Data Science Analyst (Senior)

Job Description You have a great opportunity to join a dynamic team at Infogain, a human-centered digital platform and software engineering company based out of Silicon Valley. Infogain engineers business outcomes for Fortune 500 companies and digital natives in various industries using cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence. As a Data Scientist with 6+ years of experience, your role will be pivotal in driving experience-led transformation in the delivery of digital platforms. **Role Overview:** As a Data Scientist at Infogain, you will leverage your expertise in Data Science, Machine Learning, Data Analytics, Python, and Pyspark to deliver innovative solutions. Your role will involve collaborating with cross-functional teams and utilizing your strong communication skills to effectively communicate with business stakeholders in their language. Additionally, experience in Gen AI and Deep Learning will be highly beneficial. **Key Responsibilities:** - Utilize your 6+ years of experience in Data Science, Machine Learning, Data Analytics, Python, and Pyspark to develop advanced solutions - Collaborate with teams to effectively communicate complex technical concepts in a business-friendly manner - Leverage your expertise in Gen AI and Deep Learning to drive innovative projects **Qualifications Required:** - 6-8 years of experience in Data Science - Proficiency in Python, Data Modeling, AI/ML Development, Deep Learning, and GenAI Prompt Analytics - Strong communication skills with the ability to communicate effectively with business stakeholders Infogain, as a Microsoft Gold Partner and Azure Expert Managed Services Provider, is at the forefront of digital transformation. With offices in multiple locations globally, Infogain offers a diverse and collaborative work environment where you can make a significant impact in the digital space. Join Infogain and be a part of a team that accelerates experience-led transformation for leading companies across various industries. You have a great opportunity to join a dynamic team at Infogain, a human-centered digital platform and software engineering company based out of Silicon Valley. Infogain engineers business outcomes for Fortune 500 companies and digital natives in various industries using cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence. As a Data Scientist with 6+ years of experience, your role will be pivotal in driving experience-led transformation in the delivery of digital platforms. **Role Overview:** As a Data Scientist at Infogain, you will leverage your expertise in Data Science, Machine Learning, Data Analytics, Python, and Pyspark to deliver innovative solutions. Your role will involve collaborating with cross-functional teams and utilizing your strong communication skills to effectively communicate with business stakeholders in their language. Additionally, experience in Gen AI and Deep Learning will be highly beneficial. **Key Responsibilities:** - Utilize your 6+ years of experience in Data Science, Machine Learning, Data Analytics, Python, and Pyspark to develop advanced solutions - Collaborate with teams to effectively communicate complex technical concepts in a business-friendly manner - Leverage your expertise in Gen AI and Deep Learning to drive innovative projects **Qualifications Required:** - 6-8 years of experience in Data Science - Proficiency in Python, Data Modeling, AI/ML Development, Deep Learning, and GenAI Prompt Analytics - Strong communication skills with the ability to communicate effectively with business stakeholders Infogain, as a Microsoft Gold Partner and Azure Expert Managed Services Provider, is at the forefront of digital transformation. With offices in multiple locations globally, Infogain offers a diverse and collaborative work environment where you can make a significant impact in the digital space. Join Infogain and be a part of a team that accelerates experience-led transformation for leading companies across various industries.