DescriptionJoin the dynamic Workforce Planning organization, highlighting the chance to deliver quantitatively driven solutions and contribute to a team that supports various functions. The Workforce Planning (WFP) organization it is a part of Consumer and Community (CCB) Operations division. The Workforce Planning (WFP) Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support).
As a Senior Data Science Manager in Workforce Planning, you will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making. Projects engaged by the Artificial Intelligence(AI)/Machine Learning(ML) team can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. Typically these problems will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy.
Job responsibilities:
- Define the data science vision, strategy and roadmap for the organization.
- Manage a team of highly-capable and independent sole contributors, along with mentor, coach and grow people earlier in their careers In this role.
- Attract, develop and retain data science talent to ensure the team continues to enhance its value to the company.
- Oversees the design and development of Machine Learning, Artificial Intelligence and Statistical models.
- Ensure the robustness of any data science solution.
- Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
- Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.
Required qualifications, capabilities, and skills:
- Master’s Degree with 5 plus years or Doctorate (PhD) with 3 plus years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
- 4 plus years of direct people management experience.
- Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
- Deep understanding of math and theory behind AI/ML algorithms.
- Proficient in data science programming languages like Python, R or Scala.
- Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
- Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.
Preferred qualifications, capabilities, and skills:
- Advanced expertise with Time Series and Operations Research techniques.
- Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
- Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
- Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.
This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.