Jeeny, a leading ride-hailing platform in the Middle East, is seeking a Data Scientist to join our growing team in Lahore. As a Data Scientist at Jeeny, you will leverage your expertise in machine learning, statistical analysis, and programming to drive data-driven solutions that enhance user experience and promote business growth. This is an exciting opportunity to work at the forefront of innovation in the transportation and mobility sector. Join us in transforming the way people move!
Responsibilities
- Data Analysis:
- Analyze structured and unstructured data to uncover patterns, trends, and insights that inform business decisions.
- Perform exploratory data analysis (EDA) to understand the data distributions and relationships, identifying potential trends and outliers.
- Predictive Modeling:
- Build, train, and evaluate predictive and prescriptive models using various machine learning algorithms.
- Conduct model optimization through hyperparameter tuning, feature engineering, and performance metrics.
- Data Pipeline:
- Ensure the quality and integrity of the data throughout the analysis pipeline to maintain reliable and valid results.
- Model Deployment:
- Deploy machine learning models into production environments, and monitor their performance and ongoing improvements over time.
- Business Collaboration:
- Collaborate closely with the product and business teams to understand objectives and translate them into actionable data solutions.
- Provide clear, concise recommendations to business stakeholders based on your analysis.
- Experimentation:
- Design and conduct experiments, such as A/B testing, to assess the impact of various business strategies and product features.
- Reporting & Presentation:
- Present technical findings to non-technical stakeholders in a clear and understandable manner, driving decision-making with your insights.
- Cross-functional Liaison:
- Work with designated teams to identify key deliverables and optimize business processes.
- Commercial Awareness:
- Apply your understanding of complex data and business strategies to provide practical, data-driven recommendations.
Qualifications
- Experience:
- 3+ years of experience in data science, machine learning, or related fields, with hands-on experience working with structured and unstructured data.
- Technical Skills:
- Proficient in programming languages like Python or R.
- Strong knowledge of machine learning algorithms, techniques, and statistical modeling.
- Experience with large language models (LLM) and LangChain.
- Familiar with cloud platforms such as AWS, Google Cloud, Snowflake, Hadoop, or Azure.
- Understanding of containerization tools like Docker and Kubernetes.
- Basic familiarity with data visualization tools like Tableau or Power BI.
- Statistical Knowledge:
- Knowledge of hypothesis testing, regression, probability distributions, and other advanced statistical techniques.
- Soft Skills:
- Excellent problem-solving skills and ability to troubleshoot and resolve issues.
- Strong interpersonal skills, able to communicate complex data concepts to both technical and non-technical stakeholders.
- Analytical thinking, with the ability to interpret complex datasets and transform them into actionable insights.
- Additional Preferences:
- Familiarity with big data technologies.
- Previous experience in the mobility or ride-hailing industry is a plus (discuss during the interview).
Benefits
- Competitive Salary:
- Attractive market-driven salary based on experience and skills.
- Growth & Learning:
- Ample opportunities for career development, mentorship, and continuous learning in a rapidly growing company.
- Comprehensive Benefits:
- Health benefits, including medical coverage.
- Life insurance for peace of mind.
- Gratuity and pension benefits to secure your future.
- Performance Bonuses:
- Dollar-adjusted bonus policy to reward outstanding contributions and performance.
- Work Benefits:
- Internet allowance and fuel allowance to support your daily work-related needs.
- Learning Assistance:
- Financial support for professional certifications or advanced learning opportunities.
Company Culture
Jeeny promotes a work environment that is supportive, inclusive, and dedicated to employee development. We are an equal-opportunity employer, welcoming applicants from all backgrounds and experiences. We value diversity and foster a workplace where all individuals have the opportunity to grow and succeed, regardless of race, gender, ethnicity, or physical abilities.
Application Instructions
Interested candidates are invited to apply for the Data Scientist position at Jeeny. Please submit your CV to Email Address with the subject line “Data Scientist Application”. Make sure to include:
- Relevant work experience.
- Any certifications or skills that demonstrate your expertise in data science and machine learning.
- Portfolio or relevant projects showcasing your past work in data analysis (if available).
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