Job Description

Our customers say that finding the right candidates at the right time can be like finding a needle in a haystack. Sense, however, makes the whole process a lot less labor intensive for them. Agencies using Sense unlock the real power of recruiters, who don't have to spend most of their time managing mechanical and repetitive tasks. One of the most powerful tools in our portfolio is the virtual assistant, which we call Reva (Recruiting Virtual Assistant), aka the Chatbot. Reva today can handle tasks such as scheduling meetings, collecting information from candidates, find the best jobs for them based on this information, and even prescreen them. Reva is fast becoming one of the top revenue generating products at the company. In addition to Reva, we offer a variety of tools to our customers to find talent and for candidates to find jobs, where ML techniques can help us stand out. Parsing and reasoning on CVs or job descriptions, ranking jobs by relevance, flagging urgent communication based on sentiment analysis are just some of the examples. We need your help leading a group of Data Scientists, focused on injecting intelligence in our existing portfolio, and creating new product categories based on the large datasets at our disposal and what the market is ripe for. Come help us shape the future of work!

RESPONSIBILITIES:

• You shall lead, manage and hire a team of talented data scientists.
• Collaborating with your team, you will craft a thoughtful, long-term technical strategy that anticipates future needs while being pragmatic about what's needed today.
• You will have practical exposure of being a technical contributor and mentor for your team. While most of your focus will be on people management, you're not afraid to roll up your sleeves and do actual technical work when appropriate.
• You will set the right metrics and goals for your team, by focusing on the outcome and not on the inputs.
• You will check and confirm the accuracy and effectiveness of the work performed and the methods used by engineering team, including code and architecture reviews.
• You shall create detailed engineering plans, processes, and procedures for engineering staff to use and abide by.
• You'll define clear requirements for the infrastructure needs to make your team as productive as possible.
• You will work with other engineering managers and functional leads to set direction and ambitious goals for your team, Engineering, and Sense as a whole.

Qualifications

• Masters in field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent).
• 8+ years of experience working in science ideally in the tech or consumer industry.
• 5+ years of experience managing Machine Learning, Research, and/or Applied ML teams.
• Evidence of doing or directing science work with high positive impact on business outcomes.
• Experience hiring and leading experienced data scientists as well as a successful record of developing junior members to a successful career track.
• Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, that have been successfully integrated in production systems or informed policy decisions.
• Demonstrable expertise in research design methodologies (e.g., experiments, quasi-experiments, surveys, sampling methods, etc).

LANGUAGES AND TECHNOLOGIES WE USE (AND TEACH):

• Python for development
• Keras/Tensorflow/Pytorch for training ML models
• SQL for storing and processing analytics data from the bot
• AWS for training and serving ML models

Additional Information

PERKS & BENEFITS

• Medical, dental, and vision insurance for employees and dependents
• Unlimited PTO to promote a healthy work-life harmony
• Equity

All your information will be kept confidential according to EEO guidelines.