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.
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Key Responsibilities
- Identifying relevant data sources for business needs.
- Processing, cleansing, and organizing data into usable formats.
- Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends.
- Apply data mining techniques such as association rule discovery, classification, and clustering.
- Conduct thorough exploratory data analysis (EDA) to understand underlying patterns, correlations, and anomalies in complex datasets.
- Transform and preprocess raw data to create meaningful features that can improve model performance.
- Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
- Communicate complex data findings in a clear and concise manner to non-technical stakeholders.
- Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
- Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
- Proficient in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
- Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
- Build 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.
- 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.
- Alteryx or Dataiku experience is a must.
- MLOps experience is a plus.
- Practical knowledge of big data systems is a plus.
Location
Riyadh, Riyadh Province, Saudi Arabia
Additional Information
BU: Data Intelligence
Senior Level
