Senior Data Scientist- Boost Mobile

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At Boost Mobile, we deliver value without compromise, continually redefining what’s possible from a mobile carrier for more than nine million customers. As part of our Marketing team, you'll blend innovative advertising, uncompromising integrity and best-in-class storytelling to lend your voice to the future of retail wireless.

Job Duties and Responsibilities

We are seeking a strategic Senior Data Scientist to provide leadership and support in using advanced analytics to provide insights, automate business actions, and improve the speed and quality of decisions across the Retail Wireless business unit at Dish. The ideal candidate will have experience or background in computer and data science, with experience in staffing, developing and managing a group of experts in data processing, data science and computing infrastructure for the extraction of insights. Additionally we are looking for a team player—the ideal candidate understands that we succeed or fail as a team and is ready to step up beyond core responsibilities and go the extra mile for the project and your team.

What you will be doing

• Provide expertise in predictive and prescriptive statistical modeling, including standards and processes to prepare and explore data; design, build, and implement models; and evaluate and report model performance.
• Closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
• Hire, coach and lead the team of data scientist and data analysts
• Develop and implement the group data science strategy. Communicate strategy and analytic results in an actionable and non-technical manner to department leaders
• Establish and document modeling standards and processes, including: identify and define problem, and design approach; prepare, explore, transform, and select data; build, validate, and deploy model; and monitor and evaluate results
• Drive to assisted and predictive decision-making--unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
• Handle complex structured and unstructured data sets from internal and external sources. Create and support models
• Collaborate with Marketing, Finance. Digital and Operations in data management and extraction of insights
• Partner with Digital Business, IT, and external suppliers to ensure the company’s data science needs are met and issue are resolved
• Drive data quality throughout the company

Skills, Experience and Requirements

Qualifications

• Bachelor’s degree (Master’s/Advanced degree preferred) in computer science, engineering, statistics, quantitative psychology, math, economics/econometrics or other quantitative decision sciences
• 7+ years of progressive experience in data science and modeling, including use of structured and unstructured data (preferably in a business setup)
• 3+ years of experience working in a fast-moving B2C company and/or data – analytic supplier (e.g. Nielsen, IRI, or other related companies)
• 3+ years of experience leading team of data scientists and a track record of developing teams to produce successful data science solutions that deliver significant business outcomes/benefit
• Experience managing internal and external resources including remote locations
• Experience with analytics software tools or languages (R, Python, etc.) and machine learning techniques
• Working knowledge in visualization platforms and customization (Power BI, Tableau etc)
• Highly analytical with a strong grasp of modern statistical methods
• Strong interpersonal skills, written / verbal communication skills
• Experience with full lifecycle data science projects

Salary Range

Compensation: $87,500.00/Year - $125,000.00/Year