What are the responsibilities and job description for the Material Qualification Data Scientist Intern position at Sunrise Systems, Inc.?
Job Title : Material Qualification Data Scientist Intern
Job ID : 25-06490
Location : Cambridge, MA, 02142
Duration : 06 months on W2 Contract
ACCOUNTABILITIES
Responsible for introducing and / or developing data science tools to streamline global material implementations.
Engage with different internal stakeholders to identify, and prioritize, relevant data science tools that deliver efficiency improvements to the material implementation process.
Support Material Qualification strategic projects.
Use data-driven decision-making processes to enable timely and objective recommendations for continuation, acceleration, and prioritization of global material implementations.
Use agile principles to reduce process complexity and increase organizational capacity
DIMENSIONS AND ASPECTS
Technical / Functional (Line) Expertise (Breadth and depth of knowledge, application and complexity of technical knowledge)
Strong ability to analyze unstructured problems, identify root causes and align team objectives to drive material implementations
Strong knowledge of programming languages such as C , R, and Python
Understanding of project sprint methodologies
Experience capturing and translating strategic / business requirements into technical solutions
Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change)
Experience with projects in a matrix environment
Ability to share their vision and engage team member to reach a common goal
A firm grasp of cross-functional group alignment approaches
Decision-making and Autonomy (The capacity and authority to make organizational decisions, autonomy in decision-making, complexity of decisions, impact of decisions, problem-solving)
Full accountability for identifying and / or developing data science tools that can be integrated within Takeda's material implementation process operating model
Work with line management to enable decisions and contribute to gaining alignment for changes outside approved scope
Interaction (The span and nature of one's engagement with others when performing one's job, internal and external relationships)
Strong interpersonal and active problem-solving skills
Partners with material implementation teams to identify the team needs (team members are from the areas of quality, procurement, process experts, product experts, device experts, and regulatory affairs)
Works across functional area boundaries and manufacturing sites, when needed, to bring in additional resources and alignment
Works independently for alignment on data science development approach while escalating to line manager for issues cutting across multiple sites or functional areas
Innovation (The required level of scientific knowledge, knowledge sharing, innovation and risk taking)
Scout for off-the-shelf solutions to speed Material Qualification data science efforts
Develop in-house tool(s) that can be deployed at enterprise-scale for maximum value capture
Complexity (Products managed, mix of businesses, internal and / or external business environment, cultural considerations)
Demonstrate initiative, sound judgment and flexibility of thought
Possess effective time management and organizational skills
Be able to work with competing deadlines and on multiple projects simultaneously
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS :
Education / experience
Enrolled in data science, computer science, or STEM degree program (Bachelor of Science).
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