Senior Data Scientist

Full time at Hays in UAE

Posted on February 7, 2025

Job details

Roles and Responsibilities

1. Data Strategy & Leadership

Project Leadership : Leading data science projects from ideation to deployment. This includes managing project timelines, resources, and ensuring alignment with business goals.
Mentoring & Coaching : Guiding and mentoring junior data scientists and data analysts to help them grow in their roles. This involves providing technical guidance, reviewing work, and offering professional development advice.
Stakeholder Collaboration : Working closely with business stakeholders (e.g., marketing, finance, product teams) to understand their objectives and translate them into data-driven solutions.
Strategic Input : Providing strategic recommendations based on data analysis and insights to help drive business decisions and long-term goals.

2. Advanced Data Analysis & Modeling

Data Preprocessing : Overseeing data collection, cleaning, transformation, and feature engineering to ensure the data is prepared for analysis and modeling.
Machine Learning : Building and deploying machine learning models for tasks such as classification, regression, clustering, or recommendation systems. This includes supervised and unsupervised learning, deep learning, and ensemble methods.
Statistical Analysis : Applying statistical methods to identify patterns, test hypotheses, and validate models. This could include A/B testing, hypothesis testing, and time-series analysis.
Big Data Technologies : Leveraging big data tools and frameworks like Hadoop , Spark , or Google BigQuery to analyze large datasets that cannot be handled by traditional systems.
Model Optimization : Tuning models for better performance by adjusting hyperparameters, experimenting with different algorithms, and applying cross-validation techniques.

3. Data Visualization & Reporting

Data Visualization : Creating clear, intuitive, and interactive visualizations to communicate complex data findings. This can include using tools like Tableau , Power BI , Matplotlib , Seaborn , or Plotly .
Dashboard Development : Designing and maintaining dashboards that track key performance indicators (KPIs) and provide stakeholders with real-time data insights.
Report Generation : Preparing detailed reports and presentations to communicate insights, model results, and business recommendations to both technical and non-technical stakeholders.

4. Advanced Statistical & Mathematical Techniques

Statistical Modeling : Applying advanced statistical techniques (e.g., linear regression, logistic regression, Bayesian analysis, etc.) to interpret data and derive business insights.
Optimization & Simulation : Using optimization techniques (e.g., linear programming, Monte Carlo simulations) for decision-making and resource allocation.
Deep Learning : Designing and implementing deep learning models for more complex tasks like image recognition, natural language processing (NLP), or autonomous systems.

5. Product Development & Deployment

Model Deployment : Overseeing the deployment of machine learning models into production environments and ensuring they are scalable, maintainable, and integrated with other systems (e.g., via AWS , Azure , or Google Cloud platforms).
Model Monitoring & Maintenance : Continuously monitoring the performance of deployed models, troubleshooting issues, and improving models based on new data or feedback.
Collaboration with Engineering Teams : Working closely with data engineers and software developers to implement and scale models into production environments efficiently.

6. Research & Innovation

Staying Current : Keeping up-to-date with the latest developments in data science, machine learning, and AI, and exploring how these advancements can be applied to solve business problems.

Desired Candidate Profile

Technical Skills Required

Proficient throughout the Machine Learning life cycle
End to end development; creation to deployment
Cloud experience; AWS, Azure, GCP
MLOps
Data Engineering pipelines
Software Engineering experience is a bonus; Python or Java

Experience Required

Worked on products that have gone into real settings
Take end to end ownership of all ML features
Be able to implement key machine learning strategies across the business and work with stakeholders effectively
Be able to collaborate, communicate effectively and coordinate end to end delivery

Education Experience

PhD or MSc is highly desirable (STEM; Com Sci, Maths, Statistics, Fin Maths, Physics etc.)

What You'll Get in Return

Visa
Medical benefits + family
Loans and credit facilities available
Yearly Bonus
Relocation allowance (cash)
Return flight tickets yearly
Hotel stay paid for when first arrive in the country

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Senior Data Scientist

Job details

Roles and Responsibilities

Desired Candidate Profile

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Hiring company

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Senior Data Scientist

Job details

Roles and Responsibilities

Desired Candidate Profile

Apply safely

Hiring company

Hays

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