Data Scientist
Skills
Data ManipulationData ScienceGoogle Data StudioStatistical Analysis
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proficiency in Google Cloud Platform (BigQuery, AI Platform, Cloud Storage)
- Proficiency in Python or R
- Experience with TensorFlow or PyTorch
- Experience in machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with NLP tools (spaCy, NLTK)
- Experience with SQL and NoSQL databases
- Experience with cloud-based storage solutions (GCP, Azure, AWS)
- Proficiency in data manipulation tools (Pandas, NumPy)
- Experience with visualization tools (Tableau, Power BI, Google Data Studio)
- Strong problem-solving abilities
- Experience in developing and deploying ML models
- Qualification in Statistics, ML or Data Science
- 3+ years experience in relevant field
- Excellent communication skills
- Ability to explain complex concepts to non-technical audiences
- Collaboration skills
- Leadership skills.
Nice to have
- Curiosity to identify and innovate solutions
- Ability to create documentation or training materials
Day to day
- You will transform raw data into actionable insights for enhancing security solutions and optimizing business operations.
- Lead the design, development, and deployment of advanced data models to support strategic decision-making.
- Collaborate with cross-functional teams to design and execute data-driven strategies enhancing performance and customer experience.
- Present complex data in a clear, actionable manner using data storytelling and interactive dashboards.
- Automate routine tasks and refine data models to ensure accuracy and relevance.
- Stay updated with the latest advancements in data science to apply innovative solutions.