Data Scientist
Skills
Cloud ComputingArtificial IntelligenceAzure DatabricksKerasMachine LearningMicrosoft Power BIPredictive Modeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field
- Proven track record in the industry
- Proficiency in Python or R, and familiarity with Java and/or C#
- Experience with data visualization tools like Tableau or Power BI
- Solid understanding of machine learning frameworks such as Databricks ML, TensorFlow, Keras, or Scikit-learn
- Strong grasp of cloud technologies
- Solid foundation in statistical analysis, hypothesis testing, and predictive modeling
- Experience with big data technologies and platforms such as DataBricks
- Familiarity with Hadoop, Spark, and/or Hive
Nice to have
- Proactive problem-solver
- Strong communicator
- Team player
- Adaptable to change
- Detail-oriented
- Creative thinker
Day to day
- Lead development of AI solutions to unlock insights from data
- Delve into complex customer datasets to drive business decisions & uncover actionable insights
- Collaborate with cross-functional teams to tackle intricate problems & implement data-driven solutions
- Champion data science and AI and demystify it for our customers
- Bridge the gap between AI and practical applications supporting back-office systems
