What you'd actually do

Analyze large and small datasets using hypothesis testing (ANOVA, T-test, linear and logistic regression, etc.) and demonstrating knowledge of good experimental design; use machine learning and predictive analytics methods including classification and regression models such as multivariate regression, decision trees and random forests, GLM, SVM, kNN, and neural networks, and ensemble methods; utilize unsupervised learning techniques such as k-means clustering to identify natural segmentation in datasets.

Frequently use data access and analysis tools such as SQL, R, Python, PowerBI, Tableau, SAS, VBA, SPSS, and Excel, and be familiar with analysis packages such as NumPy, Pandas, SciKitLearn, Matplotlib, and SQLite.

Design, maintain, and update interactive online dashboards and demonstrate best practices in data visualization and communication.

Understand how to recognize and utilize geographical variation in business performance data.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Skills

Required

Master’s degree, or foreign equivalent degree in Data Science, Business Analytics, Math, Statistics, Engineering or Physics
3 Years of experience in the job offered or 3Years of experience in a related occupation
building and refining predictive models using traditional statistical methods and modern machine learning techniques
developing big data analytics models using tools including Databricks, Tableau, Palantir, Power BI, and business process integration
quantifying data variances and applying statistical methods within the bigdata space
leveraging programming languages including Python for model development and SQL for database interactions
performing modeling within the Databricks environment
ensuring models are robust, scalable, and applicable
engaging with complex datasets including ADLS, MySQL, Teradata, and Oracle
crafting comprehensive reports, charts, and visual aids to summarize findings and insights
utilizing analytics software, computer programming, data movement tools, and statistics and actuarial modeling

Nice to have

Alteryx
Snowflake
AWS
Azure
R
SAS
VBA
SPSS
Excel
NumPy
Pandas
SciKitLearn
Matplotlib
SQLite
PowerBI
Tableau
Palantir

_JOB LOCATION: _1025 Lenox Park Blvd Ne. Atlanta, GA 30319

_DUTIES: _Interact with data across various sources including relational databases in SQL Server, Alteryx, and cloud-based distributed databases using Databricks and Snowflake, AWS and Azure, as well as various unstructured data; and use sandbox environments to create curated datasets from these sources. Analyze large and small datasets using hypothesis testing (ANOVA, T-test, linear and logistic regression, etc.) and demonstrating knowledge of good experimental design; use machine learning and predictive analytics methods including classification and regression models such as multivariate regression, decision trees and random forests, GLM, SVM, kNN, and neural networks, and ensemble methods; utilize unsupervised learning techniques such as k-means clustering to identify natural segmentation in datasets. Frequently use data access and analysis tools such as SQL, R, Python, PowerBI, Tableau, SAS, VBA, SPSS, and Excel, and be familiar with analysis packages such as NumPy, Pandas, SciKitLearn, Matplotlib, and SQLite. Design, maintain, and update interactive online dashboards and demonstrate best practices in data visualization and communication. Understand how to recognize and utilize geographical variation in business performance data. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

_REQUIREMENTS: _Requires a Master’s degree, or foreign equivalent degree in Data Science, Business Analytics, Math, Statistics, Engineering or Physics and 3 Years of experience in the job offered or 3Years of experience in a related occupation building and refining predictive models using traditional statistical methods and modern machine learning techniques; developing big data analytics models using tools including Databricks, Tableau, Palantir, Power BI, and business process integration; quantifying data variances and applying statistical methods within the bigdata space; leveraging programming languages including Python for model development and SQL for database interactions, and performing modeling within the Databricks environment; ensuring models are robust, scalable, and applicable; engaging with complex datasets including ADLS, MySQL, Teradata, and Oracle; crafting comprehensive reports, charts, and visual aids to summarize findings and insights; and utilizing analytics software, computer programming, data movement tools, and statistics and actuarial modeling.

Our Lead Advanced Analytics roles earn between $153,000 - $192,600 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

Weekly Hours:

Time Type:

Regular

Location:

Atlanta, Georgia

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.