Data Scientist Prague, Praha

Data Scientist

Overview
(COMPANY NAME)s strategy is to provide best in class services to its partners - world leaders in technologies. A crucial building block of (COMPANY NAME)s services is a comprehensive Data insights of the market trends and opportunities. (COMPANY NAME) has built a strong data analytics capability, focused on creating predictive insights, automation of the business processes and personalization of the partner interactions.
(COMPANY NAME) continues building up its highly successful Data Practice and looking for a passionate and talented Data Scientists to join our European excellence team.
Our Data team working environment:
- Always working with the latest Data Science, cloud based, technologies, such as MS Azure stack, Databricks, Snowflake SQL, Python/R, Tableau, Git,...
- Large number and size of the data sources / Variable analytics use cases (truly BIG DATA)
- Start-up like dynamic, with the stability of the corporation
- 100% of work on real use cases, with real business use (no POCs without use)
- Agile and experimental approach, new implementations within days not months
- Active involvement in E2E business solution, incl. solution design and presentation of the results of your work.
- In our company, your opinion matters and your personal development is equally important like the development of the company.
- Collaboration with the Data Science professionals with all sort of different expertise based in Prague and around the world
The role expectations:
- An autonomous self-starter with a passion for analytics and problem solving. You will help build new Analytics service offerings that grow our portfolio of products and will captures proprietary content, and support the creation of proposal/selling documents.
- Strong presence, strong collaborator and leadership skills and ability to operate effectively in a matrix organization are a must.
- Love building things and are comfortable working with modern development tools
- Have a proven ability to synthesize complex data; as well as a deep understanding of modern machine learning techniques and their mathematical underpinnings, and are able to translate this into business implications for our clients
Knowledge, Skills, and/or Abilities Required:
- Hands on programming/scripting experience in Python, Scala, or R.
- Expertise in PySpark/Scala is a plus.
- Confident statistical and machine learning skills
- Strong experience with practical data science and hands-on involvement with deployed ML pipelines in a business environment
- Relevant SQL skills
- Team player with great communication skills and willing to help the other team members
- Proactive and self-motivated
- Min 2 years experience working as a Data Scientist
- Fluency in English are required
Whats In It For You?
- Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
- Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
- Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
- Diversity, Equity & Inclusion: Its not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
- Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
- Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.
At (COMPANY NAME), were proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If youre excited about working for our company and believe youre a good fit for this role, we encourage you to apply. You may be exactly the person were looking for

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