Job Detail

Data Scientist - Allsopp & Allsopp Recruitment

Date Posted: Feb 09, 2022

Note: This job is sourced from Zoho Recruit jobs api provider. Jobs-nation takes no responsibility we are just a search data provider.

Job Detail

Location:

Dubai , UAE
Company:

Allsopp & Allsopp Recruitment
Type:

Full Time/Permanent
Shift:

First Shift (Day)
Career Level:

NA
Positions:

1
Experience:

4-5 years
Gender:

No Preference
Degree:

NA
Apply Before:

Dec 01, 2022

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Job Description

As a Data Scientist, you have built a strong track record of delivering business impact in several applications. You would happy to implement a simple heuristic or a sophisticated deep learning or reinforcement learning model if it meets the business needs and the time constraints. Business use cases would involve both supervised and unsupervised learning techniques dealing with pricing, Marketing, customer segmentation and fraud detection.

Implement scalable machine learning and optimization algorithms that will be used in production on big data.
Evaluate the performance of the data science projects
Should be able to deploy the production ready solution in MLOps frameworks

Requirements

3-5 years experience in data mining, predictive modeling, time series analysis, machine learning, big data methodologies, transformation and cleaning of both structured and unstructured data.
Experience in applied Deep Learning is a plus.
Degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science
Strong problem solving and coding skills (Python or R)
Excellent oral and written communication skills.
Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark
Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
Basic understanding of working on cloud based environment
Familiarity with MLOps framework is a plus (Kubeflow, MetaFlow, Iguazio)
Familiarity with Operation Research is a plus (Gurobi, Baron, Linear Programming, MILP)