JOB LOCATION: 2260 E. Imperial Hwy, El Segundo, CA 90245 [Hybrid position]
DUTIES: Build and refine predictive models using traditional statistical methods and modern machine learning techniques. Gather, analyze, and interpret data from disparate sources. Develop big data analytics models using tools including Tableau, Palantir, Power BI, and business process integration. Quantify data variances and apply statistical methods within the big data space. Use traditional modeling techniques to build models with trend analysis and statistical analysis using data to explain and predict behavior, build business cases, and provide insights and solutions. Leverage programming languages including Python for model development and SQL for database interactions. Ensure models are robust, scalable, and applicable. Engage with complex datasets including ADLS, MySQL, Teradata, and Oracle. Craft comprehensive reports, charts, and visual aids to summarize findings and insights. Consult and recommend directions to business partners and provide insights into patterns and relationships in data. Utilize analytics software, computer programming, data movement tools, and statistics and actuarial modeling. Complete business assessments. Apply advanced knowledge of data architecture, data science, graphic visualization, and informatics and information sciences.
REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Computer Science, Data Science, or Business Analytics and two (2) years of experience in the job offered, or two (2) years 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 Tableau, Palantir, Power BI, and business process integration; quantifying data variances and applying statistical methods within the big data space;
leveraging programming languages including Python for model development and SQL for database interactions; 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 earn between $150,107 - $196,100 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:
40Time Type:
RegularLocation:
El Segundo, CaliforniaIt 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.
Skills Required
- Master's degree in Computer Science, Data Science, or Business Analytics (or foreign equivalent)
- Two years of experience building and refining predictive models using statistical methods and machine learning
- Experience developing big data analytics models and applying statistical methods in big data contexts
- Proficiency with Tableau, Palantir, and Power BI for visualization and analytics
- Programming experience in Python for model development
- Experience with SQL and database interactions
- Experience working with ADLS, MySQL, Teradata, and Oracle or similar data platforms
- Experience creating comprehensive reports, charts, and visualizations to summarize findings
- Familiarity with data movement tools, analytics software, and statistics or actuarial modeling
AT&T Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AT&T and has not been reviewed or approved by AT&T.
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Healthcare Strength — Health coverage spans medical, dental, vision, and mental health services, plus a personal healthcare team, wellness apps, and supplemental options such as fertility care, cancer support, doula services, and wigs for chemotherapy. These comprehensive offerings are portrayed as supporting a wide range of employee needs.
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Leave & Time Off Breadth — Paid time off includes vacation, holidays, sick days, caregiver time, parental leave, and adoption assistance, with some roles reaching about 23 days of PTO after several years. Community volunteer days and flexible time off options add further support for work-life balance.
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Wellbeing & Lifestyle Benefits — Employees receive sizable service discounts like 50% off most wireless plans and broadband, along with savings on travel, event tickets, and insurance. Additional workplace perks such as hybrid work models and relocation assistance contribute to overall value.
AT&T Insights
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