Senior Data Scientist

Devoteam International; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist/Machine Learning Engineer to drive impactful insights through advanced data-driven algorithms. This role involves collaborating with cross-functional teams to identify business opportunities, developing predictive models, and leveraging machine learning techniques to uncover hidden patterns in data. The ideal candidate will have a strong background in programming languages like Python or R, and experience with data manipulation and machine learning algorithms. Join a forward-thinking company that values continuous improvement and offers a dynamic work environment where your contributions will significantly impact business success.

Qualifications

• 7+ years of experience in data science with strong SQL and machine learning skills.
• Expertise in Python or R for data manipulation and model development.

Responsibilities

• Develop and optimize data-driven algorithms for business insights.
• Conduct exploratory data analysis and communicate findings effectively.

Skills

Python

R

SQL

Machine Learning

Statistical Analysis

Data Manipulation

Analytical Skills

Problem-Solving

Communication Skills

Education

Bachelor's degree in Computer Engineering

Equivalent degree in IT

Tools

Alteryx

Dataiku

Job description

Bachelor of Technology/Engineering (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

As a Senior Data Scientist/Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success.

Key Responsibilities:

• Identifying relevant data sources for business needs.
• Processing, cleansing, and organizing data into usable formats.
• Conducting in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends.
• Applying data mining techniques such as association rule discovery, classification, and clustering.
• Conducting thorough exploratory data analysis (EDA) to understand underlying patterns, correlations, and anomalies in complex datasets.
• Transforming and preprocessing raw data to create meaningful features that can improve model performance.
• Developing, evaluating, and deploying predictive machine learning models to drive actionable insights.
• Communicating complex data findings in a clear and concise manner to non-technical stakeholders.
• Staying up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
• Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
• Data Manipulation: Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
• Machine Learning Expertise: Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
• Building conversational AI applications.

Qualifications:

• Bachelor's degree in Computer Engineering, IT, or equivalent.
• 7+ years of experience within the data science field.
• Strong knowledge and proven experience in SQL, statistics, machine learning, and programming.
• Strong expertise in various supervised and unsupervised machine learning algorithms such as time series forecasting, regression, clustering, classification, and deep learning methods.
• Experience working with Agile methodologies.
• Ability to communicate with both technical and non-technical audiences.
• Excellent English and Arabic communication skills (written & spoken).
• Analytical mindset and problem-solving skills.
• Experience with Alteryx or Dataiku is a must.
• MLOps experience is a plus.
• Practical knowledge of big data systems is a plus.