Data Scientist

Stratiteq Sweden AB / Datajobb / Malmö
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WHAT WE DO

At Stratiteq we help companies and organizations in becoming sustainable data-driven businesses. We do this by delivering technology and strategy implementations. We purposely choose projects that make an impact, both for our customers, our partners and for society. Our primary focus are companies within Healthcare, Real Estate and Public Transport.

We consider ourselves a community of strategy and technology craftspeople and we value our team efforts highly. We use platforms such as Microsoft Azure, AWS, Dynamics 365, Qlik, and Power BI, to name a few. Regarding our custom development deliveries, we primarily work with C#, .NET, React and Vue.

We are currently joining forces with our sister companies within Qinshift, creating lots of opportunities to be a part of shaping our common future.

WE CARE ABOUT YOU

Since we pride ourselves of being a people-centric organization, your personal development and well-being is in focus. This will mean, amongst other things, a personal yearly competence budget, a healthy work-life balance policy, and an extensive health check-up. As a company, we value diversity, equality, and sustainability. We believe that a diverse and inclusive workplace fosters creativity, innovation, and growth. We're proud of the unique skills and talents that each of our colleagues brings to the table, and we're committed to creating a culture where everyone can thrive.

THIS THE JOB

As a Data Scientist at Stratiteq you are part of developing tomorrow 's intelligent solutions, enabling data-driven decision-making and making an impact within our client's businesses. With high skills and a creative mind, you help our clients achieve tangible business results such as improved products, utilization, less maintenance and in the end higher efficiency and better user experience. You will work and experiment with data using machine learning and data mining technologies as well as classical statistics. With other words, you will translate hard product goals and business problems into data science problems, draw conclusions from data, and recommend actions.

We are on an exciting journey, with a thrilling growth plan. You will become an important part of the growth and we expect that you want to make an impact both within the company and external towards our clients.

THIS IS YOU

For this role we believe you are a creative and analytic person who uses your statistical knowledge and engineering skills to create high business value. Your ability to transform data and statistics into a strategic way of thinking is the key.

However, for this role you have an educational background, Master or Bachelor 's degree within a suitable area such as engineering or mathematics. We can see that you have gained several years of experience in similar positions, and that you also have the following skills.

Experience with statistical programming (e.g., Python, R) and database language (e.g., SQL, NO SQL).

Experience with tools such as Databricks, PyTorch and Scikit-learn.

Experience from a cloud platform (e.g., Azure, Google, AWS).

Ability to work independently, as well as collaborate with others.

Ability to automate analytic tasks.

Comfortable in Swedish and English, both spoken and written.

CONTACT US

We process the applications on an ongoing basis, which could mean that the process ends before the final application date, so don't wait to apply.

If you have any questions or care for more information, don't be a stranger. Our Talent Acquisition Specialist Tove is happy to help you.

Tove Holen Franzén
tove.holen-franzen@stratiteq.com
073 257 70 90

Or, know someone who'd be a perfect fit? Let them know!

Ersättning
Lön enligt överenskommelse

Så ansöker du
Sista dag att ansöka är 2023-11-15
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Stratiteq Sweden AB (org.nr 556622-2682), https://www.stratiteq.com

Arbetsplats
Stratiteq

Kontakt
Tove Holen Franzén
tove.holen-franzen@stratiteq.com
0732577090

Jobbnummer
8029996

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