Manager, Data Science (Remote)

at  Altus Group

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 Science Manager to support Altus Labs, the firm’s commercial real estate (CRE) hub for innovation, focused on applying new data, methodologies, and tech to drive better client investment and operating outcomes. As a Data Science Manager, you will direct a team of Data Scientists to develop new analytics and data solutions through statistical modeling, feature engineering, machine learning and interpretation. Our Data Science Managers are expected to manage a team of Data Scientists and to contribute to applied data science work.

Key Responsibilities:

• Developing the skills and capabilities of the data science team through regular mentoring, coaching, and performance feedback. Identifying individual team members’ strengths and areas for improvement and providing opportunities for professional development and career growth.
• Fostering a positive team culture that encourages collaboration, innovation, and continuous learning. Promoting open communication, inclusivity, and respect among team members. Facilitating regular team meetings and workshops to encourage sharing of ideas and best practices.
• Ensuring that team members are effectively allocated across projects, balancing workloads while meeting project timelines and deliverables. Monitoring and adjusting resource allocations as needed to respond to changing priorities and project demands.
• Setting clear, measurable goals and objectives for the team and individual members aligned with the organization’s strategic priorities. Regularly reviewing performance against these goals, providing constructive feedback and addressing any performance issues promptly.
• Mining and analyzing data to build and improve analytics and existing CRE performance models.
• Data wrangling, data visualization, feature engineering, model selection, tuning, and enhancement of CRE models and analytics.
• Collaborating with Data Scientists to implement processes and tools to monitor and analyze CRE model/analytics performance and accuracy. Work will involve evaluating the use of new internal and external data sets.
• Communicating complex data science concepts and the value of analytical projects to non-technical stakeholders. Preparing and presenting reports, findings, and recommendations to senior management and other key stakeholders.
• Translating and summarizing data science experiments to make go/no-go recommendations on the use of new econometrics or ML techniques and new data sets.
• Establishing new modeling approaches as part of the Data & Analytics team at Altus by sharing and documenting best practices based on solid statistical/econometric/ML principles.

Key Qualifications:

• 6+ years of experience working in data science or applied economics, depending on academic background
• 4+ years of experience managing a team of Data Scientists
• Applied ML or econometrics experience with Python or R
• BS or MS degree in Economics, Computer Science, Applied Mathematics, or a related technical field
• Experience leading or directing analytics, data science, or other related projects
• Prior experience managing data scientists preferred
• Experience with commercial real estate a plus

WHAT ALTUS GROUP OFFERS:

• Rewarding performance: We are pleased to be able to provide employees competitive compensation, incentive and bonus plans, and a total rewards package that prioritizes their mental, physical and overall financial health.
• Growth and development: As a destination for top industry talent, we’re investing in you to meet the evolving needs of our clients and deliver on your professional goals. Our Altus Intelligence Academy offers over 150,000 hours of learning materials catering to diverse stages of an employee’s career journey.
• Flexible work model: We’re modernizing our employee programs to reflect the new world of work. Our Activity-Based Work model provides you with flexibility to align your work location to the work being performed - office for connecting and collaborating, and remote for focused work.
  Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation, please contact us at accessibility@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

• Developing the skills and capabilities of the data science team through regular mentoring, coaching, and performance feedback. Identifying individual team members’ strengths and areas for improvement and providing opportunities for professional development and career growth.
• Fostering a positive team culture that encourages collaboration, innovation, and continuous learning. Promoting open communication, inclusivity, and respect among team members. Facilitating regular team meetings and workshops to encourage sharing of ideas and best practices.
• Ensuring that team members are effectively allocated across projects, balancing workloads while meeting project timelines and deliverables. Monitoring and adjusting resource allocations as needed to respond to changing priorities and project demands.
• Setting clear, measurable goals and objectives for the team and individual members aligned with the organization’s strategic priorities. Regularly reviewing performance against these goals, providing constructive feedback and addressing any performance issues promptly.
• Mining and analyzing data to build and improve analytics and existing CRE performance models.
• Data wrangling, data visualization, feature engineering, model selection, tuning, and enhancement of CRE models and analytics.
• Collaborating with Data Scientists to implement processes and tools to monitor and analyze CRE model/analytics performance and accuracy. Work will involve evaluating the use of new internal and external data sets.
• Communicating complex data science concepts and the value of analytical projects to non-technical stakeholders. Preparing and presenting reports, findings, and recommendations to senior management and other key stakeholders.
• Translating and summarizing data science experiments to make go/no-go recommendations on the use of new econometrics or ML techniques and new data sets.
• Establishing new modeling approaches as part of the Data & Analytics team at Altus by sharing and documenting best practices based on solid statistical/econometric/ML principles