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!
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 a 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.
- Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
- Identify and load 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.
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.
*Salary – $120,000 – $140,000 based on experience, background and location
*Eligible to participate in the company bonus program
Company Benefits
- 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.
Git Natural language processing (NLP) CI/CD statistics mathematics data-management Artificial intelligence (AI) Data Science Python recommendation-systems data-warehouse Computer Science data-visualization automated testing BI visualization Communication MLOps deep-learning SQL economics Machine Learning data cleansing Model deployment