• Provide thought leadership in data science techniques • Analyze and manage business objectives in complex systems development • Collaborate and build relationships with clients • Research and implement best practices for enterprise processes • Support executive decision making through visualization • Model complex systems and lead digital transformation • Facilitate understanding and organizational learning

• Lead and implement advanced remote sensing analysis tasks, including processing of optical and SAR data, timeseries analysis, and predictive modeling. • Design and implement machine learning pipelines for geospatial analysis, including feature engineering, model selection, hyper parameter tuning, and validation. • Develop and deploy deep learning models (CNNs, RNNs, LSTMs, Transformers) for image classification, segmentation, object detection, and time series forecasting. • Apply advanced AI techniques for predictive modelling and mapping of indicators relevant to ecosystem health assessment. • Process and analyze optical data (Sentinel 2, Landsat 8/9) and SAR data (Sentinel 1). • Implement time series analysis and forecasting models. • Develop scalable, reproducible spatial data processing workflows and contribute to MLOps practices. • Supervise a team of junior spatial data scientists and developers. • Lead internal capacity development seminars on machine learning and AI applications.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Data Science Manager, you’ll have a big mission. Responsible for assuring the Company’s standards are achieved and excellent customer service is delivered. You also understand the value of taking a moment to express gratitude to the village that helped to make it happen. As you can likely tell, 'how' things are done matters just as much as ‘what’ was done here at BH! Key Responsibilities - Design, build, and deploy statistical models, forecasting frameworks, and predictive analytics solutions. - Apply advanced analytical techniques—including regression, time‑series forecasting, classification, clustering, and experimentation—to address strategic business challenges. - Lead model validation, performance monitoring, and documentation to ensure accuracy, rigor, and reproducibility. - Identify high‑impact machine learning and AI use cases and guide their implementation. - Write advanced SQL queries and manage analytics workflows within Snowflake and related cloud data environments. - Use Python and R extensively for modeling, experimentation, and data analysis. - Lead, mentor, and develop a team of analysts, fostering both technical and professional growth. - Establish and uphold technical standards, analytical methodologies, and best practices across the team. - Review analyses, models, and dashboards for quality, accuracy, and business relevance. - Prioritize initiatives and allocate resources in alignment with executive priorities. - Expand team capabilities in data science, statistical modeling, and AI applications. - Partner directly with executive leadership to clarify analytical needs and shape complex business questions. - Translate analytical findings into clear, concise, executive‑ready insights and recommendations. - Serve as a strategic advisor on forecasting, performance improvement, and risk‑management initiatives. - Oversee the development and maintenance of executive‑level Power BI dashboards and semantic data models. - Ensure data integrity, consistency, and accuracy across all reporting and analytical outputs. - Collaborate with cross‑functional teams in Hex or similar notebook platforms to document, automate, and operationalize analytical work. - Leverage AI tools such as ChatGPT and Claude to accelerate analysis, automate repeatable workflows, and enrich insight generation. - Establish best practices for responsible and effective AI usage within analytics workflows. - Train leaders and business partners on the practical application of AI and analytical tools. - Stay current on emerging data science and AI technologies and implement solutions that deliver measurable business value. - Other duties as assigned. Qualifications - 7+ years of experience in data science, advanced analytics, or a related quantitative field, preferably in multifamily, real estate investment, or financial services. - 2+ years of experience leading or mentoring analysts. - Advanced proficiency in SQL, Python, and R. - Experience working with Snowflake or similar cloud data warehouse platforms. - Strong experience developing and validating statistical and predictive models. - Advanced experience building executive-facing dashboards in Power BI. - Demonstrated ability to translate complex modeling outputs into clear, actionable business recommendations. - Strong financial and business acumen, particularly in operational or asset-based environments. - Proven ability to independently scope ambiguous problems and deliver high-quality analytical solutions. Requirements - Seniority Level: Experienced - Industry: Property Management - Employment Type: Full-Time - Location: Remote - Work Schedule: 8am-5pm, Monday-Friday, or as needed to meet business needs. Benefits - BH is an Equal Employment Opportunity Employer. - We foster the diverse voices of our community by advocating for inclusivity, celebrating our differences, and continually evolving our practice to make BH a better place to work and live. - Our posted compensation reflects the cost of talent across multiple US geographic markets. - Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Provide project support for RWD/RWE analyses. - Design, plan and lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, including comparative effectiveness, safety, observational studies, external control arms, and outcomes research. - Oversee and validate statistical programming deliverables to ensure analyses are accurate, reproducible and aligned with study objectives, regulatory and publication standards. - Perform statistical programming using relevant programming languages in big data environment to support data extraction, analysis, validation and generation of study results. - Apply AI capabilities to enhance data preparation, code development, analytical efficiency and workflow automation. Qualifications - PhD or equivalent degree in statistics/biostatistics or related discipline with a minimum of 2 years relevant work experience, or a Master’s degree with a minimum of 4 years relevant work experience. - Advanced proficiency in relational databases and programming languages such as R, Python, SAS, or SQL in big data environment. - Advanced knowledge in Real-World Data (RWD), HEOR, and Epidemiologic methodology, including study design, statistical analysis and interpretation. - Demonstrates interest in statistical research activities and application of novel methods to clinical trial development and RWE. - Basic good presentation, oral and written communication skills. - Ability to learn, being proactive, motivated, and consistently focus on details and execution. - Ability to work in a team environment with cross-functional team members. Requirements - Develops individual protocol/SAP and determines appropriate statistical methodology for RWD/RWE studies. - Analyzes large datasets from diverse sources, including claims databases, EHR, registries, and patient-reported outcomes. - Participates in database design meetings to ensure that the data collected are in high quality and satisfy analysis requirements. - Collaborates with the statistical programming staff to ensure that all programs meet analysis and external requirements. - Performs key and innovative part of the analyses and interprets results. - Prepares oral and written reports to effectively communicate results. - Reviews stat related documents during projects initiation, conduct and reporting when external vendors involved. - Is involved in research activities for innovative statistical methods and applications. - Prepares materials and conducts training to internal/external audience in venue initiated by MA and commercial. - Provides statistical consultation and review to other request from other functions (i.e. clinical development or commercial). Benefits - Medical, Dental, Vision - 401(k) - FSA/HSA - Life Insurance - Paid Time Off - Wellness - Annual bonus plan for Non-Commercial roles - Incentive compensation plan for Commercial roles - Opportunity to own shares of BeOne Medicines Ltd. stock - Eligibility for discretionary equity awards - Voluntary participation in the Employee Stock Purchase Plan Travel Yes, depends on needs. Salary Range $155,000.00 - $200,000.00 annually