Machine Learning Engineer @ SCAN | Jobright.ai
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SCAN · 3 days ago

Machine Learning Engineer

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Responsibilities

Machine Learning architecture, design, research, testing and evaluation of new technologies that improve and enhance enterprise analytics systems reliability, availability and serviceability.
Collaborate closely with internal and external partners to ensure that technology decisions related to advanced analytics align seamlessly with the overarching enterprise architecture framework.
Establish and meticulously maintain analytic environments essential for the Enterprise Data Warehouse, Data Science, Business Intelligence, and both structured and unstructured data.
Maintain knowledge of current and emerging technologies, products, and trends in advanced analytics solutions, fostering a keen awareness of the evolving landscape.
Ensure alignment of data analytics solutions with business and IT goals/objectives, actively participating in the identification of advanced analytics solution options and features.
Effectively communicate solution options to business owners and stakeholders, facilitating data analytics architecture reviews.
Identify gaps between established standards and proposed solutions for advanced analytics, maintaining a sharp focus on maintaining alignment.
Sustain an in-depth awareness of existing technology assets related to data science and business intelligence, continuously evaluating their capabilities.
Provide mentorship to team members, assisting in the development of technical skills related to data analysis and data science.
Collaborate with data insight teams to establish development standards for coding, testing, and documentation.
Engage stakeholders across the organization to architect solutions that leverage advanced analytics, big data, and machine learning effectively.
Demonstrate excellent interpersonal and organizational skills, ability to handle diverse situations, multiple initiatives, and rapidly changing priorities.
Actively support the achievement of SCAN’s Vision and Goals.
Other duties as assigned.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Advanced analytics architectureMachine learningData warehousingData scienceAzure Data FactoryAzure DatabricksPysparkAzure DevOpsAzure Machine LearningAzure Data LakePower BIMS SQL ServerSSASSSRSSSISTableauAlteryxNatural Language ProcessingScikit-LearnDeep learningPythonRSQLDeep Learning LibrariesHealthcare industry experience

Required

7+ years of overall Machine Learning and Data Science field experience required
3+ years of experience in machine learning solution architecture, building machine learning pipelines, standardizing and building enterprise level data analysis solutions in complex environment required
Hands-on experience with Modern Data Warehousing in the cloud, Snowflake, SnowSQL, Azure Data Factory, Databricks, Snowpark, PySpark, Azure DevOps, Azure Fabric, Power BI, SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, NLP, and Scikit-Learn (Classification, Clustering, Recommendation Systems)
Programming experience with scripting languages such as Python/R and SQL is required
Expertise in Snowflake architecture, performance tuning, and SQL optimization
Experience with ETL/ELT tools (e.g., Azure Data Factory, dbt) and building scalable data pipelines
Strong understanding of data warehousing, dimensional modeling, and cloud platforms (Azure, AWS)
Proficiency in Python, SnowSQL, and automation with Snowflake’s API
Knowledge of BI tools (e.g., Power BI, Tableau, SSRS) and experience with machine learning integration (e.g., Snowpark, Azure Machine Learning, Snowflake Streamlit)
Familiarity with CI/CD pipelines and version control (Git)
Deep understanding of data science, machine learning, deep learning, advanced statistical techniques and concepts
Deep understanding of industry patterns for machine learning architecture and integration
Excellent written and verbal communication skills

Preferred

Associate’s or Bachelor’s Degree in Computer Information or equivalent work experience
Experience in Deep Learning Libraries, such as tensorflow or pytorch
Health care industry experience is a big plus

Benefits

An annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement

Company

SCAN

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About SCAN Keeping Seniors Healthy and Independent–that’s been our mission for more than 40 years.

H1B Sponsorship

SCAN has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (5)
2022 (5)
2021 (4)
2020 (8)

Funding

Current Stage
Late Stage

Leadership Team

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Lyn Amor Macaraeg
CVP Chief of Staff & Strategic Advisor to the CEO
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Sachin H. Jain, MD, MBA
President and CEO, Board Director
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Company data provided by crunchbase
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