Full-Time Senior Data Scientist

Kalibri Labs is looking for a Senior Data Scientist who will support our product development with insights gained from analyzing company data. The Senior Data Scientist has applied expertise in Python, distributed databases, advanced AI/ML modeling, statistical analysis, and data visualization at scale. This individual can deliver high quality solutions against ambiguous, large-scale problems that require algorithmic development and deployment, data cleansing and preparation, model selection, feature importance testing, and operationalization (e.g. MLOps). The individual is an excellent communicator and is comfortable describing solutions and findings to key stakeholders. The Senior Data Scientist must write clean, performant, reusable code to perform repeatable analyses and to train and deploy models to multiple environments. The individual will be a core partner in making strategic data-related decisions by analyzing and manipulating data and building models to assist in the improvement of Kalibri Labs' current products.

We are looking for an energetic team member with a desire to explore, innovate and drive industry disruptive change through next level insights of data analytics built on machine learning systems, modern deep learning techniques, and big data analytics. You'll be working with massive data sets, constructing operational AI/ML models, and communicating key insights to our team of talented designers and engineers to create industry leading products for our clients.

Responsibilities:

• Partner with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Own MLOps workflow and deployments for all Data Science team projects
• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
• Identify, load and pre-process new data sources to improve analytical products.
• Design, test and deploy production ready models.
• Partner with data engineering and analysts to ensure production quality integration into data pipelines.
• Employ predictive modeling, natural language processing and categorization techniques to increase and optimize customer experience and revenue generation.
• Coordinate with development and product functional teams to implement models and monitor outcomes.
• Design and maintain standards surrounding all Data Science testing, ensuring scalable, efficient and well documented environments for members of the team 
• Develop processes and tools to continuously monitor and analyze model performance and accuracy.
• Owns quality of the entire Data Science code base, defining code review standards and process for the team
• Mentor other Data Science team members by giving model and package training and sharing new advancements in the Data Science space.

Knowledge, Skills, and Abilities:

• 5+ years of commercial production experience building and deploying multiple machine learning models (clustering, decision tree learning, artificial neural networks, etc.) for the purposes of classification and prediction.
• Professional experience with python, including python data libraries (numpy, pandas, matplotlib, scikit-learn) with proven ability to employ python for data manipulation, large-scale analytics, and ensemble-based ML development.
• Experience operating in a MLOps model to include git-based vcs, IAC, automated testing, and continuous deployments.
• Experience owning a project across the full lifecycle to include design, development, deployment, and operations.
• SQL expertise in a modern data warehouse following an SQL-based ELT paradigm. Demonstrated ability to prepare data for model development, build BI visualizations, and integrate into data pipelines. 
• Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning.
• Experience with Data Observability and Workflow Platforms for the purpose of continuous quality control and data transformation.
• Master's degree in economics, Mathematics, Statistics, Computer Science, or Data Science.