Senior Data Scientist
Прямой работодатель PitchMe ( pitchme.co )
Опыт работы от 3 до 5 летот 4 500 до 6 000 $
What is PitchMe?
PitchMe is a London-based HR Tech startup building b2b solutions focused on reengineering the recruitment life cycle and solving the biggest challenges in talent acquisition. Our product applies a data-driven approach to candidate profiling to build the most complete, real-time and dynamic profile of each candidate. We use hundreds of data points to build a true reflection of each person’s experience and enrich clients' candidate databases with up-to-date employment and education history, skills and experience in a matter of seconds. Our mission is to give recruiters the data they need so that they can make the right hires at the perfect time.
Position overview
We are looking for a highly motivated data scientist, who will combine software engineering skills with a strong understanding of data-driven problem-solving to join our team which is driving innovation in hiring, education, and learning. This job is all about coming to grips with the ways to convert big data into measured and validated professional and personal skills. We’re looking for people who have the technical skills and an interest in solving problems like what are the best ways to extract professional skills from GitHub, how to calculate leadership skills based on social media presence or how to process 12.000.000 job postings and load them into Elastic search effectively?
Responsibilities
- Take ownership of the process and work directly to the head of R&D and CTO
- Be responsible for the skills map creation and building the taxonomy of skills
- Implement and optimize existing methodology of big data conversion into measured and validated skills
- Choose applicable tech stack
- Constantly look for new data sources applicable for data extraction for skills assessment purposes
- Plus: transition into machine learning workflow, implements best practices for retraining models as well as monitoring the performance of models in production (MLops)
- Deployment of ML models in production environment
- Collaborate with engineering and product development teams to create requirements for the deployment of new machine learning models
About you
- 3+ years experience in a professional setting
- Experience with NLP problems: NER, sentence embeddings, unsupervised learning, SOTA models
- Proficiency with Python and machine learning frameworks
- Experience with lean/agile development and test-driven development practices preferred
- AWS ecosystem for ML
- Experience with deployment and building APIs
- Experience with OCR, CV models and techniques
What we offer
- Competitive salary + stock option grant
- Work in a remote-friendly environment with a flexible schedule
- Relocation opportunity (Portugal or UK)
- Geo-distributed team of experienced professionals and a collaborative work environment where employees are respected, supported and engaged
- Career development opportunities, including on-the-job training, attendance at international conferences and meetups, and networking