Data Scientist

At Kalibri Labs, we are helping to redefine and rebuild the way performance metrics are viewed in the hotel industry. We are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo. We are working on cutting-edge solutions for the industry as they navigate the recovery process. We are using our big data coupled with machine learning and AI to help highlight the path forward. Kalibri Labs is growing, so if you’re ready to make a difference and utilize your talents across a groundbreaking organization, please keep reading!

Job Overview

Kalibri Labs is looking for a Data Scientist who will support our product development with insights gained from analyzing company data. The 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 large-scale problems with clearly defined requirements and success metrics that require algorithmic development and deployment, data cleansing and preparation, model selection, and feature-importance testing. The individual is comfortable describing solutions and findings to senior members of the Data Science team and individual stakeholders within the broader technology team. The Data Scientist must write clean, performant, reusable code to perform repeatable analyses and to train and tune models to maximize accuracy and efficiency.

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 for Data Scientist

• 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.

• Develop processes and tools to continuously monitor and analyze model performance and accuracy.

• Owns quality of the entire your deployed code base, helping to define code review standards and processes for the team

• Participate in discussions with other Data Science team members about model and package training and share new advancements in the Data Science space.

Knowledge Skills and Abilities

• 3+ 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.

• All positions are fully remote.

• We cover 75% of the cost of medical insurance premiums for employees & their dependents with three medical plans through Blue Cross, Blue Shield.

• We cover 75% of the cost of dental and vision insurance premiums for employees & their dependents.

• We provide a 50% 401k match of the first 6% of the employee's contribution (for a max of 3%).

• We also provide $50,000 of life insurance, Long-term disability and an Employee Assistance Program.

• All new hires receive a $250 allowance to help them set up their home office.

Compensation Range: $80K - $120K