As part of the Data Science department at DMG, we are seeking a Sr. Data Science Architect who is passionate about the data and thrives in a fast-paced environment to have a positive impact on the DMG business and the society. The Data Science department develops tools, technologies, models to solve business problems and provide actionable insights by leveraging the large, complex datasets and domain expertise. The Data Science department works in close coordination with other cross-functional business departments such as Data Engineering, Data Governance, and Product and Engineering.
Proposes, designs, and develops predictive and prescriptive solutions in collaboration with cross-functional stakeholders; facilitates implementation leveraging Product & Engineering and other functions as necessary
Able to translate the high-level business requirements into detailed system-level and functional requirements for technical implementation
Works with data architects, data architects, data engineers, data scientists, business analysts, and information designers to identify requirements on data structures, formats, pipelines, metadata, security, and orchestration and efficient workflow capabilities
Acts as a hands-on technical liaison between engineering teams and data scientists
Investigates, analyzes, preprocesses large structured and unstructured datasets; performs necessary checks for reasonableness, completeness and accuracy.
Develops a scalable architecture toward an end-to-end process from procuring the raw data to converting into actionable insights (decisions, monitoring, etc.), including automated data model pipelines
Able to wear multiple hats from data architect to product manager to business analyst
Analyzes, documents, and communicates the results, processes, and insights to internal stakeholders
Understands, follows, and support internal and external compliance requirements/standards
Creates and maintains productive relationships within the DMG technical community; keeps current with technology, methods, and best practices; participates in peer reviews and educating internal stakeholders
Bachelor's in data science, engineering, mathematics, statistics/applied statistics, computer science or related quantitative field; advanced degree (Masters or PhD) is a plus
8+ years demonstrated experience designing, coding, developing, testing, and implementing predictive and prescriptive solutions at the product or enterprise level
3+ years of experience in product management role and business analyst role
Proficient with cloud platforms (Azure, AWS) and data science architecture tools to deploy production-ready commercial solutions in the cloud
Experience with machine learning and deep learning techniques for both structured, semi-structured, and unstructured data, e.g., Regression, SVM, PCA, NLP, regression/decision trees, image processing/modeling
Proficient in AI/ML models, libraries, packages, tools, and frameworks e.g., Tensorflow, PyTorch, MXNet, Skikit-learn, Keras, Jupyter.
Proficient in mechanisms to extract and prepare data from diversified internal and external data sources (real-time or offline) using SQL, Python, Restful APIs
Proficient in containerization, virtual environments, integrated development environments, dev
Ops techniques, data mining, streaming, and data analysis and visualization tools, e.g., Docker, Conda, Kaftka, Spark, Power BI
Works effectively in a team environment with high-level of accountability
Familiarity with data filtering, data cleansing, and outlier detection techniques
Experience with controls and large-scale optimization architectures is a plus
Ability to handle and manage multiple concurrent assignments efficiently
Prior experience in facility management, HVAC, or services-based business is a bonus
Divisions Maintenance Group is an equal opportunity employer.