We’re looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value.

Main Responsibilities:

• Develop analytical and machine learning models that drive business value.

• Conduct Exploratory Data Analysis (EDA) and perform feature engineering.

• Evaluate and tune supervised and unsupervised ML models.

• Utilize ML experimentation tools to streamline processes.

• Create visualizations to communicate insights and support decision-making.

• Collaborate across different data teams to ensure integration and consistency.

Key Requirements:

• Strong knowledge of Python, including libraries such as NumPy, pandas, and scikit-learn.

• Experience in Exploratory Data Analysis (EDA) and feature engineering.

• Solid foundation in statistics and probability.

• Proven experience with supervised and unsupervised ML models.

• Proficient in SQL for data analysis.

• Understanding of model evaluation and validation strategies.

• Familiarity with cloud ML platforms like Azure ML and AWS SageMaker.

• Experienced in data visualization using tools like Matplotlib and Tableau.

• Knowledge of MLOps fundamentals.

• Exceptional analytical thinking and problem-solving capabilities.

Other Details:

Needs to go to the office 2 times a week.