VSOL is a digital enabler with a mission to help public and private organizations evolve their businesses through data and technology. We provide an end-to-end service from consulting to execution that drives the growth and innovation of our clients. As VSOL is in a phase of rapid expansion, we offer a dynamic, creative environment that accelerates your personal and professional development. We are looking for talented individuals eager to develop in international markets while contributing to the company’s future in a constructive and supportive manner.

Responsibilities:

  • Provide strategic recommendations to leadership based on data-driven evidence.
  • Conduct deep exploratory data analysis to uncover patterns, trends, and actionable insights.
  • Architect robust data pipelines and ML infrastructure to support production grade solutions.
  • Build and validate predictive models, forecasting systems, classification algorithms and advanced analytics solutions.
  • Develop customer segmentation, propensity models, and recommendation frameworks.
  • Perform feature engineering and selection to improve model performance.
  • Write clean, reproducible, and well-documented code for analysis and modeling.
  • Collaborate with data engineers to ensure data quality and pipeline reliability.
  • Communicate complex technical concepts and findings to executive stakeholders.
  • Troubleshoot and resolve production issues related to deployed models.

Requirements

  • Bachelor’s degree in computer science, AI, Machine Learning, or related field.
  • More than 4 years of experience in data science, analytics, or applied statistics.
  • Proven track record of delivering insights that influenced business strategy.
  • Experience designing and analyzing experiments at scale.
  • Expert proficiency in Python or R for statistical analysis and modeling.
  • Strong SQL skills for data extraction and manipulation.
  • Deep knowledge of statistical methods (regression, hypothesis testing, Bayesian inference, time series analysis).
  • Experience with machine learning algorithms (supervised, unsupervised, ensemble methods).
  • Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI).
  • Solid understanding of experimental design, A/B testing, and causal inference.
  • Strong foundation in experimental design, causal inference, and A/B testing methodologies.
  • Experience with at least one cloud platform (AWS, Azure, or GCP).
  • Excellent communication skills with the ability to influence technical and nontechnical stakeholders.
  • Strong ownership mentality with the ability to drive initiatives independently
  • Comfortable navigating ambiguity and adapting to changing priorities.

Preferred Qualifications

  • Experience with MLOps tools and practices (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
  • Familiarity with deep learning architectures (transformers, CNNs, RNNs) and
  • NLP techniques.
  • Experience with big data technologies (Spark, Databricks).
  • Knowledge of LLMs and generative AI applications.
  • Publications or patents in relevant fields.
  • Domain expertise in (industry: e.g., fintech, healthcare, e-commerce).

Why you’ll love working here

  • Working in start-up environment, English-speaking, with opportunity to be part of innovation team and global projects.
  • Onsite opportunities in UAE (United Arab Emirates) and KSA (Kingdom of Saudi Arabia).
  • 13th-month salary, performance bonus
  • Premium Health insurance for employees and family members (depending on level), Annual Health Check, Government Insurance in probation
  • 14++ days of Annual leave and 5 days of Outing leave
  • Lunch allowance and free parking
  • Taxi & phone allowance (depending on level)

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