Sr. Data Science Architect- Remote

Divisions, Inc. Newport , KY 41099

Posted 3 weeks ago

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.

Key Responsibilities

  • 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

Job Qualifications

  • 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.

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Sr. Data Science Architect- Remote

Divisions, Inc.