Senior Data Scientist
About The Position
The Senior Data Scientist role is pivotal in developing and delivering predictive and inferential models to improve business performance at Zayo. Responsibilities include leading data science and machine learning-based programs and initiatives, managing model life cycles, and mentoring or allocating project work for junior data scientists. This role requires a blend of deep technical expertise in statistical and machine learning models, code development, innovative thinking, and effective communication skills to collaborate with stakeholders across the enterprise. You will play a crucial role in driving data-driven decision-making and innovation, contributing to the organization's success by applying statistics and ML techniques to data assets to solve business problems. Strong analytical, problem-solving, communication, and interpersonal skills are essential for success in this role. This role will have the opportunity to solve a variety of business problems across the enterprise including in Sales and Marketing, Customer Experience and Retention, Network Operations, Security, Product, and Enterprise IT.
Requirements
- Bachelor of Arts/Science with a numerate degree or 8 years of experience in a role with data manipulation.
- Minimum of five (5) years of data science experience or a PhD.
- Intermediate experience with one of SQL and Excel and familiarity with the other.
- Advanced experience with at least one of R, Python, or functional equivalent.
- Demonstrated background in statistical analysis and machine learning.
- Specialization or expertise in a particular facet of Data Science (Time Series models, NLP, Bayesian statistics, Deep Learning, etc.).
- Excellent Interpersonal skills.
- Effective communication of technical work to non-technical audiences.
- Strong attention to detail.
- Ability to interact effectively with all personnel.
- Excellent written and verbal communications skills.
- Autonomous but also comfortable with a team lead role on a project.
- Ability to plan, prioritize and organize effectively and work under pressure deadlines.
Nice To Haves
- A Masters degree and/or certificate from a data science boot camp may substitute for part of this experience.
- Cloud-based computing and shell scripting.
- MLOps Experience.
- Experience on a DS/ML Automation platform like Dataiku.
Responsibilities
- Lead the full model development lifecycle for data science models (ideate, develop, deploy, and maintain).
- Lead Data Science-focused projects with responsibility for planning and allocating work for any junior members on the project.
- Contribute to enterprise data strategy and process improvement efforts with a focus on innovation through data science and machine learning.
- Mentor junior members of the department to help them gain necessary senior skills to advance their careers.
- Work in an Agile framework and provide proactive communication and progress to management & stakeholders.
- Collaborate with internal and external stakeholders to manage project status and any blockers.
- Proactive communication and updates on progress to both management and the organization.
- Partner with business stakeholders to understand business problems and identify solutions for development backlog.
- Help develop and deliver a training curriculum for citizen data scientists across the enterprise.
Benefits
- Excellent Health, Dental & Vision Insurance
- Retirement 401(k) Savings Plan
- Generous paid time off policy including paid parental leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
