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Data Scientist, Insights & Analytics

Company: Takeda Pharmaceutical
Location: Cherry Hill
Posted on: June 18, 2022

Job Description:

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job DescriptionOBJECTIVES/PURPOSE :Data Scientists within the Insights & Analytics team of the Applied Data Sciences & Learning organization will be accountable for driving the development of descriptive, predictive & prescriptive analytics to generate insights to solve challenging business problems. Data Scientists will work with multi-disciplinary teams to understand business needs and develop analytic & model outputs that are translatable into actionable business insights. This is a hands-on role, and the successful candidate must be comfortable working in an agile environment and capable of leading delivery at pace.ACCOUNTABILITIES:

  • Collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions.
  • Lead innovation projects through the data, analytics & machine learning lifecycle.
  • Clearly and objectively communicate results, as well as their associated limitations.
  • Apply and maintain methods, techniques and developments in analytics and data science.
  • Mentor and support other data scientists across multiple projects to drive the development of data science as a capability.
  • Develop & review working practices to ensure that data science work is delivered to robust quality standards.CORE ELEMENTS RELATED TO THIS ROLE:
    • 2-6 years of experience in data science in the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.) working with data from varied sources and types (RCTs, RWD, Digital devices, imaging, audio etc.)
    • Expertise in data cleaning, & pre-processing methods to normalize data.
    • Extensive experience with database querying (SQL), manipulating and analyzing large, high dimensional, structured, & unstructured datasets.
    • Experience in code management, version control, cloud computing infrastructure (e.g., AWS).
    • Expertise with programming languages (Python, R, Julia etc.) and visualization tools.
    • Proficiency with unsupervised, supervised, & reinforcement machine learning methods.
    • Expertise in one or several areas of AI (natural language processing, graph theory etc.).
    • Familiarity with deep learning frameworks, such as TensorFlow or PyTorch.
    • Understanding of algorithm design, development, optimization, scaling and application.
    • Excellent written and verbal communication, business analysis, and consultancy skills.DIMENSIONS AND ASPECTS:Technical/Functional (Line) Expertise
      • Comprehensive understanding of the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.).Leadership
        • Demonstrated ability to work across functions, regions and cultures
        • Excellent communicator, able to persuasively convey both ideas and data, verbally and in writing
        • Proven skills as an effective team player who can engender credibility and confidence within and outside the company
        • Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization
        • Invests time in helping others to enhance their skills and perform at a higher levelDecision-making and Autonomy
          • Decision making responsibilities
          • Ability to seek diverse input from multiple constituents and stakeholders to drive innovative solutions
          • Provide input to highly complex decision that impact the functional areaInteraction
            • Cultivates a broad network of relationships throughout Takeda, with affiliates and external partners, in the industry and area of expertise.
            • Ability to build strong relationships and collaborate effectively with other interfacing Takeda functionsInnovation
              • Comfortable challenging the status quo and bringing forward innovative solutions
              • Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business.Complexity
                • Ability to work in a global ecosystem (internal and external)EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:Essential Requirements:
                  • Bachelor's degree in Computer Science, Math, Engineering, or another quantitative field.Desirable:
                    • Masters / PhD. in Computer Science, Math, Engineering, or another quantitative field.In accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy.EEO StatementTakeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Keywords: Takeda Pharmaceutical, Cherry Hill , Data Scientist, Insights & Analytics, Other , Cherry Hill, New Jersey

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