Senior Data Scientist

Overview:
As a Senior Data Scientist, you will play a critical role in advancing our data science capabilities and influencing strategic decisions. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve our products and drive business growth.

Responsibility and Duties:

Data Analysis and Exploration:

• Analyze large, complex datasets to identify trends, patterns, and insights that can drive business strategy.
• Utilize statistical techniques and data visualization tools to communicate findings effectively.

Machine Learning Model Development:

• Develop and implement advanced machine learning models for predictive analytics, recommendation systems, and other applications.
• Evaluate and optimize model performance to ensure accuracy and scalability.

Data Preprocessing and Cleaning:

• Clean, preprocess, and transform data as needed to ensure data quality and usability for analysis and modeling.

Feature Engineering:

• Identify relevant features and variables for model training and feature selection.

Collaboration and Cross-functional Support:

• Collaborate with cross-functional teams, including engineers, product managers, and analysts, to integrate data-driven insights into product development and business strategies.
• Provide guidance and mentorship to team members interested in pursuing a career in data science.

Data Governance and Compliance:

• Ensure compliance with data privacy regulations and best practices in data handling and storage.

Model Deployment and Monitoring:

• Assist in deploying machine learning models into production and monitor their performance over time.

Experience / Skills:

• A demonstrated track record of at least 5 years in data science and machine learning.
• Proficiency in programming languages like Python or R.
  
• Extensive expertise in machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• SQL expertise for data extraction and analysis.
• Strong skills in data preprocessing, feature engineering, and data cleaning.
• Communication and collaboration skills.
• The capacity to work independently and lead data science initiatives.
• Proficiency in the English language for effective communication and documentation.
  

Good To Have:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
• Knowledge of natural language processing (NLP) and deep learning.
• Previous exposure to A/B testing and experimentation.
• Expertise in data visualization tools (e.g., Matplotlib, Tableau).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Education :

Degree in Computer Science, Statistics, Data Science, or a related field.

Some Benefits:

• Dental and Health plan (Bradesco)- No co-pay
• VR / VA above market pay
• TotalPass
• Variable pay can happen according to the company results
• Flexible time
• Day off on your Birthday
• + Other benefits, included on our Total annual comp package.Flexible time, horizontal structure, great benefits & total reward package, and fun culture :)