Responsibilities For Data Scientist
Work with stakeholders throughout the organization to build proof of concepts for new business solutions.
Efficiently explore new data sources and assess data gathering techniques.
Help to conceptually frame and refine relevant business questions.
Build robust data pipelines.
Develop custom machine learning models and algorithms
Coordinate with different functional teams to implement and productionize models while monitoring the performance.
Communicate findings to different stakeholders.
Essential Skills And Qualifications For Data Scientist
Strong critical thinking and problem-solving skills.
Experience using statistical computer languages (preferably python or R) to manipulate data and draw insights from large data sets.
Experience working with databases (e.g. SQL).
Profound knowledge of a variety of machine learning techniques (clustering, classification, regression, deep learning) and their real-world advantages /drawbacks.
Good knowledge of advanced statistical techniques and concepts (hypothesis testing, Bayesian statistics, properties of distributions) and experience with applications.
Excellent written and verbal communication skills for coordination and communication.
Curiosity and research attitude to learn new ideas and techniques.
Coding experience (preferably python) to write robust and high standard code; experience with version control (preferably git)
Experience 7-8 years
Salary- As per industry standards
It’s a bonus if you also have
Automotive
Deep learning
Probabilistic graphical models
Numerical optimization