Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
About the role
- Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
Responsibilities
- Provide technical leadership for the data science team, guiding junior and mid-level data scientists through best practices in experimentation, modeling, analytics, and data storytelling.
- Identify, analyze, and deliver high-impact insights for ESPN personalization—including user behavior trends, recommendation system performance, and content engagement patterns—to influence product decisions.
- Design and analyze large-scale A/B and multivariate experiments using rigorous statistical methods, power analysis, variance reduction techniques, and causal inference frameworks.
- Lead the design of automated dashboards, visualizations, and decision-support tools, while partnering with Data Engineering to build durable, production-ready data pipelines and science workflows.
- Own end-to-end delivery of complex data science initiatives by collaborating with Product, Engineering, Content Programming, and Executive stakeholders, translating technical findings into actionable recommendations.
Requirements
- 7+ years of experience in Data Science, Machine Learning, Statistics, or a related field
- Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field or equivalent industry experience
- Proven track record of delivering high-quality experimentation analyses and actionable insights that influenced product strategy
- Deep expertise in statistical testing, causal inference, and experiment design (A/B testing, power analysis, sequential testing, etc.)
- Strong proficiency in Python, SQL, and modern ML/statistics libraries (pandas, scikit-learn, PyTorch/TensorFlow optional)
- Experience working with large-scale datasets in distributed computing environments (Spark, Databricks, Snowflake, etc.)
- Strong familiarity with data engineering best practices and building durable data science assets on top of production-grade data
- Demonstrated success with dashboarding tools (Tableau, Looker, Mode) and crafting data stories for a variety of stakeholders
- Experience applying automation and AI-driven tools to streamline workflows, improve standardization, and optimize productivity
- Exceptional communication skills, especially in translating technical analyses into compelling stories for product managers and executives
- Ability to lead projects with high ambiguity and cross-functional complexity.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical benefits
- Financial benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
Data Scientist developing predictive models and automation workflows for the mortgage lifecycle. Collaborating with cross - functional teams to enhance operational efficiency and customer outcomes.
Data Scientist developing machine learning models and analytics solutions to improve decisions in the mortgage lifecycle from acquisition to servicing. Collaborating with teams on predictive modeling and automation workflows.
Senior Manager in Data Science and Analytics leading statistical modeling for mortgage and consumer lending. Collaborating with teams to deliver data - driven insights and improve operational efficiency.
AR
Internship for AI in document processing at ArianeGroup, focusing on natural language processing and data analysis tasks in a collaborative environment.
Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.
Data Scientist specializing in AI and LLM technologies at F5, innovating security platforms through AI/ML development and collaboration.
Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.