Senior Analyst - Data Science

Infosys Limited is seeking Senior Analyst - Data Science. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidate must be located within commuting distance of Richardson, TX or Raleigh, NC or be willing to relocate to the area.
• At least 2 years of experience in Information Technology
• Experience in AI, data engineering, creating data pipelines and processing huge volume of data.
• Experience in Machine learning engineering /MLE, data science and data engineering with a proven track record of delivering impactful solutions
• Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, NLP
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

• Good understanding of Agile software development frameworks
• Strong communication and Analytical skills
• Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
• Experience and desire to work in a global delivery environment

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off