
Manager/Sr. Manager - Data Science Consulting (Semi Conductors Domain)
- Santa Clara, CA
- Permanent
- Full-time
- Work on the latest applications of data science to solve business problems
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights
- Ability to break down a project into specific tasks involving business analysis, data science and engineering
- Direct teams of business analysts to create data-driven solutions
- Architect data analytics frameworks and solutions to solve data-driven business problems
- Use Data Science, Machine Learning, Artificial Intelligence, and Operational Research techniques to develop data models
- Extract, transform and organize the data into datasets using tools like SQL
- Validate the model solutions' results by developing testing frameworks using Hadoop, Python, and other relevant tools.
- Report the results and insights using business intelligence tools.
- Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions.
- Being able to communicate with and manage expectations across stakeholders effectively.
- Excellent written and verbal communication skills, including the ability to develop and deliver a presentation.
- Familiarity with agile development methodology.
- 8-10 years of Data Science experience with at least 5 years in analytics consulting.
- Experience working with large data sets is preferable (with an emphasis on business analysis problems).
- Work experience in areas such as Supply chain planning and operations, preferably from the semiconductor industry.
- Experience of working with offshore teams.
- Demonstrated technical and analytical skill set to work with analytics toolkits such as:
- R, Python, SQL, Git, SAS, Tableau, Alteryx
- Spark, Amazon Web Services (AWS)
- Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into a high-level analytics solution approach.
- Strong project management and team management skills, and the ability to work with global teams.
- Knowledge of statistical and machine learning algorithms.
- Will have to travel to the office 5 days a week.
- Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.