TSP Technical CoE- AI/ML Data Scientist
- Hyderabad, Telangana
- Permanent
- Full-time
- Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques
- Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
- Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
- Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
- Engineer features by using their business acumen to find new ways to combine disparate internal and external data sources
- Share their passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
- Collaborate, coach, and learn with a growing team of experienced Data Scientists
- Stay connected with external sources of ideas through conferences and community engagements
- Bachelor's degree required, MS or PhD preferred
- Bachelor's in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
- Must have Python proficiency working with DataFrames
- Must have proficiency writing complex SQL queries
- Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
- Must have proven ability to merge and transform disparate internal & external data sets together to create new features
- Experience with Big Data technologies desired - Spark, Cloud AI platforms, containerization
- Experience with supporting deployment, monitoring, maintenance and enhancement of
- Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
- Bias for action, with ability to deliver outstanding results through task prioritization and time management
- Demonstrated ability to efficiently learn and solve new business domains and problems
- Number sense; healthy skepticism around validity of data and its inherent biases
- Intellectual curiosity to understand and answer questions
- Intellectual humility to leverage the expertise of others
- Exemplary organizational skills with attention to detail & accuracy
- Ability to coach, mentor, and collaborate with business partners, analysts, and team members