Fractal Analytics Data Scientist Salaries in India

Likes

Work life is balance is good scometimes, if you are luck as ir highly depends on your project.

Dislikes

...aid for life. The people from IIT's earn twice as nuch as you for the same work. They are highly discrimanatory in terms of promotion and pay. They dont care about employees at all. You'll always feel like you are being exploited, because trust me (after working for 3 years here) you are.

Likes

You'll find some good data scientists in this company, so if you're lucky enough to be associated with them on some projects, there's an opportunity to learn. Good work-life balance.

Dislikes

Abysmal management, has no eye for talent. You'll encounter severe discrepancy in pay, and there's a minimal chance you'll be lucky enough to be paid fairly. Expect to stay in the dark regarding compensation. Probably the worst career growth going around. There's a lot of hearsay that excellent AI/Deep learning-based problem-solving is going on here, but that's only if you're inclined to research independently. Rarely you'll encounter novelty in problem statements, you need to adhere to the client's whims. Probably the worst decision in my life to have started my full-time experience with this company.

Likes

Work culture is really good. Work transparency and understanding is really great.

Dislikes

salary lags behind other top rated companies by 3-4%. However with recent unicorn status, expect significant salary improvements

Likes

Flexible working hours, good colleagues, work environment is devoid of any discrimination, appreciation at work, employees are being looked after by the reporting manager as well as higher authority through daily and weekly calls and monthly 1 to 1 connect, good benefits for employees

Dislikes

Compensation is less compared to peers, increment and growth is slow

Likes

Good exposure to work with folks from different background and experiences. Good interaction with C-Level folks.

Dislikes

Salary range is too big in a particular grade. Can get lost a bit in the pace and variety of the work allocated.