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Manager, Data Science

Job Title: Manager, Data Science
Contract Type: Permanent
Location: Mumbai
Industry:
Reference: JR-121974
Contact Name: Lalitha Gangadhara
Job Published: November 25, 2021 11:54

Job Description

Equinix is the world’s digital infrastructure company, operating 210 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. Our culture is based on collaboration and the growth and development of our teams. 

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.

Job Summary: Ideal candidate would be a strong Leader with a hacker mindset, artistic, an expert statistician, and a beautiful storyteller.

Responsibilities

  • Accountable for end-to-end data science related project(s)  
  • Conduct requirements workshops with different stakeholders to identify and understand business problem(s)
  • Mentor and lead team of 5+ Data Scientists 
  • Build a roadmap for RPA and ML
  • Collaborate with team to formulate innovative solutions to experiment and implement advanced data science solutions
  • Accountable for product release certification ensuring highest quality and customer experience
  • Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, R, SQL, Spark
  • Identify new risk patterns through data mining
  • Communicate complex concepts and the results of the analyses in a clear and effective manner through creative visualization
  • Responsible for providing comprehensive input to stakeholders to support decision making
  • Proactively communicates issues and risks and escalate conflicts, proposing options for resolution
  • Able to drive effective conflict resolution between stakeholders
  • Manages all stakeholder communications with respect to project and operations status
  • In addition to building effective working relationships with stakeholders, the manager partners with stakeholders to execute against agreed-upon commitments
  • Responsible for managing stakeholder escalations/priority shifts to resolution and/or senior management escalation
  • Drives innovation among the teams, recognizes innovation, and helps communicate new ideas across teams

Qualifications 

  • Masters/bachelor’s degree in Statistics/Applied Math/Operational Research/Computer Science or related field
  • 7+ experience of working experience in software or related industry with Analytics and Data Science
  • 3+ leading and managing teams
  • Experienced in developing machine learning models for real-world problems using R, python or other languages
  • Familiar with cloud data technologies 
  • Able to conceptualize prototypes and evolve them to full fledge solutions
  • Able to articulate the findings and work in a team environment
  • Be a talent multiplier who gets the team around them to excel
  • Be persistent, creative and driven to get results relentlessly
  • Exhibit a strong backbone to challenge the status quo, when needed
  • Show pride of ownership and strive for excellence in everything undertaken
  • Exhibit a high level of curiosity, keeping abreast of the latest trends & technologies

Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disabilities.

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