8 Data Scientists jobs in Kuwait

• Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets
• Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics
• Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making
• Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R
• Communicate findings and insights to stakeholders, using data visualization and other techniques to present results
• Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies
• Provide guidance and mentorship to junior members of the data science team

• Strong background in statistics, machine learning, and programming
• Experience working with large and complex datasets in the retail and FMCG industry
• Excellent communication and collaboration skills
• Ability to work effectively with cross-functional teams

• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Power BI and IBM Cognos
• Knowledge of machine learning algorithms and techniques
• Familiarity with database management systems and SQL.

• Accountability & Ownership L3
• Analytical Thinking L3
• Business Intelligence L2
• Computer Programming & Coding L2
• Conceptual Thinking L1
• Customer Focus L3
• Drive Performance L1
• Drive Results L1
• Impact & Influence L1
• Initiative L3
• Interpersonal Understanding L3
• Inventory Management L3
• Project Management L3
• Result Orientation L3
• Team Development L1
• Team Leadership L1
• Team Work L3

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• Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets
• Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics
• Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making
• Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R
• Communicate findings and insights to stakeholders, using data visualization and other techniques to present results
• Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies
• Provide guidance and mentorship to junior members of the data science team

Qualifications:

• Strong background in statistics, machine learning, and programming
• Experience working with large and complex datasets in the retail and FMCG industry
• Excellent communication and collaboration skills
• Ability to work effectively with cross-functional teams

Technical Skills:

• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Power BI and IBM Cognos
• Knowledge of machine learning algorithms and techniques
• Familiarity with database management systems and SQL.

We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role – you'll be at the forefront of transforming Atlas Air through the power of data.

In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards – the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.

If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!

• Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
• Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success metrics.
• Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
• Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
• Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
• Extract, transform, and analyze large datasets from various sources.
• Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
• Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
• Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
• Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
• Stay current with emerging techniques and technologies in data science and machine learning.
• Collaborate with data engineering to implement production-ready solutions.
• Monitor model performance and iterate on solutions as needed.
• Establish best practices and methodologies for the data science function.
• Research and implement new methodologies and technologies to improve Atlas Air’s data and AI/ML

Must-Have:

• Master’s degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in a data science or similar analytical role, with a track record of impact.
• Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
• Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
• Strong knowledge of statistical analysis and hypothesis testing.
• Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
• Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
• Proven ability to translate business requirements into technical solutions.
• Proven ability to apply software engineering best practices
• Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.

Nice-to-Have:

• Master’s degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Domain expertise in aviation, transportation, or logistics.
• History of technical leadership on significant data science initiatives.
• Contributions to related research publications and/or open-source projects.
• Experience with big data platforms (e.g., Spark/Databricks).
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
• Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)

Salary Range: $165,000 - $225,000

Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.

The Company is an Equal Opportunity Employer. It isour policyto afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.

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