Data Scientists

Highlight any past analytics work, projects that required carrying a business question to final analysis deliverables and next steps, and relevant skills such as coding languages.

Facebook is a good place to kickstart a career as a Data Scientist because they have a lot of resources, a lot of smart people, and a lot of great perks. However, I would caveat that the position being tough professionally and socially. I was the only female data scientist on my team and I really...

Data Specialists should be comfortable with visualizing and understanding every column of huge data sets. You should also be very familiar with any of the several available database tools (for me, for example, that was Datastage 9.1). Along with this, we used tools like Teradata, Oracle, Unix, an...

I have meetings and write code on a daily basis, where my boss gives me pieces of the analysis we're working on. It's very independent work but the group is always a resource and I've learned a tremendous amount for each new project I've worked on (web apps, AWS, computational epidemiology & stat...

I received $20 / hour.

Nielsen had just made the shift to using Python, so they were very excited that I had experience with the language. My manager and colleagues said they liked my sense of curiosity, so I would ask a lot of questions in a potential interview. My manager also mentioned that she hired me because I ha...

At IBM, I had the opportunity of working on two different teams. On one team I was an Information Developer Intern, where I worked with a financial planning and analytics team to develop an automated testing tool using VBA macros and an IBM analytics program called Cognos CAFE. On the second team...

A very good work-life balance! We have office parties, ping-pong games, computer tennis games and so on.

CEB helps their customers analyze data and making business strategies. As a data sci intern, you get to handle an independent project. Depending on the project, you might take over someone else's code, learn it and improve it, or brainstorm from the very beginning to contribute ideas and making p...

Knowledge in Statistic modeling, machine learning and natural language processing, programming skills in Python, SQL and basic knowledge of Linux, Hadoop, and Spark.

Data Specialists should be comfortable with visualizing and understanding every column of huge data sets. You should also be very familiar with any of the several available database tools (for me, for example, that was Datastage 9.1). Along with this, we used tools like Teradata, Oracle, Unix, an...

The decision timeline for Microsoft's Data and Applied Sciences full-time opportunities is typically 2 to 3weeks from application submission to final decision.

Yes - I have experience in all of these subjects from every perspective you've mentioned above. While my career has never been to become a "developer" or "programmer" per se - I've learned to to many functions one who would aims to have such a role in this space as a business owner and Microsoft ...

Daily Standup meeting to update status and brainstorm Work on the models of the project Communication with IT team on the infrastructure for deliverables.

Understand Manufacturing Data Get familiarised with Basic Statistics Modeling Concept, ML concept Improve your communication skills

First thing I would recommend is to read/learn about the technology that has been developed at Accelerate Diagnostics. I have been here for almost 6 years and had the opportunity to experience first hand the R&D and systems integrations of it.It is essential to know what the purpose of the techno...

Experience/projects in a programming language (R, Python, Java, etc) Familiarity with Hadoop. You don't need experience with this but knowing what it is at a high level is a good idea. https://www.youtube.com/watch?v=9s-vSeWej1U Data cleaning/munging. Always perform exploratory data analysis and ...

This depends on team. I have a great work-life balance and the company as a whole emphasizes that the work is only an aspect of life: I wouldn't be concerned about this.

Honestly, as an individual contributor, you're probably forgettable to Microsoft as a company. Focus on adding clarity and value through data: enable your team to make good decisions, and you'll have a great impact to your team.

Be comfortable with statistical concepts as well as programming concepts. Be able to solve problems end to end with data (think a data "case study" - how would you use data to understand how many of each kind of phone to stock at a store?)

One should be good at understanding the requirement, note minute detail and handson experience with any Visualization tool such as Qlikview, MS Power BI, Tableau. Though SAS VA tutorial is not easily available online but tutorials on Tableau is in ample. You may explore also Udemy, many a times...

Highlight any past analytics work, projects that required carrying a business question to final analysis deliverables and next steps, and relevant skills such as coding languages.

Facebook is a good place to kickstart a career as a Data Scientist because they have a lot of resources, a lot of smart people, and a lot of great perks. However, I would caveat that the position being tough professionally and socially. I was the only female data scientist on my team and I really...

Data Specialists should be comfortable with visualizing and understanding every column of huge data sets. You should also be very familiar with any of the several available database tools (for me, for example, that was Datastage 9.1). Along with this, we used tools like Teradata, Oracle, Unix, an...

In truth, it’s probably just an ok place to start your career as a DS. The problem is that the data environment isn’t great yet, so young data scientists can’t focus on developing modeling skills and instead basically need to work as data engineers. The more interesting problems, how to structu...

The DS interview process is highly technical. So review all the basic definitions and uses of regression analysis. Imagine someone hands you regression output from a problem, and it’s your job to critique how they built the model.

Any coding and analytics experiences you have had in classes, side projects, and previous internships. In addition, highlight your teamwork and communication/presentation skills.

Work-life balance is a subjective term and it depends on various factors such as what level is your position, what are your other interests outside of work, etc. I typically like to work long hours (because the work demands me to work) as it is the starting stage of my professional career. But as...

A typical day starts with a stand-up call/meeting with other team-mates (generally 5-6 people) to discuss the status of the tasks done yesterday and plan for that current day. Then everyone disperses to start working on their assignments for that day. Most of the work in BI / Datawarehousing doma...

The BI department is inside the IT department or GBS - at least when I was there, but I remember they were changing that when I left and moving that to the strategy part of the company -, so in my case, I applied to an IT position and then said that I was more interested in BI. So the possibiliti...