We are seeking a highly creative, analytical, and forward-thinking Data Scientist to help solve complex data challenges within our organization. In this role, you will work with large and diverse datasets, extract meaningful insights, design algorithms, build predictive models, and collaborate with multiple teams to deliver impactful data-driven solutions.

The ideal candidate combines curiosity, technical excellence, and strong communication skills. You should have deep knowledge of mathematics, statistics, and machine learning, and be comfortable building scalable models and automated solutions. A successful candidate will stay updated with the latest tools, technologies, and trends in data science.

Key Responsibilities

Data Collection & Exploration

• Collect, process, and interpret large volumes of data from a wide variety of internal and external sources.
• Perform exploratory data analysis (EDA) to discover patterns, detect anomalies, and identify potential opportunities for optimization.
• Work closely with data engineers and IT teams to ensure seamless access to required datasets.

Modeling & Algorithm Development

• Create advanced mathematical and statistical models aligned with complex business rules and project requirements.
• Develop, train, test, and deploy machine learning models to address predictive or analytical challenges.
• Write scalable, efficient algorithms and select the right models for different business use cases.
• Integrate machine learning models into business applications or production pipelines.

Automation & Process Optimization

• Build automated data pipelines and workflows to streamline repeated processes.
• Optimize, integrate, and automate existing data science workflows and reporting mechanisms.
• Collaborate with engineering teams to ensure that developed models run efficiently in real-world environments.

Research & Problem Solving

• Research and propose innovative approaches to overcome business and data analytics challenges.
• Stay updated with advancements in machine learning, deep learning, AI, data engineering technologies, and statistical methods.
• Experiment with new techniques, tools, and technologies to continuously improve model performance.

Cross-Functional Collaboration

• Attend project meetings with team members, engineers, IT teams, and other stakeholders to discuss requirements and project goals.
• Translate complex mathematical or algorithmic concepts into clear and understandable insights for nontechnical audiences.
• Present findings, models, and recommendations through visualizations, presentations, and reports.
• Act as a bridge between technical and business teams to ensure alignment and clarity.

Required Qualifications & Skills

Educational Background

• Master’s (MSc) or PhD in Applied Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field.

Professional Experience

• Minimum 5+ years of industry experience working as a Data Scientist or in a closely related analytical role.
• Strong background in machine learning, predictive modeling, and algorithm development.

Technical Skills

• Advanced coursework and hands-on experience in machine learning, deep learning, and statistical modeling.
• Expertise with data querying languages such as SQL, as well as statistical or mathematical software (R, SAS, MATLAB, etc.).
• Proficiency with programming languages such as Python, R, or similar languages used for data science.
• Experience working with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
• Strong foundation in statistics, multivariable calculus, linear algebra, and probability theory.
• Ability to design and evaluate models using modern machine learning frameworks.

Soft Skills

• Exceptional analytical and critical thinking abilities.
• Strong creativity and a problem-solving mindset.
• Ability to communicate complex ideas visually and verbally in a simple, understandable way.
• Comfortable working in cross-functional and collaborative environments.
• Strong ability to manage multiple tasks, prioritize, and meet deadlines.

Who Should Apply?

This role is perfect for candidates who:

• Enjoy solving advanced analytical problems.
• Are passionate about machine learning and statistics.
• Can turn complex data into meaningful business insights.
• Thrive in a fast-paced, innovation-driven environment.