Who we are and what we do
Momentive (NASDAQ: MNTV) (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company's vision is to raise the bar for human experiences by amplifying individual voices. Learn more at Momentive.ai.
More about our Product Data Science Team
Equipped with rich product data ranging from text to image and video, we build cutting edge ML models to solve real customer issues. In the past, we have filed patents about our novel machine learning algorithms to help customers from survey creation to insight extraction, such as bias questions identification models to provide recommendations on rephrasing these questions, sentiment analysis models to reveal the emotions behind what respondents are thinking, and response quality models to suggest removing bad responses. We work closely with Machine Learning engineers to ship models in production seamlessly. Therefore you will see the impact of the models quickly. You will report to Data Science Manager.
What we're looking for
You will play a leading role in deriving key insights from our enormous data, suggest and implement new product features, and make improvements in existing models for better user experience. Your role also involves technical leadership and mentorship of data scientists and machine learning engineers.
- Transform a business problem to a machine learning problem
- Develop machine learning algorithms and systems
- Evaluate offline and online performance
- Involve in strategy planning
- Deep knowledge in machine learning algorithms, especially in the domain of natural language processing
- Strong programming skills, expert knowledge of algorithms, and data structures (Python preferred)
- Expert knowledge of AWS, Pytorch/Tensorflow, Scikit-learn and Pandas
- Prior experience in partnering with business teams to identify trends and opportunities.
What we offer our employees
Momentive is a place where the curious come to grow and shape what's next. By embedding inclusion into our processes, policies, and culture for our 1,400+ employees across North America, Europe, and APAC, we're building a workplace where people of every background can excel. 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.
Momentive is featured as a Glassdoor 2021 Best Place to Work and National Capital Region's Top Employer in Canada (2021). In 2020, Momentive was recognized as a top place to work by Glassdoor Best Places to Work, Fortune Best Places to Work in the Bay Area, Parity.org's Best Companies for Women to Advance, and National Capital Region's Top Employers in Canada. Momentive has consistently been recognized by Great Place to Work® and Fortune as a top workplace since 2018, and we have also won numerous awards as a leader in global survey software, including being named among the G2 Best Software Companies, CNBC's Disruptor 50, and the Forbes Cloud 100.
Our commitment to an inclusive workplace
Momentive is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
Learn more about our diversity, equity, and inclusion efforts here.