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Fractal Analytics Developer salaries in Madhugiri

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a data scientist
2w (edited)
Best organization in terms of Learning, Opportunity, WLB
Current Role: Data Scientist (Gen AI) YOE: 5.5 CCTC: 18.5 LPA Offers I have: 1. Quantiphi Analytics (Bangalore) - 32.9 LPA (29 Fixed + 1 JB + 2.9 Variable) 2. STG Labs (Bangalore) - 33 LPA (32 Fixed + 1 JB) 3. Rakuten Symphony (Bangalore) - 32.8 LPA (28 Fixed + 1 JB + 2.8 Bonus) 4. IBM (Hometown) - 35.6 LPA (32.55 Fixed + 3.05 Variable) 5. Programmers.io (Remote) - 35.5 LPA (33.5 Fixed + 1 Variable + 1 JB) 6. Fractal Analytics (Bangalore) - 32 LPA (29 Fixed + 3 Variable) - Asked them to revise it I want to know which organization will best considering Learning, Opportunity, WLB.
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Salary related reviews for Fractal Analytics

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2.0
  •  updated on 28 Aug 2019

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Unlimited Work from Home Free meals - Breakfast, Lunch & Snacks Yearly increment is better than industry avg and is easy to achieve A below avg performer can manage to get an above avg annual hike (that’s how the current appraisal system is)

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...sibility of managing ML/AI projects, which makes difficult to work with them. Huge disparity in compensation Performance is in no way linked to annual increment

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Data Science & Analytics Department

1.0
  •  updated on 11 May 2022

1.0
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...ing transparent and open , the actual company culture is not at all transparent. There is huge pay disparity and it's important to have connection to grow at Fractal.

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No transparency Lack of growth Pay disparity No clear career path Client is always right attitude Always on backfoot against client

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Data Science & Analytics Department

3.0
  •  updated on 09 Sep 2018

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 for  Salary and Benefits

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Flexible timings, easy going culture

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...fferent performance assessment criteria and changes the direction completely. The latest one involves directly attaching client billing to an analysts increment and variable pay. Thereby if a project gets extended due to an unreasonable client or poor project management the analyst who has been struggling to finish the project, suffers even further. In addition there is a new enthusiasm about AI and ML which has been extended to the entire company in a bid to outrun competition in this new field when numerous projects are lost due to absence of basic analytical expertise and infrastructure.

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