Senior Data Science Leader

6 days ago

San Jose, California, United States Verizon Full time
About Verizon:
We power and empower how people live, work, and play by connecting them to what brings them joy. At Verizon, we anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Our V Team is a community of people who are passionate about driving innovation, creativity, and impact in the world.

Job Summary:
This role will drive profitable growth and business innovation by leading data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operational efficiency. You'll work closely with a team of talented data scientists, data and machine learning engineers, and software developers to develop and deliver the next-generation AI/ML solutions to the business.

Key Responsibilities:
  • Leading engagement with key business stakeholders in a discussion on business strategies and opportunities.
  • Building strong working relationships and developing deep partnerships with the business.
  • Leading large portfolios of data science projects and delivering innovative technical solutions to solve problems and improve business outcomes.
  • Leading the design and development of machine learning/statistical models and ensuring best performance.
  • Working closely with engineers to deploy models in production both in real-time and in batch process and systematically tracking model performance.
  • Being a subject matter expert on machine learning and predictive modeling and a mentor to junior data scientists.
  • Driving technical innovation through active research and applications of new theories, techniques, and technologies.

What we're looking for:
You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions.

Requirements:
  • Bachelor's degree or four or more years of work experience.
  • Six or more years of experience in practicing machine learning and data science in business.
  • Solid foundational quantitative knowledge and skills.
  • Experience in leading large-scale data science projects and delivering from end to end.
  • Deep technical expertise in machine learning and statistical modeling.
  • Strong knowledge of tree-based classification and regression techniques such as boosting and random forest.
  • Expert knowledge of ML Python frameworks, packages, and libraries (e.g., pandas, numpy, scikit-learn, pytorch).
  • Strong hands-on programming experience with demonstrated expertise in Python.
  • Strong expertise in SQL programming.
  • Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others.
  • Experience with GCP, AWS, or other cloud computing services.
  • Strong communication and interpersonal influencing skills.
  • Excellent problem-solving and critical-thinking capabilities.

Estimated Salary Range: $124,000 - $231,000 per annum based on a full-time schedule, depending on your location and confirmed job-related skills and experience.

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