AT&T PRINCIPAL, APPLIED MATH & STATS in Mumbai, India
Overall Purpose: The Data Scientist will be responsible for designing and implementing processes and layouts for complex, large- scale data sets used for modeling, data mining, and research purposes.
Key Roles and Responsibilities: This position will work closely with the IT, Sales and Marketing organizations functional leads to formulate hypothetical insights and work through the lifecycle of delivering these insights to production. Design and build large and complex data sets, from spurious sources while thinking strategically about uses of data and how data use interacts with data design. Design and implement statistical data quality procedures around new data sources. Perform data studies and data discovery around new data sources or new uses for existing data sources. Implement any software required for accessing and handling data appropriately. Implement and hand off data checking and updating procedures to teams. Perform statistical analyses with existing data sets in statistical packages. Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization. Research and implement software and hardware related to mobile technology. Job Contribution: Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies.
Education: Preferred Bachelors of Science in Computer Science, Math or Scientific Computing; Data Scientist or Machine Learning nanodegree; or equivalent experience.
Experience: Typically requires 8-10 years experience or PhD or Masters in an approved field with no minimum years of relevant experience.
Specific Skill Set requires: Data Science Experience 3-5 Yrs; Jupyter 3-5Yrs, Data Modeling 3-5Yrs; SQL and one or more of (MySQL, T-SQL or PL/SQL) 1-3 yrs, Hive 1-3Yrs, HDFS 1-3Yrs. Data Science / Machine Learning certification(s) preferred.
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status.