Job Category:
TechnologyPay Grade Range:
$60,840.00 - $141,960.00Disclaimer: The base salary range represents the low and high end of Altus Group's "Pay Grade Range" for this position in the primary work location. Actual hiring salaries will vary depending on factors including but not limited to work experience, and geographic market data for the role. The Pay Grade Range listed above does not reflect Altus Group's total compensation for employees. Other rewards may include an annual bonus, flexible work arrangements, and region-specific benefits.
Unlock your Altus Experience!
If you're looking to advance your career in data analytics, expertise, and technology for the rapidly growing global CRE market, there's no better place than Altus Group. At Altus, our work is purposeful. Every day, our employees drive impact, innovate, and shape the global commercial real estate (CRE) and PropTech industry.
Our people-centric culture empowers you to deliver in a high trust, high performance culture, surrounded by an inclusive team that's collaborating to modernize our industry. We invest in our people with training and growth opportunities designed to propel you further in your career while providing a flexible and progressive workplace that reflects our values and teams.
Altus Group is seeking a Data Scientist to join our team. Reporting to the Senior Manager, the Data Scientist will be responsible for data quality control and will support the development and work distribution of the team to ensure data meets quality standards and is accurate, consistent and reliable.
Key Responsibilities:
Manage data projects, leading projects to manage data, including overseeing delivery dates, budgets and regulatory requirements
Collaborate with R&D resources to define and scope data science solutions
Oversee data quality processes: defining data quality processes, including controls, quality targets and alert thresholds
Participate in model and code reviews and contribute to a team consistently shipping new or updated analytics solutions
Define and implement metrics that will track model performance over time to identify risks and opportunities
Communicate results and insights from data science initiatives to stakeholders and other internal/external users and customers
Key Qualifications:
A scientist at heart. You are thoughtful and rigorous about modeling methodology and setting standards for exploration and experimentation.
BS or MS degree in Computer Science, Applied Mathematics, Engineering, or a related technical field
3+ years of experience working in a Data specialist role
1+ years managing, leading and/or training other employees
Strong people management skills
Knowledge of Machine Learning AWS SageMaker or Azure ML Studio
3+ years of Python or Java development experience
3+ years of SQL experience (NoSQL experience is a plus)
3+ years of experience with schema design and dimensional data modeling
Ability in managing and communicating data warehouse plans to internal clients
Experience designing, building, and maintaining data processing systems
Experience in Tableau, analysis services, Salesforce, integration services, or any other data visualization tools.
Demonstrated ability to process & manage unstructured data
Knowledge in Cloud Infrastructure - Azure, GCP or AWS and related systems for data storage & management
What Altus Group offers:
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Applicants with disabilities may contact Altus Group to request and arrange for accommodations. If you need accommodation, please contact us at accessibilityusa@altusgroup.com or +1 888 692 7487.
We appreciate all applicants who take the time to apply to Altus Group. Please note that only those who are selected to move forward in the process will be contacted. Thank you.
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