Job ID: 566957795
Job date: 2018-02-07
End Date:
Company : dunnhumby Country : Role : Research Scientist
Job date: 2018-02-07
End Date:
Company : dunnhumby Country : Role : Research Scientist
Job Description:
The Senior Data Scientist role is an integral member of this team and you will be involved in hands on research and development of data driven solutions to real world problems. The work will encompass both improvements to existing products through innovative use of more advanced techniques as well as development of completely new offerings using Big Data tools. Key Responsibilities:
Additional Info:
Based in London dunnhumby uses machine learning and data science approaches to improve customer understanding and help drive our clients’ growth. We focus our leading scientific practitioners in a Global Data Science division focused on generating innovative products and services to deliver sustained competitive advantage for us and our partners. With 100s of millions of weekly data points, collected from our clients, the ways we can generate value by creatively looking at data are vast. At dunnhumby you won't be only a data scientist. You'll be part of a culture that welcomes participation and discussion at all levels. You'll be able to see your impact in what we deliver day-to-day to our clients. What’s it like to work at dunnhumby? Our values underpin every aspect of our culture and are the force that drives us every day; Curiosity, Passion, Courage and Collaboration. As a dunnhumbian you’ll have plenty of learning and development opportunities, and we have a serious commitment to helping you take your career to the next level. We have a flexible health and wellness package offering; Private Healthcare, Denplan, Critical Illness and Life Cover insurances cover We’re passionate about work, but we also understand there’s a whole lot more than that, so we offer flexible working, 25 days holiday per year, plus bank holidays and early finish Friday’s! On top of all of this we also have a Benefits Allowance, Bonus Scheme, Treat Yourself Allowance, Travel and Season Ticket Loans, a Cycle to Work Scheme, we match contributions to your Pension up to 4% and you can take any of your unspent benefits allowance in cash or your pension. [Click Here to Access the Original Job Post]
The Senior Data Scientist role is an integral member of this team and you will be involved in hands on research and development of data driven solutions to real world problems. The work will encompass both improvements to existing products through innovative use of more advanced techniques as well as development of completely new offerings using Big Data tools. Key Responsibilities:
- Research new data modelling, machine learning and data mining techniques for application across functions such as recommender systems, optimisation, pricing , time series forecasting, uplift evaluation and AB testing, Natural Language processing, computer vision, clustering and segmentation.
- Research and evaluate new datasets like clickstream, geo-location, market research, contextual, undertaking data discovery and exploration to identify opportunities to develop strategies and techniques to improve results.
- Leverage state-of-the-art big data tools (such as Hadoop, Spark, Python, R) and techniques to build innovative solutions using appropriate modelling techniques and data sets with a focus on implementation.
- Develop and embed improvements to data science processes, in particular around building, deploying and monitoring.
- Explore different ways for data visualisation with tools like D3.js or Tableau.
- Look creatively at our data challenges and map out the best approaches to tackle them using the state of art machine learning.
Skills, Knowledge & Experience:
General Experience Essential:- Masters or preferably PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, BioInformatics, Physics, Engineering or equivalent field.
- Proven track record of applying advanced statistical models and machine learning algorithms to solve a variety of complex problems
- Experience in data analysis or data mining preferably with Python, R or similar
- Has contributed to large scale programs, undertaking complex analysis, interpreting and presenting back results in a clear and concise manner.
- Experience developing/deploying models in to high capacity production environments
- Experience with retailers’ data would be useful but is not essential.
Skills:
Essential:- In-depth knowledge of at least 1 programming language suitable for data analysis, ideally python or R (in a data science context, either creating propensity models, segmentations or solving complex problems using optimizations techniques) but other languages such as Matlab, Java, Scala, C are welcome too.
- Practical experience in relevant machine learning and data modelling techniques used in supervised problems such as decision trees, Random Forests, Gradient boosted machines, linear/logistic regression, deep learning or unsupervised problems such as clustering and dimensionality reduction.
- Good ability to interpret business requirements, translate into data science problems and deliver high value outputs.
- Ability to work quickly and iterate through trial-and-error, rather than spending an excessive amount of time designing the most robust methodology to deploy at the outset
- Ability to make data tell a story through data presentation / visualisation tools and techniques
- Data manipulation using SQL syntax
- Familiarity with Linux systems
- Spark, Hadoop and cluster technologies.
- Tensorflow and the theano
Personality
Essential:- Passionate about tackling difficult questions and building innovative data services using Big datasets.
- Creative problem solver with an inquisitive nature.
- Drive and discipline to get things done.
- Ability to communicate well and discuss complex topics with both technical and business audiences.
- Keen attention to detail.
- Highly innovative, flexible and self-directed, but also a co-operative team player.
- Ability to demonstrate good commercial awareness.
- Self-sufficient in managing a project from end-to-end with minimal support
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
- Master's Degree in Engineering
Skills :
- Data Mining
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in C
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in R
- SQL
- Statistics
Areas :
Additional Info:
Based in London dunnhumby uses machine learning and data science approaches to improve customer understanding and help drive our clients’ growth. We focus our leading scientific practitioners in a Global Data Science division focused on generating innovative products and services to deliver sustained competitive advantage for us and our partners. With 100s of millions of weekly data points, collected from our clients, the ways we can generate value by creatively looking at data are vast. At dunnhumby you won't be only a data scientist. You'll be part of a culture that welcomes participation and discussion at all levels. You'll be able to see your impact in what we deliver day-to-day to our clients. What’s it like to work at dunnhumby? Our values underpin every aspect of our culture and are the force that drives us every day; Curiosity, Passion, Courage and Collaboration. As a dunnhumbian you’ll have plenty of learning and development opportunities, and we have a serious commitment to helping you take your career to the next level. We have a flexible health and wellness package offering; Private Healthcare, Denplan, Critical Illness and Life Cover insurances cover We’re passionate about work, but we also understand there’s a whole lot more than that, so we offer flexible working, 25 days holiday per year, plus bank holidays and early finish Friday’s! On top of all of this we also have a Benefits Allowance, Bonus Scheme, Treat Yourself Allowance, Travel and Season Ticket Loans, a Cycle to Work Scheme, we match contributions to your Pension up to 4% and you can take any of your unspent benefits allowance in cash or your pension. [Click Here to Access the Original Job Post]