Data Scientist - temporary

Data Scientist - temporary
The Specialist Works, United Kingdom

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Mar 15, 2021
Last Date
Apr 15, 2021
Location(s)

Job Description

Position Title: Data Scientist (NB this is a temporary position for roughly two months)

Key Deliverables

  • Model and write up simple control/treatment studies using our preferred agency method and packages. This process is well understood by our in house data science team and should be quick to pick up after a briefing. We can share Jupyter notebooks which show the process, the write up is to an extent templated in Powerpoint.
  • Develop and demonstrate an approach to showing contribution of advertising investment to a dependant variable such as count of sales or revenue.
    • Some investigation has begun in house so some direction will be offered by our in house team.
    • The problem is two part;

1. Some of the data is deterministically linked to a user identifier, in these cases path or sequence analysis could be used to calculate and apportion value based on converting/non-converting path analysis.

2. The remainder of the regressors can only be linked to the dependent variable by the date of the effect.

  • Techniques considered are multiple linear regression (OLS or similar), or a ML classification model such as Random forest or catboost with Shapley values used for the decomposition, but nothing is set in stone so input would be very welcome. Methods of path analysis are unexplored.
  • Modelling in Python as this is our preferred language
  • The model will ultimately execute in a databricks environment based on data available in a Azure data lake but can be built in Jupyter and ported over when put into production.

Requirements

Experience

  • Python, Jupyter
    • Specifically, Pandas and associated math/data science packages (numpy, matplotlib etc.)
  • Databricks on Azure
  • PowerBI
  • Working knowledge of R and R packages
  • Treatment and control measurement methods
  • Linear and multilinear regression
  • Other standard Machine Learning algorithms
  • Markov chains, or sequence analysis
  • Experience in time-series forecasting methods and models
  • Experience in working with marketing, or media data would be a bonus
  • Experience in working with the CausalImpact or Prophet packages from Google and Facebook would be a bonus

Skills

  • Communicate to technical and non-technical stakeholders
  • Clear and concise writing style
  • Open to share methods and findings with the in-house data science team
  • Working knowledge of Office365 and Microsoft SharePoint/OneDrive
  • Be able to conduct analysis, structure results and write up findings to share via PowerPoint
  • Be able to understand and use bespoke modules and functions

Benefits

  • Hungry in the morning? We have you covered. From cereal to fruit, everything you can think of to keep you fuelled for the day! For FREE! Including free soft drinks throughout the week and a beer trolley every Friday at 4pm
  • A discretionary additional 30 hours is allocated to each employee per annum (Flexible FOF Hours). This benefit provides flexibility around childcare/social life/hobbies etc. Whilst we don't issue extra holiday - you can call in/email and take up to two days holiday without notice (BoB Days).
  • If a member of staff belongs to a gym, health club or belongs to a fitness class/clubs the company will pay via the pay roll 30.00 per month towards the fees. Our employees health is paramount to us so you will also be entitled to (once out of probation) an eye test as well as an annual health screening.
  • The company is passionate about developing and growing our people, so we offer and support individuals development throughout the organisation on tailored development programs.

Our Values

  • Passion. The fuel that gets you out of bed. The urgency to deliver. You just show it and we will know it.
  • Inquisitiveness. Not working but exploring. Accepting change and seeking it. Listening to others who may or may not be weirder than you are.
  • Caring. Goodwill in endless motion. Giving 6-star service with a smile. Supporting the decision (even if you lost the vote).
  • Knowledge. Our specialist way. Playing to your strengths. Knowing when and when not to say ‘so what!’

Job Specification

Job Rewards and Benefits

The Specialist Works

Information Technology and Services - London, United Kingdom
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