Logo of Huzzle

Home

Matches

Explore

Manage

Principal Data Scientist (Part-time possible 80-100%)

image

Takeda

2d ago

  • Job
    Full-time
    Expert Level
  • Data
    Research & Development
  • Zürich

AI generated summary

  • You need an advanced degree, experience with AI/ML and big data, proficiency in Python or R, SQL, and big data technologies, plus a drive to improve patient quality of life through data solutions.
  • You will collaborate with business partners, communicate analytics strategies, lead model development, integrate data solutions, and mentor a team while promoting data-driven decision-making.

Requirements

  • An advanced degree is required (Master/MBA and/or PhD), e.g. in sciences (such as computer science), Technology, Engineering, Mathematics.
  • Experience in applying and executing Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning, Machine Learning algorithms, statistics, process mining and stochastic models.
  • Fluency in English
  • A firm grasp of industry, scientific, AI, machine learning and data science trends and market conditions
  • Motivation to develop solutions that enhance the quality of life for patients
  • Ability to interface with international stakeholders and to connect internal and external data analytics experts of both academia and industry
  • Python or R proficiency working with Data Frames
  • Writing complex SQL queries
  • Machine Learning fundamentals
  • Creating new features by merging and transforming disparate internal & external data sets
  • Big Data technologies (e.g., Hadoop, Spark, Dataiku, DataRobot, DataBricks, Cloud AI platforms)
  • Deployment, monitoring, maintenance, and enhancement of models desired
  • Data modeling and data visualization tools.

Responsibilities

  • Collaborate with business partners to develop novel ways to meet objectives utilizing cutting-edge techniques and tools
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners
  • Advocate and educate on the value of data-driven decision making focusing on the “how and why” of solving problems
  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers
  • Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
  • Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods, and standards
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists
  • Stay connected with external sources of ideas through conferences and community engagements
  • Translate data science, artificial intelligence and machine learning trends and technologies into execution

FAQs

What is the job title for this position?

The job title is Principal Data Scientist.

Is this position full-time or part-time?

This position can be part-time or full-time, with a range of 80-100%.

What are the main responsibilities of the Principal Data Scientist?

The Principal Data Scientist will apply expertise in artificial intelligence, collaborate with business partners, develop analytical models, advocate for data-driven decision making, and lead analytic approaches integrating with cross-functional teams.

What qualifications are required for this role?

An advanced degree (Master/MBA and/or PhD) in sciences, Technology, Engineering, or Mathematics is required.

What skills are essential for candidates applying for this position?

Essential skills include proficiency in Python or R, SQL, machine learning fundamentals, feature engineering, and experience with big data technologies like Hadoop and Spark.

Will the Principal Data Scientist collaborate with other teams?

Yes, the Principal Data Scientist will collaborate with data engineers, business leads, analysts, and other departments.

What is the location for this job?

The job is located in Zurich, Switzerland.

Is knowledge of big data technologies necessary for this role?

Yes, familiarity with big data technologies such as Hadoop, Spark, and cloud AI platforms is desired.

What kind of work environment does Takeda promote?

Takeda fosters an inclusive, collaborative workplace and is committed to delivering better health and a brighter future.

Does Takeda value diversity in its workforce?

Yes, Takeda is committed to creating a diverse workforce and provides equal employment opportunities to all employees and applicants.

image

Takeda

Better Health, Brighter Future

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

We strive to transform lives. While the science we advance is constantly evolving, our core purpose is enduring. For more than two centuries, our values have guided us to do what’s right for patients and for society. We know that changing lives requires us to do things differently. We start by listening to and addressing what really matters to patients, the people who love them, and those in the healthcare system who provide care. And that’s what inspires us all to be bold, push boundaries and set new standards that open up greater opportunities.