LodgeLink
Overview
We are hiring for a Sr. Data Scientist in our Scottsdale, Arizona location. As a Data Scientist, you will work closely with product managers, engineers, and business stakeholders to develop and deploy data-driven solutions. You’ll analyze large datasets, build predictive models, and help drive strategic decision-making. You have a strong desire to solve business problems using data and analytically based solutions and have demonstrated the ability to find creative solutions to complex and challenging analytical problems. This role is hybrid - in-office with 20% flexibility to work from home.
Responsibilities
Explore, clean, and analyze structured and unstructured datasets to extract insights that improve our products and services
Develop and test predictive models (e.g., demand forecasting, pricing optimization, customer segmentation) and help integrate them into business workflows
Work with developers and product managers to deploy models into production, ensuring scalability and reliability
Develop algorithms and methodologies that optimize back-end processes and maximize revenue
Develop internal models/processes such as machine learning models, numerical optimization, statistical significance testing, and streaming event data processing
Promote the adoption of advanced analytics and data-driven thinking within LodgeLink
Work effectively with stakeholders to understand ambiguous business problems, assess data needs, develop/maintain best suited models or processes, and identify opportunities where data science can create value
Technical Skills
Proficient in Python and SQL, and additional software experience preferred
Familiar with machine learning modelling (classification, regression, clustering) across a variety of implementations (linear, neural networks, svm, tree-based, bandits, etc) and frameworks (Tensorflow, PyTorch, Sagemaker, Prophet etc)
Skilled in applying statistical test (e.g. t-test, chi-squared, non-parametric etc), experiment design, and causal inference models to real-world problems
Experience with cloud-based data environments (preferably Azure) and distributed computing tools (e.g., Databricks, Spark)
Strong grasp of statistics, machine learning techniques, and practical data storytelling
Familiarity with software engineering practices such as Git, testing, and CI/CD for models
Demonstrated ability to work cross-functionally and balance speed with quality
Experience
5+ years of experience as a Data Scientist or in a related role
B. Sc. or master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field
Work Style
Experience operating in a cloud environment (Azure, AWS) with large datasets
Experience working in a SaaS or travel-tech environment
Familiar with Agile methodologies and CI/CD practices
Excellent communication and teamwork skills
About LodgeLink LodgeLink, a Black Diamond Group company headquartered in Calgary, Alberta, Canada is more than just a digital marketplace and ecosystem for crew travel; we’re a caring tech company on a mission to transform workforce travel. Our digital platform is the key to unlocking seamless solutions for finding, booking, and managing crew travel and accommodation needs. Powered by a growing network of hotel and lodge partners, we address the unique challenges of crew travel, applying technology to streamline the entire process from booking to management, payments, and cost reporting. At LodgeLink, we\'re not just saving our customers time and money; we\'re changing the future of workforce (crew) travel – for the better.
United by our vision to be THE ecosystem for workforce travel, our values reflect our commitment to collaboration, agility, dependability, inventiveness, and audacity. As a diverse and inclusive team, we come together, sharing ideas, building disruptive technology, and tackling complex problems. Our relentless pursuit to deliver value and superior customer experiences is inspired by a collective passion to ‘Create A Better Way’ for all.
At LodgeLink, we're seeking exceptional team players with an entrepreneurial spirit to contribute to our rapid growth. If you crave a career, not just a job, we could be the perfect fit.
LodgeLink Total Rewards
Building a diverse and inclusive team, supporting career growth and development.
Competitive base salaries.
Share Appreciation Rights program for salaried employees.
Paid vacation days and sick days.
An employee charitable donation program.
Hotel and travel discounts
Comprehensive benefits package including extended health, vision, dental, Health Spending Account, TeleDoc, Employee Assistance Program, Life, Long-term Disability, AD&D, and Critical Illness Insurance.
Located in beautiful Eau Claire in downtown Calgary, within a 5-minute walk to Prince’s Island Park
Company-hosted events, and a game room.
Ability to join our Social Club and join colleagues for fun events such as golf, bowling, curling, stampede events and more.
Free access to the Aspen Properties Fitness Centers.
Equal Opportunity Employer Black Diamond Group is committed to diversity, equal opportunity and ensuring that our employees can thrive in an inclusive environment. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, national origin, age, disability, or any other legally protected factors. Accommodation for applicants with disabilities is available upon request during the recruitment process.
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Responsibilities
Explore, clean, and analyze structured and unstructured datasets to extract insights that improve our products and services
Develop and test predictive models (e.g., demand forecasting, pricing optimization, customer segmentation) and help integrate them into business workflows
Work with developers and product managers to deploy models into production, ensuring scalability and reliability
Develop algorithms and methodologies that optimize back-end processes and maximize revenue
Develop internal models/processes such as machine learning models, numerical optimization, statistical significance testing, and streaming event data processing
Promote the adoption of advanced analytics and data-driven thinking within LodgeLink
Work effectively with stakeholders to understand ambiguous business problems, assess data needs, develop/maintain best suited models or processes, and identify opportunities where data science can create value
Technical Skills
Proficient in Python and SQL, and additional software experience preferred
Familiar with machine learning modelling (classification, regression, clustering) across a variety of implementations (linear, neural networks, svm, tree-based, bandits, etc) and frameworks (Tensorflow, PyTorch, Sagemaker, Prophet etc)
Skilled in applying statistical test (e.g. t-test, chi-squared, non-parametric etc), experiment design, and causal inference models to real-world problems
Experience with cloud-based data environments (preferably Azure) and distributed computing tools (e.g., Databricks, Spark)
Strong grasp of statistics, machine learning techniques, and practical data storytelling
Familiarity with software engineering practices such as Git, testing, and CI/CD for models
Demonstrated ability to work cross-functionally and balance speed with quality
Experience
5+ years of experience as a Data Scientist or in a related role
B. Sc. or master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field
Work Style
Experience operating in a cloud environment (Azure, AWS) with large datasets
Experience working in a SaaS or travel-tech environment
Familiar with Agile methodologies and CI/CD practices
Excellent communication and teamwork skills
About LodgeLink LodgeLink, a Black Diamond Group company headquartered in Calgary, Alberta, Canada is more than just a digital marketplace and ecosystem for crew travel; we’re a caring tech company on a mission to transform workforce travel. Our digital platform is the key to unlocking seamless solutions for finding, booking, and managing crew travel and accommodation needs. Powered by a growing network of hotel and lodge partners, we address the unique challenges of crew travel, applying technology to streamline the entire process from booking to management, payments, and cost reporting. At LodgeLink, we\'re not just saving our customers time and money; we\'re changing the future of workforce (crew) travel – for the better.
United by our vision to be THE ecosystem for workforce travel, our values reflect our commitment to collaboration, agility, dependability, inventiveness, and audacity. As a diverse and inclusive team, we come together, sharing ideas, building disruptive technology, and tackling complex problems. Our relentless pursuit to deliver value and superior customer experiences is inspired by a collective passion to ‘Create A Better Way’ for all.
At LodgeLink, we're seeking exceptional team players with an entrepreneurial spirit to contribute to our rapid growth. If you crave a career, not just a job, we could be the perfect fit.
LodgeLink Total Rewards
Building a diverse and inclusive team, supporting career growth and development.
Competitive base salaries.
Share Appreciation Rights program for salaried employees.
Paid vacation days and sick days.
An employee charitable donation program.
Hotel and travel discounts
Comprehensive benefits package including extended health, vision, dental, Health Spending Account, TeleDoc, Employee Assistance Program, Life, Long-term Disability, AD&D, and Critical Illness Insurance.
Located in beautiful Eau Claire in downtown Calgary, within a 5-minute walk to Prince’s Island Park
Company-hosted events, and a game room.
Ability to join our Social Club and join colleagues for fun events such as golf, bowling, curling, stampede events and more.
Free access to the Aspen Properties Fitness Centers.
Equal Opportunity Employer Black Diamond Group is committed to diversity, equal opportunity and ensuring that our employees can thrive in an inclusive environment. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, national origin, age, disability, or any other legally protected factors. Accommodation for applicants with disabilities is available upon request during the recruitment process.
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