Junior Data Scientist

| Greater LA Area
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

We're looking for a Data Scientist to join a growing team writing the next chapter of data science initiatives at Ranker.

Ranker is the top destination for votable content on the internet. Our highly engaged visitors consistently generate 50 million upvotes and downvotes on practically everything in pop culture. All that voting translates into a tremendous amount of psychographic data, revealing consumer tastes in everything from movies, to TV, to music, to sports, to brands. We want to turn all this data into something that studios, networks, and brands can use to guide their decisions, and we need your help to do it. 

As Data Scientist, you would play a huge role in determining how this data is leveraged and packaged. Our ideal candidate will have a solid foundation in research methods and statistics, but because we’re building something entirely new, you’ll need to apply that knowledge to answer questions that may not be neatly framed. You’ll help to build APIs, perform analyses, develop user-facing products, and more. 

You don’t have to worry about a “cold start” — Ranker already has the data infrastructure and talented engineering team you need to get to work immediately, and your work will be directed by a Senior Data Scientist. Our data is structured and ready for analysis, allowing you to start digging into consumer tastes and building sophisticated models that studios, brands, and marketers can use to inform data-driven decisions and campaigns. 

We’re already expanding beyond our growing core media business and building offshoot products in both the B2B and B2C space. Much of your work will be centered around building these products, taking Ranker’s IP and building it into new tools. Our current budding projects include “Watchworthy,” a TV recommender app, and a B2B business around psychographic insights. 

Based in the heart of Los Angeles and established 10 years ago, the company is solidly profitable and has 80+ employees and growing.


What You’ll Do:

  • Translate business requirements into research components and data requirements

  • Provide detailed analysis that will uncover new insights and identify new sales, marketing, and growth opportunities

  • Transform complex analyses into compelling, easy-to-understand case studies and user stories

  • Maintain and improve upon existing models and tools for internal marketing and sales teams.

What You’ll Need:

  • Master’s degree (Ph.D. preferred) in statistics, computer science, mathematics, data science, or other quantitative science (psychology, economics, physics, etc.)

  • 2+ years of relevant work experience in statistics, data science, or machine learning (or Ph.D. in a quantitative field)

  • Experience and passion for applying Data Science techniques to solve consumer and business problems around pop culture and entertainment topics

  • The ability to interpret and communicate complex concepts clearly to non-technical team members

  • Experience with quantitative analysis

  • A solid understanding of statistics and a demonstrated ability to understand the statistical basis of crowdsourcing

  • Programming and scripting skills (SQL, PHP, R, Python, etc.)

  • Knowledge of modern (tensorflow, keras, and pytorch) machine learning algorithms (clustering, regression, classification, optimization)

  • Demonstrable experience in research methodology

You Will Enjoy The Role If:

  • You get excited about taking ownership of problems and solving them in a fast-paced and scrappy environment, working cross-functionally with both technical and non-technical people

  • You want a strong data infrastructure and engineering team to back you up, rather than having to start from scratch

  • You are output-focused and see data science as a powerful tool to get things done, rather than as an end in itself

  • You are a strong critical thinker with a passion for understanding complex issues and are comfortable working on ambiguous problems

  • Your passion and curiosity for data is infectious

Read Full Job Description
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • PHPLanguages
    • PythonLanguages
    • SqlLanguages
    • SwiftLanguages
    • ReactLibraries
    • ReduxLibraries
    • VueLibraries
    • ExpressFrameworks
    • FlaskFrameworks
    • LaravelFrameworks
    • Node.jsFrameworks
    • SpringFrameworks
    • TensorFlowFrameworks
    • MongoDBDatabases
    • MySQLDatabases

Location

Located conveniently in the Mid-Wilshire district, minutes from Beverly Hills, Miracle Mile, and the 10 Freeway.

An Insider's view of Ranker

How does your team reward individual success?

What I love about being a part of Ranker's Audience Development team is that one person's success is celebrated not just as a personal victory, but as a triumph for our whole team. Every day we are encouraged to step outside of the box and speak our minds; to be creative and analytical without fear of rejection.

Amanda Bennett

Audience Development Specialist

What projects are you most excited about?

The best part about working at Ranker is the wide variety in the types of projects we might work on. We could be working on site optimization one week and creating big data management systems the next. Our latest project is a soon-to-be-released TV recommendation app that utilizes the latest in web development and machine learning tech.

Skylar Wolf

Senior Software Engineer

How does the company support your career growth?

Ranker offers me the opportunity to flourish in a completely original creative manner. Working here has provided me with the opportunity to cover a large array of subjects I'm passionate about such as pop-culture and entertainment. By treating my voice and skill sets as an asset to the company, I have been given a sense of freedom and growth.

Erin Maxwell

Entertainment Editor

What is your vision for the company?

Our focus for 2020 is expanding Ranker beyond our high-trafficked site (Quantcast Top 50) via growing video, globalization, licensing Rankings IP, growing the Ranker Insights business unit and most importantly, launching a new game-changing personalized TV recommendations app.

Clark Benson

Founder & CEO

What's something quirky about your company?

At Ranker, we are all about votable lists. We even have an enormous, interactive list on display in our lobby — anyone in the office can arrange the items on the list to their own taste. Anything from top sitcom moms to fictional pets you'd love to have, there's always a good debate going on. We even vote on our favorite catered lunches!

Andre Rodriguez

PR Manager

What are Ranker Perks + Benefits

Culture
Friends outside of work
Eat lunch together
Open door policy
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
Child Care & Parental Leave Benefits
Flexible Work Schedule
Remote Work Program
Our remote work program includes work from home Full-time remote for all positions currently during COVID - we will reevaluate this once the landscape changes.
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Company Outings
Stocked Kitchen
Happy Hours
Parking
Pet Friendly
Professional Development Benefits
Lunch and learns
Cross functional training encouraged
More Jobs at Ranker11 open jobs
All Jobs
Data + Analytics
Dev + Engineer
Marketing
Product
Sales
Content
Data + Analytics
new
Los Angeles
Data + Analytics
new
Los Angeles
Developer
new
Los Angeles
Product
new
Los Angeles
Product
new
Los Angeles
Content
new
Los Angeles
Developer
new
Los Angeles
Sales
new
Remote
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView Ranker's full profileSee more Ranker jobs