As a Data Scientist, you will design, develop, deploy predictive models machine learning solutions to solve complex business challenges. You’ll collaborate with data engineers, business analysts, clients to translate requirements scalable data products, from concept to production.
This role is ideal fsomeone passionate about statistical modelling, machine learning, deriving actionable insights from large datasets.
Key Responsibilities
1. Develop robust data models conduct feature engineering to improve model performance
2. Perform exploratory data analysis (EDA) to uncover patterns, trends, insights
3. Collaborate with data engineers to build optimize data pipelines fmodel training inference
4. Evaluate model performance using appropriate metrics validation techniques
5. Deploy models production environments in collaboration with ML engineers DevOps teams
6. Communicate findings recommendations to technical non-technical stakeholders through visualizations reports
7. Stay up to date with emerging trends in AI/ML apply best practices in model interpretability, fairness, MLOps
Requirements
1. Bachelor’s Master’s degree in Data Science, Computer Science, Statistics, Mathematics, a related field
2. 3+ years of experience in data science machine learning roles
Strong proficiency in Python (e.g., pandas, scikit-learn, NumPy, statsmodels)
3. Experience with data modelling, feature engineering, statistical analysis
4. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow) cloud platforms (AWS, GCP, Azure)
5. Knowledge of SQL database systems
6. Experience with version control (Git) collaborative development workflows
7. Strong analytical thinking problem-solving skills