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Data Scientist
Twitch Seattle, WA
$98k-120k (estimate)
Full Time | Software & Cloud Computing 1 Month Ago
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Twitch is Hiring a Data Scientist Near Seattle, WA

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

Data is central to Twitch's decision-making process, and scientists are a critical component to promote data-driven decision-making in all of our operations. As a Data Scientist in Marketing at Twitch, you will support our partners in executing exciting marketing campaigns and making informed decisions. You will report to the Marketing Data Science Manager.

You have experience wrangling and analyzing very large datasets using SQL, visualization tools and techniques to build dashboards, and are proficient in A/B testing and statistics (including but not limited to regression methods, hypothesis testing, and causal inference). You will be part of the full lifecycle of identifying analytics needs, formulating the result, working backwards from there to come up with a solution and eventually implementing it to help partners understand the state of the business and make important decisions.

You Will:

  • Conduct ad-hoc analyses, build robust automated dashboards and self-service analytics to empower team members to make decisions based on applicable insights
  • Guide the building and strategy of marketing campaigns across multiple marketing channels including, but not limited to, emails and push notifications
  • Analyze marketing campaigns that touch creators, viewers, and the entire Twitch ecosystem and measure the impact of these campaigns
  • Design, execute, and analyze A/B tests from beginning to end
  • Assist with data collection pertaining to areas such as audience segmentation and marketing campaign performance 

You Have:

  • Bachelor's degree or higher in engineering, math, statistics, data analytics or operations research
  • 1-3 years experience in an analytics function in the consumer internet space or in a high-velocity, high-growth product / business
  • Expert SQL skills and the ability to wrangle potentially unruly data
  • Experience with Python, R or other similar statistical tool

Bonus Points

  • Master's degree in engineering, math, statistics, data analytics or operations research
  • Experience using Mode or other similar data visualization tool
  • Fluency in data analysis and communication around data
  • You are Twitch user yourself and have experience with gaming and media

Perks

  • Medical, Dental, Vision & Disability Insurance
  • 401(k), Maternity & Parental Leave
  • Flexible PTO
  • Commuter Benefits
  • Amazon Employee Discount

We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

Job ID: TW8556

#EarlyCareers

Job Summary

JOB TYPE

Full Time

INDUSTRY

Software & Cloud Computing

SALARY

$98k-120k (estimate)

POST DATE

08/01/2024

EXPIRATION DATE

08/18/2024

WEBSITE

twitch.tv

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

1,000 - 3,000

FOUNDED

2011

TYPE

Private

CEO

EMMETT SHEAR

REVENUE

$200M - $500M

INDUSTRY

Software & Cloud Computing

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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