About the Role:

We are looking for an experienced Data Scientist with 5 - 10 years of hands-on experience in Dataiku, Python, SQL, and AWS. The ideal candidate will be responsible for developing data-driven solutions, building analytical and machine learning models, and leveraging Dataiku and AWS to solve complex business problems.

Key Responsibilities:

- Develop, implement, and deploy data science and machine learning solutions using Dataiku and Python.

- Perform data exploration, cleaning, transformation, and feature engineering using large and diverse datasets.

- Build, train, validate, and optimize statistical and machine learning models.

- Use Dataiku for data preparation, analytics, model development, deployment, and monitoring.

- Write complex SQL queries for data extraction, analysis, and transformation.

- Leverage AWS cloud services to develop and deploy scalable data science solutions.

- Analyze business requirements and translate them into data-driven solutions.

- Evaluate model performance and continuously improve model accuracy and reliability.

- Collaborate with Data Engineers, Business Analysts, Product Managers, and other stakeholders.

- Create dashboards, reports, and visualizations to communicate insights effectively.

- Ensure data quality, model governance, and adherence to security and compliance standards.

- Document methodologies, models, experiments, and analytical findings.

- Stay updated with emerging technologies and best practices in data science, machine learning, and cloud analytics.

Required Skills:

- 5 - 10 years of professional experience in Data Science / Machine Learning.

- Strong hands-on experience with Dataiku.

- Strong programming skills in Python.

- Advanced knowledge of SQL and relational databases.

- Hands-on experience with AWS cloud services.

- Strong understanding of statistics, machine learning algorithms, and predictive modeling.

- Experience with data preprocessing, feature engineering, model validation, and optimization.

- Ability to work with large datasets and solve complex analytical problems.

- Strong analytical, problem-solving, and communication skills.

- Ability to work effectively in a hybrid work environment and collaborate with distributed teams.