Job Description :
Job Title: Data Scientist

Location: NYC NY

Terms: CTH

Duration: 6 Months

10+ years of experience

You will probably have a PhD/Masters in a STEM subject, and have used machine learning either commercially, during your PhD/Masters, or for self-study. You may have completed Coursera courses or Kaggle competitions. Our preferred tech stack (though this is very client driven) is Python (NumPy, Scikit-Learn, Matplotlib, Pandas) and some variety of SQL. The most important thing is that you''re a fast learner, and you have that scientific curiosity to understand data, and desire to create experiments.
General concepts we would expect you to be familiar with:
Agile software development
Regression vs Classification vs Clustering
Decision Trees
Neural Networks
Logistic regressions
Statistics and Probability
Monte Carlo
OO Programming
Feature engineering
Big data/cloud experience is a plus but not mandatory.

Our client was founded in 1993 and has primary offices in London & New York City. They are strategic delivery partners offering software development services to some of the world''s leading organizations in sectors which include Financial Services, Commodities, Government, Healthcare, Technology and Media and Retail.

Their clients like working with them because they deliver. Their absolute delivery focus is core to their proposition & a key attribute of their people. They have established a reputation for delivery, technical excellence & straight-talking. This reputation is a consequence of a culture that values ability, integrity & a passion for service delivery.

What we''re looking for
The Data Science team work with clients to shape and form data strategies and solutions, test out innovative ideas quickly and efficiently and ultimately help clients realize value through their data.
The data scientists work with other disciplines from Cloud Architects to Software Engineers to build scalable Enterprise solutions. Candidates must have successfully performed a Data Science role either in house or at a leading consultancy.

Sector background is less important than having deep experience in statistical analysis, data wrangling and exploration, big data technology, helping clients (either internally or externally) deliver significant value through data exploitation and having a can-do, positive attitude. The most important thing is being a problem solver who is interested in understanding data, and can think through how to create, structure, and deploy data experiments.

Some examples of the project work that we have done:
Product recommendation for a leading retailer, in AWS using PySpark.
Forecasting review for a leading retailer.
Fraud detection for a motoring authority using AWS and PySpark.
Forecasting platform for a global commodities trader in R and Hadoop.
Live out of stock detection for leading retailer using AWS.
Engagement Types
Our Client works with a range of consulting activities across verticals: financial services, commodities, government, retail, healthcare and media.

Advisory - You will provide advice to our clients that helps them clarify the challenges and opportunities that Data Science brings by exploiting the many sources of data directly and indirectly available to them. A key part of this role is also the ability to prioritize based on cost-benefit analyses which may only have loosely defined numbers. As part of this, you will be expected to build and maintain a good level of wider knowledge that may be relevant to our clients. A lot of the work you are likely to undertake will be ''first evers'' in industry, and being able to plan out potential roadmaps for these from early stage advisory to delivering full production systems is crucial.

Innovation - Innovation is the key to future success, especially in the rapidly changing digital world. You will work with internal and client teams to shape innovative solutions that deliver valuable insight and new business opportunities.
You will draw on the skills and experience from across our clients 650+ staff as each problem demands.
You will own and be involved in:
Innovation Days.
The delivery of Minimum Viable Products.
Rapid Prototyping.
Art of the Possible.
Business Development
As well as delivering consultancy services you will also undertake business development activities.
This includes:
Writing and publishing thought leadership articles.
Speaking at conferences
Speaking at client events.
Analyst Briefings.
Writing articles for LinkedIn, blogs, publications, etc.
Client meetings with practice leads and account managers to explore opportunities.
Free of Charge work to help practice leads and account managers establish new business.
Running workshops for clients on key areas including innovation, data analytics, mobile, customer journey, etc.