Fresh Gravity Hiring Drive 2024: Fresh Gravity Hiring Drive 2024 for its Analyst – Data Science. Fresh Gravity Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.
Company Name: Fresh Gravity
Role: Analyst – Data ScienceFresh Gravity ,
Location: Pune
Experience: 0 – 1 years
Qualification: Bachelor s degree
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Fresh Gravity Hiring Drive 2024
Requirements:
- Good coding knowledge.
- Good knowledge in Data Structures & Algorithms.
- Should have knowledge of basic Computer Science concepts in
- Database & Operating Systems.
- Should be familiar with Data Science concepts, ML algorithms and concepts.
- Any academic or on-job ML experience is preferred
- Strong interpersonal and communication skills.
- Independent problem-solving skills.
- Ability to learn new skills/technologies quickly and independently.
- Ability to work in teams and achieve assigned tasks before deadlines.
- Candidate should have a bachelor s degree in BE/ B-Tech/ ME/ M-Tech Computer Science & Information Technology Branch
- In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations.
- In keeping with Fresh Gravity s challenger ethos, we have developed the 5Dimensions (5D) benefits program.
- This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions.
- Enrich Myself; Enhance My Client; Build my Company, Nurture My Family; and Better Humanity.
Skills:
- Data management
- data science
- Operating systems
- Artificial Intelligence
- Data structures
- Business strategy
- Information technology
Company Overviwe:
- Fresh Gravity is a business and technology consulting company.
- We are at the cutting-edge of digital transformation.
- We drive digital success for our clients by enabling them to adopt transformative technologies that make them nimble, adaptive and respons
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