Senior Data Scientist at Synapse Analytics

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, MATLAB, Julia, Pandas, Dplyr, Exploratory Data Analysis, Seaborn, Matplotlib, Plotly, Ggplot, Tableau, Machine Learning, K-Nearest Neighbors, Naive Bayes, Support Vector Machines

Industry

Software Development

Description

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques and business strategies Build, optimize and maintain machine learning models Assess “health” of new data sources and soundness of data gathering techniques employed by the client Process, clean, and verify the integrity of data used for analysis Perform ad-hoc analysis and present results in a clear manner • Experience in one or more of the following programming languages: Python, R, MATLAB, Julia • Experience in data wrangling of (messy) datasets using pandas or dplyr • Experience in exploratory data analysis • Experience in data visualization using one or more of the following packages/tools: seaborn, matplotlib, plotly, ggplot, Tableau • Knowledge of machine learning techniques and algorithms such as K-nearest neighbors, naive bayes, support vector machines, random forest, logistic regression, etc. • Awareness of machine learning concepts such as over-fitting and under-fitting, the difference between bias and variance, generalization capability of the prediction model to unseen data, feature engineering, etc. • Excellent written and verbal communication skills for coordinating across teams • A drive to learn and master new technologies and techniques Bonus Points • A Masters or PhD degree in a relevant discipline • Data engineering experience; e.g., SQL, Hadoop, Spark, cloud computing • Competitive programming experience (e.g., ACM, Topcoder, Code Forces, etc.) • Experience participating in machine learning competitions (e.g., Kaggle, Hacker Earth, etc.) • Strong statistics background • An up-to-date portfolio (on GitHub?) showing your experience in all of the above!

Responsibilities

The role involves collaborating with stakeholders to identify business solutions using company data, and mining client databases to drive optimization in product development, marketing, and business strategies. This includes building, optimizing, and maintaining machine learning models while assessing data source health and gathering techniques.