Data Scientist

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. Nice to Have: • Experience with model registry and deployment lifecycle in MLOps. • Familiarity with BI tools for enhanced data visualization. • Ability to adapt to new project requirements and data. • Proficient communication skills for diverse audiences. Other Details: Needs to go to the office 2 times a week.