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DATA SCIENTIST
Job Location:
Monthly Salary:
Experience Required:
Posted:
17 October 2026 (2 days ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Summary
We are seeking a skilled Data Scientist to join our IT Services division where you will play a pivotal role in transforming complex data into actionable business insights. This position is central to driving strategic decision-making through advanced statistical analysis and machine learning applications. The ideal candidate will leverage their expertise to build robust predictive models ensuring our data infrastructure supports high-level operational efficiency and innovation.
Responsibilities
- Design and implement advanced statistical models and machine learning algorithms to solve complex business challenges.
- Perform comprehensive data preprocessing and exploratory data analysis (EDA) to uncover hidden patterns and trends.
- Develop intuitive and impactful data visualizations to communicate findings effectively to stakeholders.
- Continuously monitor and optimize model performance to ensure accuracy and reliability in production environments.
- Apply strong problem-solving and analytical thinking skills to interpret data and propose strategic solutions.
- Utilize Python programming to build scalable data pipelines and analytical tools.
Requirements
Requirements:
- Possess 3 to 6 years of professional experience in data science or a related analytical field.
- Demonstrate proficiency in Python programming and a solid understanding of statistics and probability.
- Show proven expertise in machine learning techniques and statistical modeling.
- Have a strong track record in data preprocessing exploratory data analysis and creating data visualizations.
- Exhibit exceptional problem-solving abilities and a keen analytical mindset.
- Be capable of optimizing model performance to meet specific business objectives.
Compensation
- Salary Range: 20-21 LPA
Required Skills:
PRIMARY SKILLS Python Programming Statistics & Probability Machine Learning Feature Engineering Model Training & Evaluation SECONDARY SKILLS Data Preprocessing & Exploratory Data Analysis (EDA) Model Performance Optimization Statistical Modelling Data Visualization Problem-Solving & Analytical Thinking
Required Education:
Bachelors degree in computer science Engineering or related field
