Statistical Analysis

As an Advisor, Statistical Analysis at Fiserv, you will utilize your expertise in Computer Science, Data Science, Statistics, Mathematics, or related fields to drive impactful insights. Your responsibilities will involve leveraging your proficiency in Python, SQL, and data science libraries such as pandas, scikit-learn, TensorFlow, and PyTorch to analyze and interpret data effectively. To excel in this role, you should have hands-on experience with big data technologies like Spark, Hadoop, as well as cloud platforms including AWS, GCP, and Azure. Your strong problem-solving skills will be crucial in tackling complex challenges, and your ability to thrive in a dynamic and collaborative work environment will contribute to the success of our team. If you are a forward-thinker with a passion for innovation, and are seeking a rewarding career where you can make a difference, Fiserv is the place for you. Join us in shaping the future of financial technology and unlock your full potential. To apply for this position, please submit your application using your legal name. Complete the step-by-step profile and attach your resume to be considered for this exciting opportunity. We appreciate your interest in becoming part of the Fiserv team. At Fiserv, we are committed to fostering an inclusive and diverse workplace where every individual is valued and respected. We believe that diversity drives innovation and we embrace the unique perspectives and experiences of our employees. Please note that Fiserv does not accept resume submissions from agencies without existing agreements. Kindly refrain from sending resumes to Fiserv associates as we are not liable for any fees related to unsolicited submissions. We also caution applicants to be vigilant against fake job posts that are not affiliated with Fiserv. These fraudulent postings may be used by cybercriminals to obtain personal information or financial data. Any communication from a Fiserv representative will be from a legitimate Fiserv email address to ensure transparency and security throughout the hiring process.,