Infosys is seeking a Data Scientist with Pyspark and AB Testing experience, and you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
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Candidate must be located within the commuting distance of Austin, TX or be willing to relocate to this location.
Basic Qualifications :
- 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.
- At least 4 years of Information Technology experience
- 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
- Proven experience under domain consulting/BI/Analytics experience in one or more of these areas.
- Digital marketing analytics, Web Analytics, Social Media Analytics
- Strong proficiency and hands on experience in A/B Testing, SQL for developing data pipelines
- Ability to analyze data to answer business queries; adept in quick starting optimization options to solve business problems using latest technologies in data mining, data visualization and statistical modeling across the chosen industry and functional area
- Strong knowledge of Python, Advanced SQL and PySpark, visualization tool - Tableau
- Applied experience in exploratory data analysis, devising, deploying, and servicing statistical models
- Able to create Data pipeline to source and transform Data
- Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns)
- Knowledge of Machine Learning techniques
- Knowledge on GenAI, LLM
- Academic background in the areas of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
- Define new business metrics as required and build measurement systems as needed
- Advise clients & internal teams on the right analytical models, analytic platforms, and approaches to take in addressing complex, open-ended business problems
- Excellent communication skills (Written & Verbal)