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» Job Vacancy

Snr Data Scientist - Manchester


Hours: Full Time
Contract: Permanent
Start: ASAP
Pay Maximum: £90000
Pay Minimum: £90000
Pay Period: A Year
Category: I.T. & Communications, Other
Location: Manchester, Manchester, United Kingdom

Feb 08th
days old


views


applied




Description
Snr Data Scientist - Manchester

90k basic

My client is a new well-funded start-up company that has decided to make a difference in this world by designing information products for children suffering from diabetes and they are looking for a Snr Data Scientist to join them on this fantastic rewarding journey.

To help them achieve their goals they will need to have an excellent team of developers, data scientists, service designers, AI specialists and more to create friendly passionate teams to build and strategise for the future.

This is a role where you will make a difference to the community and build a medical information product that will be innovative in this poorly informed space.

The Detail

We are looking for a Senior Data Scientist to lead a small team. You will play a key role in ensuring that the business has the right product at the right price for our customers and will interface with a broad area of the business to do achieve this including our Buying, Merchandising, Marketing and Technology departments. You will be part of a highly innovative team working on interesting and difficult problems, leveraging cutting edge technology to build products that will shape the way we do business. The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, a bias towards action and attention to detail.

The Role

Key responsibilities will entail

- Analyse large, complex datasets to reveal underlying patterns, correlations and trends.
- Drive development of machine learning techniques to model product demand based on customer behavioural and preference segments.
- Create prototypes for predicting appropriate full and sale price for new products and turn machine-learning outputs into operational data products.
- Time series analysis on product sales and conversion.
- Design, set-up and conduct large-scale experiments to test hypotheses and drive product development.
- Research and leverage new machine learning methodologies to improve current products and influence the future roadmap.
- Leverage quantitative techniques to answer non-routine business problems.
- Mentor other Data Scientists, Analysts and Data Engineers to implement statistical analyses and data pipelines.
- Educate other Analysts and business team members to expand impact to additional products or business units.
- Act as lead on cross team projects involving multiple stakeholders.


Must haves:

- Solid previous experience in solving large analytical problems using statistical, machine learning or other quantitative methods (e.g. supervised/unsupervised learning, graphical models, time series analysis, statistical testing).
- Degree or equivalent in Engineering, Mathematics, Physics, Computer Science or similar quantitative discipline.
- Equally comfortable with implementing algorithms as well as performing ad-hoc analysis and deriving insights.
- Solid programming skills. Expert in at least one of Scala, Python, R, C/C++, C# or Java.
- Experience with Unix-based operating systems, shell programming and versioning control systems (preferably Git).
- Excellent team working attitude with the ability to work proactively under own initiative in a fast paced environment.
- Experience leading and growing a high performing team.
- Ability to present and visualize data outputs and communicate results to non-technical audiences.
- Comfortable manipulating relational data (joins, filtering, selection) and experience with database technologies


Nice to haves:

- A hackers mentality and comfort using open source technologies
- Experience working with large datasets, cloud computing (Azure, AWS), the Hadoop ecosystem (Pig, Hive, MapReduc
Company
Company: Additional Resources Ltd
Contact: Paul

Further Information
Reference: PCO/AR/050301/22226810
Posted: 08 Feb 2019, 15:05








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