Data Architect

Job Description – Data Architect- AI/ML

We at Pine Labs are looking for those who share our core belief - “Every Day is Game day”. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.

Role Purpose

We are looking for a highly skilled and motivated Data Architect-AI/ML to join our dynamic growing team. You will work with large payment datasets to uncover actionable insights, build predictive models, and contribute to strategic decision-making across various departments. The ideal candidate will have strong analytical and programming skills, a solid understanding of machine learning algorithms, and the ability to collaborate effectively with cross-functional teams. You will be helping the strategic initiatives which feed insights to Pine Labs merchants, partners and internal consumers.

Responsibilities We Entrust You With

• Analyze and interpret complex financial data to identify trends, patterns, and actionable insights.
• Develop and implement machine learning models for predictive analytics, classification, regression, etc.
• Collaborate with product, engineering, and business teams to define data science requirements and deliver impactful results.
• Clean, pre-process, and transform data to ensure quality and consistency.
• Use data visualization techniques to communicate findings clearly to non-technical stakeholders.
• Contribute to the development and enhancement of data pipelines and workflows.
• Monitor and evaluate model performance, ensuring accuracy and reliability over time.
• Stay updated on the latest advancements in data science and machine learning.

What Matters In This Role

Relevant work experience

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 12-18 years of hands-on experience in artificial intelligence, data science, machine learning, or related fields.
• Proficiency in Python, R, or similar programming languages for data analysis and model development.
• Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering).
• Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, SciPy).
• Experience with data visualization tools (e.g., Tableau, Power BI, superset).
• Experience working with large datasets and performing data cleaning and preprocessing.
• Familiarity with AWS cloud platforms (DMR, Glue, Redshift).
• Strong communication skills and ability to collaborate with cross-functional teams.

Preferred Skills:

• Familiarity with development tools (eg. Jupyter notebook, visualBasic code)
• Experience with SQL databases.
• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with data processing tools (e.g. , Spark).
• Familiarity with version control systems like Git

What We Value In Our People

• You take the shot: You Decide Fast and You Deliver Right
• You are the CEO of what you do: you show ownership and make things happen
• You own tomorrow: by building solutions for the merchants and doing the right thing
• You sign your work like an artist: You seek to learn and take pride in the work you do