Data Scientist at Anaplan
San Francisco, CA, US

At Anaplan, we are looking for a self-motivated DATA SCIENTIST to join our growing team at our vibrant tech hub in SAN FRANCISCO to build and ship the technology that is helping people and companies around the world every day to make better-informed plans and decisions.


If you want to join a fast-growing startup, work with clever and friendly people, and play with some cool technology, then you’ve found the right place. 


In the heart of the eclectic SOMA district, you can feel the excitement and energy of what we do at Anaplan when you step into our San Francisco office. There are open floor plans, fully stocked kitchens, and great collaboration spaces, and we focus on making sure that you have everything you need to work well from the right lighting to the latest technology. When it’s time for the team to play together, we visit with our neighbors at a Giants game or a local pub’s happy hour. Come see for yourself what a collaborative and exciting place to work looks like. You will join a team of individuals who embrace and respect diverse perspectives, aren’t afraid to push boundaries and try new ideas, and are passionate about helping our customers and each other succeed. We work hard, but we also don’t wait for an excuse to have fun. In fact, we’re so serious about it that it’s one of our core values. 


This role is an immediate full-time position. If you’re ready to roll up your sleeves and tackle unique problems that no one is solving in the tech space yet, keep reading.



As a Data Scientist you will help disrupt the future of business planning through Artificial Intelligence and Machine Learning. Analyze a massive amount of data from Supply Chain, Sales, Marketing, Finance, to IT & Ops to develop predictive models and knowledge graphs to help our enterprise customers make better business decisions. Unlike many startups, we have many customers and a lot of real business data to tackle real problems.



  • 4+ years of experience applying advanced AI techniques (machine learning, predictive analytics, optimization, semantic analysis, time-series analysis, advanced visualization) to real-world problems
  • Proficient with SQL, Python; (experience in R is good to have but not required)
  • Ability to define business problem in machine learning / Deep Learning framework
  • You have a demonstrated ability to iteratively conceptualize, design and build data-driven analytical models, and have taken a project leadership role in shaping these solutions.
  • Strong capabilities in modern analytics languages/tools.
  • You have expertise in Machine Learning and Deep Learning and one of the following other areas: Optimization or Operations Research, NLP, Computer Vision
  • A huge plus if you have hands on experience in one of the following: Spark: pyspark MLlib (running ML algorithms on local Hadoop cluster environment), or GCP or AWS or machine learning on Azure.
  • Master’s in Computer Science, Operations Research, Statistics, Applied Math.
  • You have experience manipulating and preparing large, heterogeneous data sets (“Big Data”) to support advanced analytics.


  • The opportunity to work for one of the coolest companies in global tech – our awards include Top 10 Most Innovative Enterprise Software Companies (Fast Company 2016) & a double Magic Quadrant Visionary (Gartner, 2015)
  • Highly competitive salaries - we’re very serious about attracting the very best technologists in the industry.
  • A long list of incredible benefits worthy of a leading Silicon Valley tech firm (inc. stock options, bonuses, healthcare, flexible working hours, global travel opportunities and much more.
  • A rewarding, progressive and tailored career path with a company that values diversity, innovation and invests in you.
  • Huge technical problems to solve – you will constantly be learning and pushing boundaries, working with some of the smartest people around!