Job Location: Bangalore
Who are we?
Whatfix is the #1 Digital Adoption Platform (DAP) for Enterprises. We are disrupting the way Learning, Training and Application Support content is consumed. We provide large enterprises (Mostly Fortune 500 companies) with a SaaS platform that helps accelerate product adoption and reduce support/training efforts by providing Contextual and Step by step guidance inside any web application at the exact time a task is being performed. The product has redefined the way companies onboard, train, and provide support to users.
What sets us apart from the rest?
- With many Fortune 500 companies already onboard as customers, Whatfix has been named among the top 20 B2B tech companies alongside the likes of Adobe, PayPal, and Cisco.
- The kind of elite customer base that we have, despite being a mid-sized Indian company is simply unheard of!
- With YoY revenue growth of over 300%, we have also been recognized among the top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list
- We have also been recognized by Gartner as a Global Market Leader in the digital adoption space, and listed by LinkedIn amongst one of the Top 5 startups in India!
- Our Customer centricity is evident from a Customer rating of 4.7+ on platforms like G2 Crowd & Gartner Peer Insights
- This is what our investors have to say – SoftBank || Sequoia || Stellaris || Cisco || Eight Roads || Helion Ventures
What will you get to do?
- Synthesize data to provide actionable insights to the leadership and the product team to influence strategy and growth
- Developing & testing hypotheses to explain both macro and micro trends and opportunities in the business which in turn influence product roadmaps
- Use Machine Learning techniques to automate processes/decision making and make product easier to use for product users
- Recommending product improvements based on analytical findings. Defining new metrics, techniques, and strategies to improve performance
- Plan and perform A/B testing and product optimization in conjunction with Product Managers
Our ideal Data Scientist
- 1-3 Years of experience and a strong analytical background, with a degree in computer science, engineering, statistics, or related quantitative field; emphasis on predictive analytics, data mining, statistics, machine learning, algorithms, or similar field desirable
- Understanding of concepts in quantitative user behavior analysis – segmentation, trends, cohort
- Strong understanding of concepts related to Statistics and ML(Supervised and Unsupervised)
- Experience with text data and NLP Modeling – a must
- Prior experience in sequence modeling and recommendation systems – an advantage
- Worked with github/bitbucket or similar tools and CI/CD implementation – an advantage
- Experience with testing and maintaining models/algorithms in production – retraining, monitoring model performance
- Ability to turn large amounts of ambiguous data into a concise, meaningful story
- Ability to understand user behavior and the meaning behind the numbers
- Strong working knowledge with SQL and Python
- Experience working in a Product set up – SAAS set up an advantage
Please Note:
- We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status
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