Data Scientist

Firma:

Cytiva

Typ: design
Poziom: regular
Odświeżono: tydzień temu

lokalizacja

Miasto: Kraków

formalności

Typ umowy: umowa o pracę

projekty

Wykorzystywane technologie/narzędzia:
Główne: R, Python, SQL

praca

Elastyczne godziny pracy: tak
Okazjonalna praca zdalna: tak

Wymagane technologie /narzędzia

Oczekiwane:
R
Python
SQL

inne wymagania

Doświadczenie: 3+
Język obcy: angielski
Poziom: Wykorzystanie w pracy:
Zastosowanie: czytanie dokumentacji, kontakt z klientem, zespół międzynarodowy,

Profity dla pracowników

Medical care (Medicover)
Life insurance (Generali)
Multisport card
MyBenefit platform (Cafeteria)
Parking
Home office / remote work possibility
Flexible working hours
Language courses
Chill room
100% payable sick leave (L4) for 33 days per year
Employee Pension Plans / Pracownicze Plany Emerytalne (PPE)
Co-financing for glasses/contact lenses (600PLN once 3 years)

Be part of something altogether life-changing

Working at Cytiva in the Life Sciences industry means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40 countries, Cytiva is a place where every day is a learning opportunity – so you can grow your career and expand your skills in the long term.

Cytiva is proud to work alongside a community of nine fellow Danaher Life Sciences companies. Together, we’re pioneering the future of science and medicine, developing products that enable researchers in the fight to save lives.

We are looking for a Data Scientist to work with our expert Data and Analytics team of 15 employees across the world. Do you have a passion for data analytics and data science? Then we would love to hear from you.

What you’ll do

  • Business requirements analysis.

  • Technical assessment of Data availability and quality from multiple data sources types that include Oracle EBS, Salesforce, Snowflake.

  • Develop Data Science and Analytics models and applications.

  • Drive Data Science and modelling best practices in organization.

  • Work in agile environment with multiple business functions.

Who you are

  • Degree in Information Systems, Computer Science or related technical discipline or equivalent.

  • Prior experience with Python, R , SageMaker.

  • Excellent written and verbal communication skills.

  • Analytic, creative and business focused problem solver.

  • Ability to execute multiple projects simultaneously.

  • Ability to explain issues and resolutions to technical and non-technical staff.

  • Prior experience with Robotic Process Automation or Machine Learning implementations.

When you join us, you’ll also be joining Danaher’s global organization, where 68,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization.

Danaher is committed to a diverse and inclusive culture where everyone feels they belong and all voices are heard. We believe in our associates and the unique perspectives they bring to every challenge, which is why we’ll empower you to push the boundaries of what’s possible.

If you’ve ever wondered what’s within you, there’s no better time to find out.

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