract insights to support decision-making processes. Additionally, you will develop and maintain data pipelines and infrastructure to support machine learning algorithms. Key Responsibilities: - Develop and implement data science and machine learning solutions using Python and SQL. - Collaborate with cross-functional teams to identify business needs and develop data-driven solutions. - Conduct research and analysis to identify new opportunities for data-driven solutions. - Utilize statistical and predictive modeling techniques to extract insights and support decision making. - Develop and maintain data pipelines and infrastructure to support machine learning algorithms. - Monitor and evaluate the performance of machine learning models, making necessary improvements. - Communicate complex technical concepts and findings to non-technical stakeholders. - Stay updated with industry trends and advancements in data science and machine learning. - Participate in team meetings, contribute ideas to improve processes, and collaborate with other data scientists and engineers to drive innovation. - Meet project deadlines and deliver high-quality work within a fast-paced environment. - Adhere to companys data privacy and security policies. - Provide technical support and assistance to team members as needed. - Contribute to the development and maintenance of internal data science tools and platforms. Qualifications Required: - Strong expertise in Python and SQL. - Background in data science and machine learning. - Passion for innovation and making a difference. - Ability to thrive in a fast-paced and collaborative environment. SAP is an Equal Opportunity Employer, celebrating diversity and fostering an inclusive environment for all employees. Discrimination based on various legally protected characteristics is not tolerated. As an Applied Data Scientist/ML Engineer at SAP, you will be responsible for developing and implementing cutting-edge data science and machine learning solutions using Python and SQL. You will collaborate with cross-functional teams to identify business needs and develop data-driven solutions. Your role will involve conducting thorough research and analysis to identify new opportunities for data-driven solutions. Utilizing statistical and predictive modeling techniques, you will extract insights to support decision-making processes. Additionally, you will develop and maintain data pipelines and infrastructure to support machine learning algorithms. Key Responsibilities: - Develop and implement data science and machine learning solutions using Python and SQL. - Collaborate with cross-functional teams to identify business needs and develop data-driven solutions. - Conduct research and analysis to identify new opportunities for data-driven solutions. - Utilize statistical and predictive modeling techniques to extract insights and support decision making. - Develop and maintain data pipelines and infrastructure to support machine learning algorithms. - Monitor and evaluate the performance of machine learning models, making necessary improvements. - Communicate complex technical concepts and findings to non-technical stakeholders. - Stay updated with industry trends and advancements in data science and machine learning. - Participate in team meetings, contribute ideas to improve processes, and collaborate with other data scientists and engineers to drive innovation. - Meet project deadlines and deliver high-quality work within a fast-paced environment. - Adhere to companys data privacy and security policies. - Provide technical support and assistance to team members as needed. - Contribute to the development and maintenance of internal data science tools and platforms. Qualifications Required: - Strong expertise in Python and SQL. - Background in data science and machine learning. - Passion for innovation and making a difference. - Ability to thrive in a fast-paced and collaborative environment. SAP is an Equal Opportunity Employer, celebrating diversity and fostering an inclusive environment for all employees. Discrimination based on various legally protected characteristics is not tolerated.