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Data Scientist career path

The market for a Data Scientist position is continually growing. This is because the field is a broad one that many companies are involved in and hire for. A Data Scientist has the responsibility of taking a set of data and interpreting it correctly so that it may be used in a variety of performance-enhancing aspects, programs, hardware and other areas dictated by the company. The work that a Data Scientist does will often be used to either create artificial intelligence or to enable artificial intelligence to operate more efficiently when it comes to the processes under its control. A Dat... more

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Opportunities for Data Scientists

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Career-building content for Data Scientists

We've collected tons of information on salaries, compensation, negotiation and more. See even more on our blog.

7 Qualities of the Best Engineering Leaders

Engineering

In my career as an engineer, I’ve encountered both extremes of engineering leadership. I have worked for some excellent people, and I have worked for others who, despite their technical chops, were effectively well-paid dictators. Looking back, I can point to seven important qualities that separate the leadership wheat from the chaff. These are the […]

Software Tools for iOS Developers

Engineering Tech Skills

As an iOS developer and productivity junkie, I’m always on the lookout for tools that can streamline my workflow. The following is a collection of software tools that I repeatedly find myself going back to while working with top-tier tech companies and startups in the San Francisco Bay Area. UI Development Tools Reveal Reveal is […]

How To Measure the Productivity of Your Software Team

Engineering Tech Skills

Most tech companies grow engineering managers from an individual contributor through a manager track. If this was your path, then you already know: engineers are motivated by shipping impactful projects. To keep your software developers productive in a way that is measurable, use a two-pronged approach: optimize for impact while maintaining quality. Maintaining quality means […]

The Daily Commit Challenge for Programmers

Engineering Tech Skills

Authors write a novel one word at a time, during what many of them refer to as “butt-in-the-chair” time. They know that having a daily routine of sitting down to do nothing but writing is how books get written. Hemingway’s daily WC (word count) was 500. Michael Crichton’s was 10,000. One of my favorite authors, […]

Starting a New Job? 9 Ways to Set Yourself Up For Success the First Month

Career Advice Interview Process

Starting a new job can be daunting regardless of the company and role, and the first few days and weeks can be instrumental in setting you up for success before you get lost in the work. These tips can help you get the most out of your first interactions, and ensure you’re ready for challenges […]

The 8 Different Types of Company Culture that Exist today

Job Search Workplace Trends

Have you ever wondered why everyone shows up 5 minutes late to meetings in your office, while your friend insists meetings start right on the dot at her company? Or perhaps why some people seem to get all their friends from work, while others never see their coworkers outside the office? Company culture holds many […]

30 Behavioral Interview Questions You Should Be Ready to Answer

Interview Process Job Search

If you’re heading into a job interview, chances are you’ve practiced your elevator pitch, figured out how working for the company would align with your goals, and have a good sense of how your skills and background would be a good fit for the role. That’s a great start—but practicing a variety of behavioral interview […]

An Interview with a Brand Designer: 8 Questions Answered

Designers The Career Strategist

This piece is a part of ‘The Career Strategist’ blog series This is the final installment of a three-part interview series with some of the designers we have at Hired. We’ve previously discussed user experience design with Kelly Gagnon, a UX Design Lead, and product design with Alex Couch, a Senior Product Designer. Finally, we’ll […]

What is the STAR Method and How to Incorporate it into your Interviews

Career Advice Interview Process Job Search

If you frequently find yourself feeling that you give rambling answers to interview questions, it can be worth learning some answer frameworks to help structure your thoughts. The STAR method (which stands for Situation, Task, Action, Result) is a popular technique that can be used to answer competency-based questions; This guide will help you understand […]

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Top skills for Data Scientists

The market for a Data Scientist position is continually growing. This is because the field is a broad one that many companies are involved in and hire for. A Data Scientist has the responsibility of taking a set of data and interpreting it correctly so that it may be used in a variety of performance-enhancing aspects, programs, hardware and other areas dictated by the company. The work that a Data Scientist does will often be used to either create artificial intelligence or to enable artificial intelligence to operate more efficiently when it comes to the processes under its control. A Data Scientist is sometimes referred to as a big data engineer because there is a lot of overlap with that field. This is because both fields require high skills when it comes to general science, software engineering and programming/debugging software. It should be no surprise then that the duties handled by a Data Scientist often include creating various tools for machine learning within a company as well as ranking and sorting various datasets. Because of the sheer amount of data and numbers being handled, this position requires a strong background in statistical analysis. A Data Scientist must also be up-to-date when it comes to state-of-the-art methods revolving around data mining, be comfortable using third-party sources of information and be able to verify, process and format that data as necessary.

SQL

Structured Query Language (SQL) is a highly popular domain specific language (DSL) used to communicate with relational database management systems (RDBMS). SQL is a standard that is based on the "relational model", defined by professor E.F. Codd,...

R is a language designed for data manipulation and visualization. It is capable of doing various statistical computing and graphic generation (including linear and nonlinear modelling, classical statistical tests, time-series analysis, classificat...

Python is an object-oriented programming language notable for its clarity, power and flexibility. Python is an interpreted language, meaning that an interpreter reads and runs the code directly, rather than compiling down into static lower level c...

Java is a statically-typed, cross-platform language. It is concurrent, class-based, and object-oriented. It has minimal implementation dependencies and compiled Java code can run on all platforms that support Java without the need for recompilat...

C++

C++ is an object-oriented language derived from C, and invented by Bjarne Stroustrup, while working at AT&T's Bell Labs. It is widely used for systems-level programming, and building applications on Windows and various Unix operating systems (Lin...

Scala is a strongly, statically typed functional/object-oriented language primarily targeted to the JVM. It brings a lot of powerful programming language concepts out of academia, placing them into the hands of practitioners. A key design emphas...

C

C is a widely used low-level, static-typed, compiled computer language known for its efficiency. Developed in the late sixties, C has become one of the most widely used languages of all time. It provides direct access to memory and due to its de...

"Agile Methodologies" or "Agile" are ways of describing an iterative approach to software development. Often adopted as an alternative to waterfall and other traditional sequential development practices. It is meant to help teams work quickly to i...

Ruby is a dynamic, highly object-oriented scripting language developed in 1995 by Yukihiro Matsumoto in Japan. In recent years Ruby has seen a huge surge thanks to the Ruby on Rails framework becoming one of the de-facto leaders in modern web dev...

Top industries hiring Data Scientists

eCommerce

The retail landscape has changed dramatically over the past few decades. Retail was once a brick-and-mortar industry, comprised of small, independently owned-and-operated businesses and large chain stores with multiple outposts throughout the c...

Analytics

Analytics and Business Intelligence roles are often confused but are also directly linked. Data that is collected when a user interacts with a system is then cleaned and stored. That data is then accessed using reports and graphical dashboards. Th...

Education

The education industry involves working in an environment that implements and teaches various skills and applicable material. Formal education typically involves various levels of education, including preschool, primary, secondary, tertiary, vo...

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