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It's been over 5 weeks since my final interview with Deloitte for M role. I've had a few email exchanges with the recruiter with a standard response that 'partners are reviewing their resource requirements and we will update you ASAP'. The recruiter always adds it was a positive interview.
I don't understand why it is taking so long to arrive at a decision? Is it normal at Deloitte UK?
Practice: Risk advisory
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Hii fishes,
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Note : Immediate joiners are highly prefarable
Its completely work from office.
Those who are interested share me the updated resume to ramsai.vallabu@kanerika.com
Location : Gachibowli, Dlf building , Hyderabad.
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Opening in Deloitte India. DM for referral
Rue had her bestie over all weekend!

Anyone received offer from ZS recently?
What happens at RIMS? Is it worth going to?
MakeMyTrip Clearwater Analytics I have 2 offers. 1. Clearwater analytics for software development engineer L3 They told me that I will be working on a new product that goes by the name of 'self service' Notice period - 3 months and other from mmt(senior software engineer 1), it is in process, they have asked for my documents Notice period - not aware. I am still confused which one to choose. Questions:- 1. Which one I should prefer and why. 2. How is the work culture, WLB in these 2 companies.
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You can expect a mix of technical, behavioral, and situational interview questions. Here are some common categories and examples.
For a Product Scientist role, the interview questions may shift slightly to focus more on product development, user experience, and the intersection of data science with product management. Here are some tailored categories and examples of questions you might encounter:
### Technical Questions
1. **Product Metrics:**
- What key performance indicators (KPIs) do you consider important for a product?
- How would you measure the success of a new feature?
2. **A/B Testing:**
- Explain the process of designing an A/B test. What factors do you consider?
- How do you interpret the results of an A/B test, and what would you do if the results were inconclusive?
3. **Data Analysis:**
- Describe a time when you used data to inform product decisions. What data did you analyze, and what was the outcome?
- How do you segment users for analysis? What factors do you take into account?
4. **User Research:**
- How do you incorporate user feedback into your data analysis?
- Describe a situation where user research influenced a product decision.
### Behavioral Questions
1. **Collaboration:**
- Describe your experience working with cross-functional teams (e.g., engineering, marketing, design). How do you ensure effective communication?
2. **Adaptability:**
- Tell me about a time when a project did not go as planned. How did you adapt and what did you learn?
3. **Influence:**
- Can you provide an example of a time when you had to persuade stakeholders to adopt a data-driven approach?
### Situational Questions
1. **Prioritization:**
- If you had limited resources and multiple product ideas, how would you prioritize which projects to pursue?
2. **Product Launch:**
- How would you prepare for a product launch? What data would you gather beforehand, and how would you measure success post-launch?
### Case Studies
- You may be presented with a hypothetical product scenario. You might be asked how you would gather data, analyze it, and make recommendations based on your findings.
### General Knowledge
- Familiarize yourself with the company's product offerings and market. Be prepared to discuss how data science can drive product innovation in that context.
### Preparation Tips
- Be ready to discuss past projects that involved product decisions and data analysis.
- Understand the company’s user base and potential challenges they face related to product development.
- Stay informed about trends in product management and how data science is shaping product strategies.
These adjustments reflect the unique focus of a Product Scientist role, where data analysis directly informs product strategy and user experience.
Good luck with your interview preparation!
Thanks.