Data Scientist

Overall Purpose Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision‑making and optimizing business performance. The Lead Advanced Analytics role is responsible for designing, developing, and maintaining advanced analytics and reporting and data solutions that support Compensation. This individual will play a critical role in building scalable data and automation solutions, ensuring data accuracy, and delivering actionable insights to business stakeholders. This role supports the end-to-end Quota Tool process on the Consumer Technology Team for Sales Compensation, Automation & Analytics. Having a strong background in Agile development is a must in continuing to create a culture of being fast, accountable and results oriented. Having vast knowledge in our applications that serve as our Commission, Hierarchy, Billers, and Point of sale systems will be a value add for our processes and tools. Key Roles and Responsibilities Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well‑versed with relational (Ex‑ SQL Server, Oracle) and/or data warehouse data storage (Ex‑ Snowflake or Databricks Delta Lake). Data sources including but not limited to internal and external sources, datalakes, data warehouses such as eCDW, BIDW, etc. Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and use traditional modeling techniques to support decision‑making. Most common tools are Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc. Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex‑ Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verify their accuracy in real‑world scenarios (Ex‑ Linear/Logistic Regression, Time Series). Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes. Job Contribution An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in‑depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long‑term plans impacting the organization, and frequently collaborates with senior leadership. Supervisor: No TCP Career Step Differentiator Performs very complex advanced analytics work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc. Education and Experience Bachelor’s degree (BS/BA) desired from an accredited university in a quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 5+ years of related experience. Certification is required in some areas. This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Our Lead Advanced Analytics jobs earn between $128,400.00 - $215,800.00 USD annually. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. 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: 40 Time Type: Regular Location: Alpharetta, Georgia, Dallas, Texas Salary Range: $128,400.00 - $215,800.00 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. #J-18808-Ljbffr