Key Skills
Python Programming, AWS, Machine learning techniques, Deep Learning, Keras software library, Tableau, TensorFlow, Docker, MySQL, Pentaho, Data Engineering, Data pipelines, Data Architecture, Large data sets
Job Description
Spearline India Private Limited is a subsidiary of Spearline, is one of Ireland’s fastest growing tech companies (Deloitte Fast award winners for 8 consecutive years) and the world’s largest toll and toll-free number testing provider.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion / belief, sexual orientation or age.
Position
Role:
At Spearline, we are in the process of increasing our new Data Science team. Reporting to the Data Science Team lead, we are seeking an experienced Data Scientist who will be able to conduct statistical analysis, create insights and build predictive models for a variety of performance outcomes. You should be comfortable working in a collaborative environment, as well as working independently and taking initiative.
Responsibilities:
As a data scientist, you'll need to:
- Work closely with teams across our business to identify issues and use data to propose solutions for effective decision making
- Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
- Use machine/deep learning tools and statistical techniques to produce solutions to problems
- Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Stay up to date with the latest technology, techniques and methods
- Conduct research from which you'll develop prototypes and proof of concepts
- Look for opportunities to use insights/datasets/code/models across other functions in the organisation
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
Requirements
- Minimum bachelor's degree in a computer science, mathematical or science-based subject.
- At least 2 years of proven experience building and delivering data science driven solutions
- Excellent analytical and problem-solving skills
- Strong foundation in Machine/Deep Learning and statistical analysis
- Good software engineering fundamentals
- Strong knowledge of Python, MySQL
- Knowledge of GIT, Docker and AWS distinct advantage
- Proficiency with a deep learning framework such as TensorFlow or Keras
- Familiarity with REST APIs (e.g Flask)
- Familiarity with Linux
- Team Working skills and a collaborative approach to sharing ideas and finding solutions
- Exceptional communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis
Other information
What we offer:
- Paid Maternity, Paternity and Adoptive Leave
- Flexible working
- Competitive salary
- Continuous learning and development
- Sports and Social
- Medical Insurance
- Hybrid Model
Company Info.
Spearline
Spearline proactively monitors toll and toll-free numbers globally, optimizing customer experience and communications leading to business growth.
We enable large enterprises and telecommunications service providers to test connectivity and quality on their global telecoms network.
With a growing global network, the data gathered by the Spearline Platform allows companies to greatly reduce downtime and improve their customer experience.
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