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Manager, Analytics

๐Ÿ”ฅ 6 hours ago
Data ScienceCustomer AnalyticsPythonAgile Project Management

๐Ÿ“œ Description

  • Manage client data science and advanced analytics engagements with a focus on delivery.
  • Collaborate with Analytics, Client Service, and channel delivery teams to develop media optimization opportunities.
  • Build internal and external timelines and project plans using Agile Project Management.
  • Lead the gathering of user stories and development of analytical tools.
  • Drive team-wide learning initiatives and research into statistical methodologies.

๐Ÿ› ๏ธ Requirements

  • Bachelor's and/or Master's degree in Computer Science, Mathematics, Data Science, or a relevant quantitative field.
  • 8+ years of hands-on experience in Data Science, with at least 2 years in customer analytics or digital media.
  • Strong foundation in Python or R, with knowledge of relevant libraries.
  • Functional proficiency with Git and familiarity with relational databases and cloud services.
  • Understanding of econometric and statistical frameworks such as Linear Regression and Decision Trees.
  • Ability to mentor a team and translate complex processes into client-friendly terms.
  • Strong communication and presentation skills.

โœจ Benefits

  • Medical
  • Vision
  • Dental insurance
  • Life insurance.
  • Short-term and long-term disability insurance.
  • Flexible paid time off.
  • At least 15 paid holidays per year.
  • Paid sick and safe leave.
  • Paid parental leave.
Full job description

Lead and manage customer analysis deep dives, execute strategies from senior leadership, and oversee day-to-day client communications.

Description

  • Manage client data science and advanced analytics engagements with a focus on delivery.
  • Collaborate with Analytics, Client Service, and channel delivery teams to develop media optimization opportunities.
  • Build internal and external timelines and project plans using Agile Project Management.
  • Lead the gathering of user stories and development of analytical tools.
  • Drive team-wide learning initiatives and research into statistical methodologies.

Requirements

  • Bachelor's and/or Master's degree in Computer Science, Mathematics, Data Science, or a relevant quantitative field.
  • 8+ years of hands-on experience in Data Science, with at least 2 years in customer analytics or digital media.
  • Strong foundation in Python or R, with knowledge of relevant libraries.
  • Functional proficiency with Git and familiarity with relational databases and cloud services.
  • Understanding of econometric and statistical frameworks such as Linear Regression and Decision Trees.
  • Ability to mentor a team and translate complex processes into client-friendly terms.
  • Strong communication and presentation skills.

Benefits

  • Medical
  • Vision
  • Dental insurance
  • Life insurance.
  • Short-term and long-term disability insurance.
  • Flexible paid time off.
  • At least 15 paid holidays per year.
  • Paid sick and safe leave.
  • Paid parental leave.
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