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Senior Data Scientist

Engineering

San Mateo

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About SurveyMonkey

SurveyMonkey (NASDAQ: SVMK) is a leading global survey software company on a mission to power the curious. The company’s People Powered Data platform empowers over 17 million active users to measure and understand feedback from employees, customers, website and app users, and the market. SurveyMonkey’s products, enterprise solutions and integrations enable 350,000+ organizations to solve daily challenges, from delivering better customer experiences to increasing employee retention. With SurveyMonkey, organizations around the world can transform feedback into business intelligence that drives growth and innovation.

SurveyMonkey is a place where the curious come to grow. By embedding inclusion into our processes, policies, and culture, we are building a workplace for our 1,000+ employees across North America, Europe, and APAC where people of every background can thrive. We’ve won multiple awards and received recognition for our forward-looking policies, including extended parental and bereavement leave, vendor benefits standards, and Take 4 sabbaticals. SurveyMonkey was recognized by Great Place to Work® and FORTUNE as a top workplace in 2018 and 2019, and the company has also won numerous awards as a leader in global survey software, including being named among CNBC’s Disruptor 50 and the Forbes Cloud 100.

Over the past two years we’ve become a public company and expanded our platform with enterprise-grade features in privacy, security and compliance, putting SurveyMonkey on the path to rapidly expand our presence within the Fortune 500. We have ambitious goals to grow our international footprint as well, and every member of our troop plays a critical role in driving this growth and transformation. It’s an incredible time to join the company and be a part of our next chapter!

The Role

We are looking for a seasoned machine learning and data mining expert to join our data science team to lead the execution of groundbreaking R&D projects.

As a senior member of the Data Science team, the successful candidate will play a leading role in deriving key insights from large amounts of our people-powered data, suggest and implement new product features, and make improvements in existing models for better user experience. He/She will work on developing machine learning algorithms and systems, and need to be capable of implementing and utilizing intelligent tools and technologies. He/She will help internal constituents to achieve extraordinary value for our customers. This role also involves technical leadership and mentorship of data scientists and machine learning engineers. Furthermore, you’ll be instrumental in developing & growing a team of data scientists, and have the opportunity to set technical directions and establish team culture. 

Requirements

  • Expertise in machine learning model development, including data preprocessing, feature engineering, classification and prediction model development, and model deployment.
  • Strong programming skills, expert knowledge of algorithms, and data structures (Python preferred).
  • Prior experience and continued interest in mentorship and technical development of junior data scientists.
  • Excellent problem-solving, critical thinking, creativity, organizational, design, and interpersonal skills.
  • Ability to work well with all levels of engineers.
  • Confirmed ability to handle multiple projects with strict deadlines.
  • Prior experience in partnering with product and engineering teams to solve problems and identify trends and opportunities. 
  • Excellent customer experience intuition; demonstrate success in inventing innovative and user-friendly products.

Preferred Qualifications

  • Master's or PhD in Computer Science or a data-driven physical science, or equivalent, plus 4 or more years of relevant industry experience.
  • Industrial data-mining / analytics experience including applied techniques in data mining, machine learning, natural language processing (NLP)  or graph mining preferred.
  • Expert knowledge of Airflow, Pytorch/Tensorflow, Scikit-learn and Pandas is a plus.



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