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Recruitment CRM & Marketing Software

NLP/Information Retrieval Data Scientist

£40k – £60k • 0.1% – 0.5%
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About us

We started Beamery on the simple idea that online you are not a Candidate or a Customer - you are both. Companies have become very sophisticated at selling products and building customer relationships online, while Recruiting has not changed.
This led us to create a platform that brings predictive marketing and data-science to recruitment, empowering companies to treat candidates like customers.


Our Culture & Values

We are a small team of creators and engineers. We are dreamers and problem solvers. We’re passionate about our craft from the first meta tag, down to the last pixel and we believe sweating the small stuff is what makes a beautiful product that delights our users
Right from the start we have been focused on building a team, not just a product. We are ambitious and we work hard to achieve our goals. Everyone gets a lot of responsibility and ownership right from day 1 and we aren’t afraid to challenge each other to get to the best solution. We believe that everyone can be the best at something, and in teaching the others around us.

Description

We are always at the cutting-edge of the application of emerging technologies and methods to assure we maintain our competitive edge in the market. The Data team at Beamery is no different in this respect and are exploring the application of Natural Language Processing/Information Retrieval and related methods to help expand Beamery’s platform capabilities.

We are thus seeking a Data Scientist/Engineer with a core grounding in related techniques in this area with a strong interest of its application towards Recruitment and Talent Acquisition.

We are using NLP/Information Retrieval and the related subject areas to form a unified view of a candidate to enable quicker, efficient and more transparent hiring decisions. A key part of that strategy is to evolve our Text Analytics layer and need someone who considers themselves an expert in understanding key concepts in the practical application of Natural Language Processing, Information Retrieval, Semantic web etc.


Responsibilities
- Work closely with the business to understand the problem space, identify the opportunities and formulate the problems
- Work closely with both the Data Science team and the Data Architecture team to make the Data Science models work at Beamery, scale and velocity
- Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems
- Design, develop and evaluate highly innovative models for predictive learning
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
- Develop NLP/Information Retrieval/Text Mining methods to predict and categorize social and candidate data
- Explore related methods for optimising matching candidate profiles with job descriptions


Requirements
- Passionate about turning theoretical ideas into workable solutions
- MS (PhD preferred) in Machine Learning, Computer Science, Statistics, Applied Mathematics or in another highly quantitative field (Information Retrieval/Natural Language Processing/Semantic Web)
- Hands-on experience in deep learning, predictive modeling and analysis
- Ability to distill problem definitions, models and constraints from informal business requirements, and to deal with ambiguity and competing objectives
- Not afraid to explore and learn relevant programming and IT tools
- You ideally have skills in some of the following areas:
- Spark, pyspark, MLlib, Tensorflow, Hive, Hadoop
- Big Data processing
- Machine learning algorithms
- Data reduction and feature selection techniques
- Comfortable using the AWS or GCP environment
- An excellent academic record in mathematical and/or computer science disciplines.
- Strong knowledge in ElasticSerach, SQL, MongoDB and Graph databases
- Skills in Web-mining/LinkedData methods
- Communication, problem solver, team player, enthusiastic, Data driven
Benefits


- Ownership. Everyone gets stock options.
- Learning. Dedicated learning time every week, with budgets for resources, books and conferences
- Wellness. Gym discounts, coffee and whatever you need to keep you at your best
- [Insert other generic startup perks]. Yes we have those... but what's more important are the three points above. A team that gets shit done, and has more fun doing it. More than any ping pong tournament (although we do get competitive at that too)
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Private healthcare

Pension

Share options plan (we want everyone to be an owner)

Unlimited holidays

Discounted gym membership

+2 more

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