Principal Data Scientist

Job Description:

JOB TITLE: Principal Data Scientist

JOB LOCATION: 300 North Point Parkway, Alpharetta, GA, 30022

DUTIES: Develop Natural Language Processing based machine learning models to analyze various textual data and provide actionable insights. Research and develop several un-supervised machine learning models: Local Outlier Factor, k-means clustering, and Isolation Forests to detect anomalies in different datasets. Build predictive machine learning models to detect outage root cause and estimate time for outage restoral. Analyze utility networks: power, gas, and telecommunications. Utilize programming languages: R, Python, and Java to develop machine learning models. Identify and locate data needed for analysis. Perform data cleansing, data quality assessment, and analytics for data assessments. Work with large volumes of structured and un-structured data using distributed computing tools: Hadoop MapReduce, Spark, and Hive SQL to extract, manipulate and analyze data. Build data pipelines in platforms to create business and model ready datasets: Hadoop, Azure, AWS, and Databricks. Leverage advanced data analysis and visualization techniques using Python and SQL to process and analyze large datasets. Create ad-hoc reports and identify opportunities to leverage company data and drive business solutions.  Construct and architect data models, lead projects, and mentor junior members of the team. Produce data science artifacts and prototypes.

REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Computer Science, Computer Engineering, or Data Analytics and two (2) years of experience in the job offered, or two (2) years of experience in a related occupation building predictive machine learning models to detect outage root cause and estimate time for outage restoral; analyzing utility networks: power, gas, and telecommunications; utilizing programming languages: R, Python, and Java to develop machine learning models; identifying and locating data needed for analysis; performing data cleansing, data quality assessment, and analytics for data assessments; leveraging advanced data analysis and visualization techniques using Python and SQL to process and analyze large datasets; creating ad-hoc reports and identifying opportunities to leverage company data and drive business solutions; and constructing and architecting data models, leading projects, and mentoring junior members of the team.

Our Principal Data Scientists earn between $186,961 - $233,200 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

Joining our team comes with amazing perks and benefits:

· Medical/Dental/Vision coverage

· 401(k) plan

· Tuition reimbursement program

· Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

· Paid Parental Leave

· Paid Caregiver Leave

· Additional sick leave beyond what state and local law require may be available but is unprotected

· Adoption Reimbursement

· Disability Benefits (short term and long term)

· Life and Accidental Death Insurance

· Supplemental benefit programs: critical illness/accident hospital indemnity/group legal

· Employee Assistance Programs (EAP)

· Extensive employee wellness programs

· Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone 

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.