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Data Science Partner
Posted on 11/29/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Google Cloud Platform
Management
Microsoft Azure
Python
Requirements
  • Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements
  • Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients
  • Develop and deploy data-driven offerings and accelerators focused on addressing industry-specific challenges
  • Provide leadership and mentorship for teams of data scientists on analytical techniques, and guide the translation of insights into actionable recommendations across multiple projects
  • Excellent communication skills to be able to work with client representatives at all levels
  • Establish and maintain relationships with external data and analytics vendors
  • Preferred Master's degree or PhD in a quantitative discipline (e.g., computer science, applied statistics, mathematics, econometrics, engineering) or equivalent experience
  • 10+ years of technical experience in machine learning and statistics related work
  • 5+ years of experience managing data scientists
  • Demonstrated ability to apply advanced analytical and data science methods to commercial scenarios
  • Extensive programming experience in Python or R
  • Extensive experience designing and deploying machine learning solutions, including experience with leading cloud platforms (AWS, GCP, Azure) and corresponding machine learning services
  • Ability to collaborate with WM team members across the firm (e.g., levels, geographies, practices)
  • Strong presentation and communication skills, including the ability to explain complex technical concepts to non-technical audiences
  • Entrepreneurial spirit and willingness to innovate on new and emerging solutions
  • Legally authorized to work in the United States without limitation
  • Ability to Travel, as required based on client and practice demands (expected to be 10-20%)
Responsibilities
  • Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe (WM) industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings
  • Actively lead innovation activities, often in partnership with industry and functional experts and data engineers, to expand and enhance WM's Analytics solutions and capabilities
  • Develop knowledge of emerging data science techniques; socialize and teach concepts to WM data science community
  • Lead, mentor and grow consultants and actively participate in the career advisory and performance management process
  • Actively participate in recruiting and retaining top quality data scientists
West Monroe

1,001-5,000 employees

Digital management consulting services
Company Overview
West Monroe's mission is to partner with companies in transformative industries to deliver quantifiable financial value. The company functions in multidisciplinary teams that blend management consulting, digital design, and product engineering to move companies from traditional ways of working to digital operating models—and create experiences that transcend the digital and physical worlds.
Benefits
  • Parental leave
  • Medical coverage
  • Flexible PTO
  • 401(k) plan
  • Company stock purchase program
  • Flexible spending accounts
  • Pre-tax transportation benefits
  • Company-provided & supplemental life insurance
  • Perks & discounts program
  • Short-term & long-term disability insurance
  • Pet insurance
  • Travel bonus program
  • LifeLock group rate
Company Core Values
  • Inclusion and diversity
  • People-first
  • Best client service
  • Best and brightest
  • Stewardship
  • Employee-owned
  • Meritocracy
  • Nimble
  • Fun
  • Practical innovation
  • Social responsibility
  • Integrity
  • Quality over growth