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Were seeking an experienced Data Scientist to join our innovative team and drive impactful data-driven decisions. Youll leverage advanced machine learning techniques to solve complex business problems, lead projects, and mentor junior team members.
Key Responsibilities:
Develop and deploy supervised regression, classification, forecasting, and time series models using tree-based approaches and linear models.
Build scalable data pipelines and analytics solutions on large datasets.
Collaborate with cross-functional teams, communicate insights effectively, and lead groups of data scientists.
Write clean, testable code in large codebases, including unit tests.
Utilize Azure, Databricks, and GitHub for model development, deployment, and version control.
Must-Have Qualifications:
Strong experience in supervised regression, classification, forecasting, and time series analysis.
In-depth knowledge of tree-based algorithms and linear models.
Proficiency in Python and PySpark, with hands-on experience in large-scale codebases and unit testing.
Familiarity with Azure, Databricks, and GitHub.
Proven leadership skills, including excellent communication and ability to lead data science teams.
Nice-to-Have:
Experience with additional ML frameworks or cloud services
You will get:
- Flexible working hours
- Company events
- Money return for passed certifications
- Opportunity to take advantage of Microsoft Azure and Google Cloud Platform training package available only for partners of these providers
- A supportive community with 100+ consultants with 10+ years’ experience in Data Warehouse and Big Data