Data Scientist

Job requirements:

Collect, clean, and preprocess structured and unstructured data from multiple sources

Perform exploratory data analysis (EDA) to identify trends and patterns

Develop, validate, and deploy machine learning and predictive models

Design and implement data pipelines and automation workflows

Translate business problems into analytical solutions

Collaborate with cross-functional teams including engineering, product, operations, and leadership

Communicate findings through reports, dashboards, and data visualizations

Monitor model performance and continuously improve algorithms

Ensure data integrity, quality, security, and governance compliance

Qualifications & skills:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

2+ years of experience in data analysis, machine learning, or related role

Strong programming skills in Python or R

Proficiency in SQL and working with relational databases

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)

Strong understanding of statistics and probability

Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)

Familiarity with cloud platforms (AWS, Azure, or GCP)

Knowledge of big data tools such as Spark or Hadoop

Understanding of MLOps concepts and model deployment processes

Strong analytical thinking and problem-solving skills

Excellent communication skills

Ability to work independently and collaboratively

Benefits:

Social and medical insurance

Learning and development opportunities

Annual profit share