VP, Data Science
4 days ago
Description
• Looking for team members who love solving problems and are motivated by challenges. • Lead a team of skilled data scientists to deliver innovative solutions. • Set strategic direction for the data science function. • Oversee the creation of valuable insights from complex datasets. • Collaborate with cross-functional teams to solve complex challenges. • Recruit and develop a high-performing team of data scientists and machine learning engineers. • Mentor and coach team members to foster growth. • Ensure quality and consistency across products and outputs.
Requirements
• A Ph.D. or Master's degree in a relevant field, such as computer science, statistics, or data science • Strong foundation in statistical modeling, hypothesis testing, and data analysis techniques. • Proficient in machine learning algorithms, including supervised, unsupervised, and reinforcement learning. • Expertise in programming languages like Python, R, or Scala. • Strong understanding of data pipelines, ETL processes, and data platforms. • Experience with cloud computing platforms like AWS, Azure, or GCP. • Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences. • Experience in the data science field, preferably in the Telecom industry. • Proven experience in strategic planning, analysis, and resource allocation. • Ability to develop personal credibility and empathy and to build trustworthy relationships at all levels. • Ability to influence, negotiate, and communicate effectively and outside the organization.
Benefits
• 401(k) matching • Unlimited PTO • Employee Stock Purchase Plan options • Health/dental/vision insurance coverage • Wellness benefits (Calm app, gym reimbursement, ERG groups, etc) • Employee Assistance Programs (EAP) (mental health, financial advice, legal guidance, and more) • Maven Fertility options • Pregnancy support • Pet insurance • Enhanced parental leave • Disability coverage • Best hardware, software, and tools available • Educational opportunities • Anti-racism and LGBTQIA+ resource libraries
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