Job Description

:

• Applies business acumen in analyses to extract meaningful and actionable information.
• Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience.
• Engages in the collection, integration, analysis, and presentation of data for various business contexts.
• Leverages various analytical techniques, appropriate to solving the business problem at hand.
• Performs research for solutions and solves problems efficiently to overcome data analytics challenges.
• Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them.
• Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like.
• Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering.
• Does peer reviews of codes and approaches of fellow members of the data science team.

Department:

Data Science

Skills Required:

Python, SQL, Data Science, Machine Learning, Statistics, Probability

Role:

Required Skills (Must have)

Tech

• Intermediate programming knowledge in Python and SQL.
• Intermediate knowledge in Probability and Statistics, including hypothesis testing.
• Intermediate knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.
• Intermediate knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.
• Experienced in modern development tools and writing code collaboratively.
• Possesses intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.
• Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms.
• Intermediate knowledge of MS Office applications namely MS Excel, MS PowerPoint, and MS Word.

Non-tech

• Ability to present findings to a non-technical audience.
• Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations.
• Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions.
• Ability to storyboard an entire presentation to a non-technical audience.

Required Skills (Good to have)

Tech

• Advanced programming knowledge in Python and SQL.
• Advanced knowledge in Probability, Statistics, and Machine Learning.
• Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

Non-tech

• Advanced storyboarding and deck making skills
• Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations.

Educational Qualifications

• A bachelor\xe2\x80\x99s degree in engineering, statistics, mathematics, computer science or another technical field.
• For those with a bachelor\xe2\x80\x99s degree in non-technical fields, relevant prior work experience, technical aptitude, and coursework in data science from institutions of repute will be important.

Years Of Exp:

2 to 4 Years

Education/Qualification:

Bachelor of Engg./Tech.

Designation:

Associate - Data Science

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