Working Student Data Scientist at Bettermile managing dashboards and conducting data analyses. Contributing to building and scaling data platforms in a hybrid work environment.
About the role
- Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross-functional teams to enhance marketing and business outcomes.
Responsibilities
- Design, develop, and deploy predictive and machine learning models to support: Customer lifecycle marketing (acquisition, retention and save) Offer and promotion optimization, Pricing and Forecasting and performance tracking
- Use Python, Spark, and SQL to extract, transform, and analyze large‑scale datasets, ensuring data accuracy, quality, and reproducibility.
- Partner closely with marketing, forecasting, pricing, and strategy teams to translate business requirements into actionable data science solutions.
- Measure and evaluate model performance and business impact, including campaign effectiveness and targeting efficiency.
- Contribute to the continuous improvement of data science methodologies, tools, and analytical processes.
- Communicate analytical findings and recommendations through clear documentation, visualizations, and presentations tailored to diverse audiences.
- Provide technical guidance and informal mentorship to peers through code reviews, modeling discussions, and best‑practice sharing.
- Apply working knowledge of Large Language Models (LLMs) and AI agent concepts to enhance analytics workflows, insight generation, or decision support where appropriate.
- Stay current with advancements in data science, machine learning, marketing science, and applied AI.
Requirements
- Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, with 5+ years of applied data science experience
- Strong hands‑on experience in data science, particularly in marketing analytics, customer analytics, pricing, or forecasting
- Proficiency in Python, Spark, and SQL for data analysis and model development
- Solid understanding of machine learning techniques, including Regression and classification Clustering and segmentation Time series and forecasting methods
- Experience developing and deploying models used in marketing campaigns, offer strategies, pricing analysis, or forecasting
- Strong communication skills and ability to collaborate effectively with cross‑functional partners.
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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