3 Aviso Jobs

About Aviso AI :

Aviso AI is revolutionizing enterprise sales intelligence with its cutting-edge AI solutions for forecasting, deal guidance, and revenue operations. By leveraging AI and machine learning, we transform how enterprise teams operate, allowing them to make data-driven decisions, optimize sales strategies, and increase productivity.

Aviso is seeking Data Scientists to work hand-in-hand with Aviso's operations and development teams. You will be working with the founders, sales, product, and customer success teams to ensure that customers are delighted with Aviso solutions. You should be passionate about solving hard real-world enterprise problems by architecting, building and operating a highly scalable infrastructure.

This is the job for you, if :

You are that unique person who is equally comfortable with understanding business, connecting the dots between business and data, thinking out of the box, involved in research with innovative ideas, solving deep and complex problems, hands-on data science.

Looking at, understanding and working with a large set of information (including feature engineering), variety of datasets (including translating mathematics into programs), and data types (including text, image, speech processing).

This is what you'll do :

• Work in the Data Science team and build Machine Learning models.
• Apply critical thinking skills for solving complex and challenging business problems.
• Continually evaluate new models and techniques to create solutions that will deliver increased value to business clients.
• Become an expert in using existing tools for the purpose of onboarding new clients.
• Provide the feedback loop to continually improve the tools and process to build industry leading products and solutions.
• Work closely and communicate daily with engineering and customer success teams.
• Ship production ready code - Design, implement, test, and maintain features in the following core systems within our platform.
• A social graph of the world's sales data, incorporating hundreds of millions of records related to sales, people, companies, and deals to create actionable advice for sales and marketing teams.
• An intelligent system for matching sales activity (e-mails, calendar data, calls) with sales data records from Customer Relationship Management (CRM) systems, incorporating both complex business rules and using Machine Learning to leverage the company's social graph.
• Enhance our conversational intelligence platform capabilities with next generation NLP, Deep Learning & Computer Vision capabilities
• Continue to evolve our software development process to ensure customer-centric development with Product, Design, Data Science, and Engineering working together.

• Minimum of a Doctoral or Master's or Bachelor's degree in a field that provides a strong quantitative and programming background : Computer Science, Information Technology, Electrical / Electronics Engineering, Mathematics, Statistics, Applied Mathematics, Operations Research, Economics etc. from Top Tier Organizations.
• Strong command of discrete and continuous probability theory, statistical analysis, cross validation, model evaluation, feature extraction and selection, hyperparameter tuning, dimensionality reduction etc.
• Working knowledge of C, C++, Java, Scala, Python and the SciPy stack (NumPy, Pandas, SKLearn, MatPlotLib, etc.).
• Having understanding of the project or product features
• A great communicator - must be able to explain technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses.
• Prior experience in Data Science projects on lead conversion, closing sales deals based on data available in a CRM system like Accounts, Contacts, Opportunities, Leads etc. highly desired.

4+ Years of Experience with advanced data modelling, machine learning algorithms, and data science techniques, including the majority of the following topics :

1. Programming for Data Science

2. Predictive Analytics and Regression

3. Supervised Learning and Classification

4. Unsupervised Modelling and Recommendation

5. Time Series and Forecasting

6. Neural Networks and Deep Learning

7. Text Mining and Natural Language Processing

8. Image Processing and Computer Vision