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 ResponsibilitiesDevelop 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 RequirementsStrong 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 HaveExperience 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 DetailsNeeds to go to the office 2 times a week.
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