Senior Data Scientist II

Summary

We are seeking a highly accomplished and experienced Senior Data Scientist II to lead the technical development and implementation of complex machine learning (ML) solutions. This individual will be a key contributor driving innovation and shaping the future of our data science initiatives. The ideal candidate will possess exceptional technical skills strong leadership abilities and a deep understanding of business operations.

Key Responsibilities

• Lead the entire lifecycle of data science projects from initial conception and design to deployment and maintenance in production environments.
• Develop and implement advanced ML architectures for complex models ensuring scalability performance and robustness.
• Collaborate with business stakeholders to gain a thorough understanding of operational processes identify key challenges and translate business needs into data-driven solutions.
• Guide and direct interaction with product teams to influence product design ensuring alignment between business objectives and technical feasibility.
• Employ a production-first approach conducting thorough feasibility studies and prototyping to evaluate project viability considering performance time quality and cost.
• Introduce and champion innovative ML techniques processes and products within the organization.
• Mentor and guide junior and senior data scientists fostering a collaborative and high-performing team environment.
• Proactively identify and address potential challenges and risks throughout the project lifecycle.
• Stay abreast of the latest advancements in the field of machine learning and proactively identify opportunities for innovation and improvement.
• Contribute to the development and refinement of data science best practices and methodologies.

Critical Qualifications

• Bachelors degree in Computer Science Statistics Mathematics Data Science or a related field. Relevant experience may be considered in lieu of a degree.
• 6 years of experience in a data science or analytics role with a significant portion dedicated to leading complex projects.
• Advanced knowledge of ML models: NLP Gen AI and deep learning frameworks (e.g. scikit-learn TensorFlow PyTorch).
• Demonstrated experience with data mining techniques and machine learning algorithms (e.g. regression classification clustering).
• Demonstrated ability to design and implement complex ML architectures.
• Strong experience with data visualization tools (preferably Microstrategy or Tableau Power BI).
• Advanced cloud/ML engineering certification (preferably Google Cloud Professional Data Engineer / Machine Learning Engineer or AWS Certified Solutions Architect Professional Azure Solutions Architect Expert).
• Advanced understanding of business operations needs and pain points with the ability to translate business requirements into technical specifications.
• Exceptional proficiency in developing training and deploying ML models in production environments.
• Proficiency in at least one scripting language (Python preferred).
• Excellent communication leadership and interpersonal skills.
• Proven ability to lead and motivate teams to achieve ambitious goals.
• Demonstrated ability to manage multiple projects simultaneously and meet deadlines.
• Strong problem-solving skills and a proactive approach to identifying and resolving challenges.

Preferred Qualifications

• Experience with telecom industry
• Experience with customer retention and segmentation
• Experience with Google Cloud Platform (GCP)