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    Lead Data Engineer - Atlanta, United States - Karna LLC

    Karna LLC
    Karna LLC Atlanta, United States

    1 week ago

    Default job background
    Description

    Lead Data Engineer

    US Remote

    Job ID:
    Type: Full-Time/Regular
    # of Openings: 1
    Category: Data Science / Analytics
    Karna

    Overview

    The Lead Data Engineer will manage multiple small/medium projects or a large project for government and/or commercial clients, from the proposal stage through execution. The Lead Data Engineer will help oversee the analytics and solutioning of projects as part of a matrixed team and mentor others on the team. This is a highly cross-functional and collaborative senior role and requires a technical leader with strong program management, people management and business development skills. In this role, you will have the opportunity to contribute directly to the success of the organization and make tangible contributions. This role will improve how we think of data and integrate data into all of the cross-functional work that we do.

    Responsibilities
    • Leads projects to develop custom analytics solutions using traditional statistical and modern data science methods for surveys, questionnaires, experiments, and other selected forms of research
    • Provide leadership, management, and coordination of planning, data collection, analysis, performance measurement, quality assurance, and reporting to reliably capture the impact and effectiveness of the organization or program
    • Coordinates with project managers to maintain schedule, budget, quality of deliverables and technical resources/staffing
    • Serves as the main point of contact for clients on projects
    • Responsible for managing and mentoring data science team
    • Review technical data related to public health, healthcare and other data to prepare summaries, analyses, technical reports, manuscripts and presentations
    • Design data management infrastructure and oversee management of databases, including codebooks, data dictionaries, and documentation
    • Understands business requirements and works to create solutions meeting those requirements; Able to explain needs to relevant stakeholders
    • Responsible for business development activities including executive networking, expanding current contracts, participating in capture activities for new work
    • Serve as a writer/editor on proposals, help develop win themes, and lead the development of proposals
    • Analyze data and make recommendations to internal and external clients
    • Perform other related duties as required
    Qualifications
    • Master's degree or higher in social sciences, quantitative discipline, or other relevant field
    • 7 - 10 years' work experience applied government, public health or healthcare analytics, with demonstrated experience in being the lead scientist in providing fast-paced analytics solutions for challenging research problems using statistical and/or data science approaches
    • 2 - 4 years' progressive experience leading multidisciplinary teams to meet multiple tight deadlines
    • Experience working with healthcare quality measurement and claims data analysis
    • Business development and proposal writing experience
    • Experience designing and performing data science and statistical analysis using Python and/or R
    • Thorough understanding of data engineering and analytics methodologies, such as:
      • Modern data science methodologies including, but not limited to classification algorithms, natural language processing, and assessment of biases and uncertainty in those methods, or
      • Familiarity with statistical methods and research design such as linear, logistic, and conditional regression modeling, parametric and non-parametric statistics, cross-sectional and longitudinal data analysis, survival analysis, sample size calculation and power studies, surveillance and case-control study design and analysis, meta-analysis, and time series analysis,
      • Systems engineering with a team of analysts, developing and designing solutions at scale and in the cloud to deliver production data science solutions to meet business needs.
    • Experienced with modern reproducible research methods including, but not limited to RMarkdown, Quarto, and/or Jupyter Notebooks
    • Well-versed in Microsoft Office products and software to support quantitative analysis, qualitative analysis, information synthesis and reporting

    PM18

    PI75016cb081ef-3943

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