Director, Data Science & Analytics - Remote

Key Skills

Agile methodologies, Analytical and Problem solving, Data Modeling, Data science techniques, Design, DevOps, Java Programming, Leadership, Machine learning techniques, Mathematics, MLOps tools, Python Programming, R Programming, RESTful, SQL, Statistics

Job Description

Lumen is guided by our belief that humanity is at its best when technology advances the way we live and work. With 450,000 route fiber miles serving customers in more than 60 countries, we deliver the fastest, most secure global platform for applications and data to help businesses, government and communities deliver amazing experiences. Learn more about Lumen’s network, edge cloud, security and communication and collaboration solutions and our purpose to further human progress through technology at news.

The Role

The world is going digital, at Lumen we are covering the last mile of this digital journey. Our Cloud organization was born in a new digital world, a world where infrastructure and datacenters become services available on demand. Our mission is to deliver on demand IT services to our customers without compromising the dedicated and caring experience that comes from working with Lumen.

Going digital requires transforming the way we communicate with our customers and enabling them through beautiful user interfaces and seamless one touch experiences. Data science and analytics organization ensures Lumen success by making possible to build data driven strategies and solutions.

Being part of the Pricing & Marketing Machine Learning team (CMO) provides a unique opportunity to grow. We work on small teams that collaborate across the organization to fulfil their information needs. As a result, the exposure to this broad set of problems provides diverse technical challenges as well as accelerated career growth.

As the leader of the data science function, the opportunities are matched by equal challenges to educate, guide and provide support through the digital transformation of Lumen. Your mission is to lead the organization transforming data into valuable business information and building, managing data science models that automate analytical decisions.

The Main Responsibilities

• Work w/ the software development team members, program stakeholders and leaders to translate business objectives into quality ML products
• Participate in the program management process (Agile/Safe) and help shape priorities, define requirements
• Contribute to ROI measurement, business cases and manage allocation of resources
• Communicate well, partner with other departments and senior stakeholders
• Advance the effective and high-value application vision of data science in Lumen
• Facilitate engineering and systems design and improvement
• Retain, develop and attract exceptional technical talent, contribute to a self-organizing, agile culture
• Review data science code, assure quality of ML products and dissemination/use in an impactful way for the business
• Define best practices, optimal processes and effective communication protocols.

What We Look For in a Candidate

Required

• Demonstrated team building and leadership skills and being able to bring people together, hire, develop and motivate staff members.
• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, process or application owners, sellers & commercial teams, engineers and business leaders.
• Fluent in data fundamentals: Python, R, SQL, statistics, experimentation, and modeling.
• Familiarity with the integration of data / models into operational corporate workflows via RESTful API's
• Excellent presentation skills - ability to distill and present actionable information from complex research or analysis for lay audiences
• Strong problem solving and critical thinking skills.
• 10+ managing projects of all sizes and complexities.
• 5+ architecting analytics solutions.

Additional Qualifications

Preferred

• Successfully managed remote direct reports and worked with distributed teams.
• 10+ years working leading quantitative/technical projects and professionals
• 5+ years managing high-performing engineering teams.
• Managed a 10+ person team
• 15+ years of overall experience in large corporate environments
• Masters+ in Natural Science, Statistics, Economics, Mathematics or another highly quantitative field
• Significant applied knowledge of DevOps, MLOps processes in an open-source environment

When applying for a position, you may be subject to a background screen (criminal records check, motor vehicle report, and/or drug screen), depending on the requirements for the position. Job-related concerns noted in the background screen may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.