7 Data Science Jobs You Should Apply for Right Now

7 Data Science Jobs You Should Apply for Right Now

Harvard Business Review has called Data Science “the sexiest job in the 21st century.” It’s a field that’s only becoming hotter as more companies and industries realize the power of hiring a great data scientist.

Data scientists are a combination of a data hacker, analyst, communicator, and trusted adviser, and have an amazing opportunity to transform an organization from the ground up. We compiled a list of seven interesting, unique, and just plain cool data science jobs you should definitely consider checking out.

Blue Apron – Senior Data Scientist

Blue apron is a startup with great traction that’s making it easy for anyone to cook delicious meals at home. As a data scientist, you’ll help them figure out customer preferences, determine recipe quality, and come up with awesome data insights about what customers love about Blue Apron. This job is a great way to combine two amazing things – food and data science.


  • Bachelor’s or Graduate degree in a quantitative field (Computer Science, Stats, Math, etc.)
  • 3-8 years experience working in an industry or academic setting with real data
  • Have strong communication skills and be a self-skeptic
  • Proficient in Python, SQL, and other data manipulation and modeling tools (IPython a plus)

Tesla Motors – Operations Data Analyst

Tesla is one of the most-admired companies in Silicon Valley. As data analyst, you’ll help them figure out the most efficient ways to build their vehicles, highlight data trends and insights, and help them improve data gathering across all their operations.


  • College/university degree in Statistics, Quantitative Economics, Operations Research, Computer Science, Engineering, or equivalent
  • 2+ years of business analytics, business intelligence, or financial modeling background
  • Affinity to and experience with automotive processes, process management, operations strategy, and technology a plus
  • Proven experience developing well-structured data reports that highlight insights, rather than complexity

Hillary for America – Data Scientist

Regardless of your political affiliations, helping to define a candidate’s strategy through statistical predictions is probably of the most interesting applications of data science. Many political organizations and candidates are getting increasingly data-savvy; make a huge impact on the 2016 presidential race by using your statistical expertise to turn large, complicated data sets into useful insights.


  • BA/BS Econometrics, Statistics, Mathematics, Computer Science, Machine Learning, Political Science or other technical fields (MS or PhD preferred); OR equivalent practical experience in an analytical setting
  • Expertise with any of the following: predictive analytics and modeling, survey methodology, causal inference, experimental design and analysis, independent research, text analysis/natural language processing or regression analysis
  • Expertise in various statistical packages such as R, STATA, Python, Weka, or Apache Spark
  • Experience with SQL queries and data visualization tools

Data Scientist – Lyft

If you’re a fan of on-demand services (and pink mustaches), being able to dig into Lyft’s massive repository of data is a dream come true. This is a great way to use your skills to improve a service that thousands of people rely on every day.


  • 2+ years professional experience
  • Proven achievements derived from your research and data analysis skills
  • Experience with all stages of the data analysis pipeline, from querying (e.g. SQL/Pig) to statistical analysis
  • Experience with mathematical optimization, machine learning, spatial statistics, and data visualization

Spacex – Sr. Software Engineer – Data Management Automation

Use your data science skills to literally do rocket science. SpaceX is an extremely exciting technology company that’s trying to accelerate the course of human history by developing the technologies necessary for multi-planetary civilization. In this role, you’ll work on flight software and develop systems for automation and vehicle tracking.


  • 5+ years of relevant work experience
  • Expert coder in an advanced languages – Java, Python, Javascript
  • Expert knowledge of JIRA, Trac, or other tracking tools
  • Working knowledge of REST and RPC service patterns and other client/server interaction models

Spotify – Data Scientist

Work on a product that everyone loves. As a data scientist at Spotify, you’ll apply your mathematical or scientific training to analyze large volumes of diverse data, model complex human-scale problems, and develop algorithms to serve their 75 million users.


  • You have earned an advanced degree in mathematics, science, and/or computer science
  • You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. You are enthusiastic about learning new techniques and technologies.
  • You have experience with a range of data science techniques including clustering, machine learning, and network analysis
  • You have the technical competence (i.e. some combination of Python, Java, Scala, Pandas, R, SQL, Hadoop) to perform advanced analytics: Coding skills, experience performing analysis with large datasets, and analytics tools experience

Ancestry.com – Senior Data Scientist

Ancestry is the world’s largest online resource for family history. As their senior data scientist, you’ll have a huge opportunity to learn, dive into massive data sets, and redefine how people learn about their family.


2+ years work experience analyzing very large datasets and building modeling with SQL, R, Python, SAS or other statistical package.

  • 2+ hands-on experience of running A/B and Multi-Vari test online or offline
  • Past experience with Recommendation Engine, Text Mining and Content valuation is plus
  • Master data visualization tools such as Tableau or D3

If you don’t have the skills to land one of the awesome jobs listed above, check out our 12-week Data Science immersive and Masters of Science in Data Science programs.

Are there any awesome data science opportunities that we missed? Let us know about them in the comments below!