Senior Data Scientist
TakedaAbout the role
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 Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Senior Data Scientist in our Cambridge, MA location.
Takeda is looking for a Senior Data Scientist to join our Advanced Analytics and Digital Engineering team in Takeda Vaccines. We are looking for a Senior Data Scientist who can use their Machine Learning, Deep Learning, Data Wrangling and Presentation skills to help deliver insights for our most difficult questions. You will work with the rest of the team to enable Takeda to continue its journey of data maturity, delivering outputs while educating others. You will be helping to solve some of the biggest question at Takeda and for healthcare in general.
At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Here, you will be a vital contributor to our inspiring, bold mission.
POSITION OBJECTIVES:
Independently perform complex analysis using modern Data Science techniques against structured or unstructured data and report results back to generate insights to Takeda.
Provides leadership and expertise in data analysis, methods and accuracy for data science studies and deployments. This leadership is not just for this team but as a subject matter expert for others working on data as well. This will include areas like Vaccines, Research and Development, Manufacturing, Medical and Commercial.
Apply machine learning, deep learning, computer vision and other advanced techniques while performing Data Analysis engagements. This is against structured and un-structured data sets, at small and large scale.
Provide mentorship and leadership to other Data Scientists, Data Engineers and Data Specialists across Vaccines at Takeda as we elevate our data IQ across the organization.
Deliver critical analysis against Takeda’s toughest data problems to give us critical insight to the organization’s largest questions.
POSITION ACCOUNTABILITIES:
Perform machine learning, deep learning, and other advanced data techniques at a level of quality that can be defended by peers at a PHD level across the organizations. As a senior role, the quality of this work will also need to be ready to presentations at the highest levels of Takeda Leadership.
Introduce novel and state-of-the-art computational techniques to other teams and scientists to improve capabilities for data analysis with the purpose of deriving high accuracy insight from available datasets more efficiently.
Understanding and usage of different Supervised and Unsupervised learning techniques, their biases, how and when to apply them and which methods are the best for a particular analysis.
Ability to wrangle raw data sets into a format that can have advanced methods applied against the resulting data.
Work on tough problems independently to bring insights to very difficult questions using advanced technical methods. As a senior member, you will also need to guide more junior resources through their difficult problems as well.
Works on toughest probl
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s