Senior Data Scientist @

2 tygodni temu

Krakow, Polska Danish Crown GBS Pełny etat
Senior Data Scientist
Be Part of a Big Change
We are totally transforming the way we use data to make sure we are ready for Fit for Future.
Huge opportunity awaits the one who dares to jump into the speeding train of change.

So, we dare you to join us, and enjoy taking part in amazing projects, delivering great value, using top market technology, and pushing your career forward in many different areas/directions.

Data & Analytics is a multifunctional and multinational team of cool, engaged and truly open experts working on agile projects using cloud and hybrid solutions, residing in Krakow and in Randers (Denmark).

Recruitment process
Our interviews are more a conversation that allows both sides to understand each other's profiles and expectations. We will tell you more about the role and the upcoming projects. You will be asked to talk about your professional experience
Talk to recruiter
During the call from our recruitment team, you are able to ask any questions about the working conditions and you will be asked some questions to check how you are fitting to the company requirements for this particular position
Interview with Hiring Manager(s) – 1 or 2 stages

Talking about your experience describe:
challenging situation, your actions, result

Tips and tricks:
read carefully the job description you have replied to. Read about the company and industry. Think of all your professional experiences that benefited your expertise and might fit into Danish Crown context. Prepare a list of questions.
Feedback and final offer
Regardless of the outcome, we'll provide you with the honest and professional feedback how well you did. If you are successful, our recruiter will get in touch and present you the final job offer.

Educational background & required qualifications (hard skills):

Typical Education level:
B.Sc. or MS.c.

degree with emphasis on one or more of the following:
big data, data science, statistics, mathematics or equivalent quantitative discipline.
Industry specific knowledge within multiple data science areas.
Writing efficient and readable code using data science programming languages – primarily python and SQL
English skills at professional level

Technical skills/knowledge:
Modern data science stack, e.g., Azure ML, TensorFlow, PyTorch, Pandas.
Familiarity with cloud platforms and technologies. We work primarily in MS Azure
Statistical methods on structured and unstructured data (e.g. Machine Learning, Bayesian statistics, NLP, deep learning)
Version control
Data extraction and visualisation tools

Relevant experience & behaviour (soft skills):4-6 years experience
Previous practical experience in data science including implementation of machine learning models and working with large data sets
Track record in completing data science projects
Strong analytical and problem-solving skills
Able to present findings in a compelling way, whether it is through visualizations, in writing or verbally.
Professional attitude, service oriented and a team player
Stakeholder management skills
A quick learner who can understand business needs and translate them into potential analytics solutions
Detail oriented
Structured
Committed and proactive
Senior Data Scientist
Be Part of a Big Change
We are totally transforming the way we use data to make sure we are ready for Fit for Future.
Huge opportunity awaits the one who dares to jump into the speeding train of change.

So, we dare you to join us, and enjoy taking part in amazing projects, delivering great value, using top market technology, and pushing your career forward in many different areas/directions.

Data & Analytics is a multifunctional and multinational team of cool, engaged and truly open experts working on agile projects using cloud and hybrid solutions, residing in Krakow and in Randers (Denmark).

Recruitment process
Our interviews are more a conversation that allows both sides to understand each other's profiles and expectations. We will tell you more about the role and the upcoming projects. You will be asked to talk about your professional experience
Talk to recruiter
During the call from our recruitment team, you are able to ask any questions about the working conditions and you will be asked some questions to check how you are fitting to the company requirements for this particular position
Interview with Hiring Manager(s) – 1 or 2 stages

Talking about your experience describe:
challenging situation, your actions, result

Tips and tricks:
read carefully the job description you have replied to. Read about the company and industry. Think of all your professional experiences that benefited your expertise and might fit into Danish Crown context. Prepare a list of questions.
Feedback and final offer
Regardless of the outcome, we'll provide you with the honest and professional feedback how well you did. If you are successful, our recruiter will get in touch and present you the final job offer.
,[Applies expertise in machine learning, data mining, and information retrieval to design, prototype, and build advanced analytics solutions and services., Collaborates with the business to define a problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions., Collaborating with stakeholders to ensure that data science work is delivering value, Interpreting and delivering the results of findings to stakeholders within the business, Developing advanced machine learning and optimization models and algorithms., Implement scalable, sustainable solutions addressing business needs in collaboration with engineers, Communicating solutions to business problems, Initiate and drive the development of analytical solutions by designing, creating, testing and implementing complex models and algorithms, Establishing ETL processes to ensure data sources provide value for a specific task, Provide actionable insights, identify trends and measure performance by independently conducting advanced statistical and other analyses, Drive the implementation of scalable, sustainable solutions addressing business needs in collaboration with AI/ML and Data Engineers, Explain the design, functioning and output of analytical models/solutions to consumers, Staying up-to-date with the latest developments in the field] Requirements: Python, Data science, SQL, Azure ML, TensorFlow, PyTorch, pandas, Azure, Statistical methods, Machine learning, NLP, Stakeholder management, CAN Tools: GIT, Agile, Scrum

Additionally:
Private healthcare, Lunch card, Sport subscription, International projects, Training budget, 2 additional holiday days.

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