nLeague · 2 months ago
Data Scientist
nLeague is seeking a Data Scientist to enhance the data infrastructure and create advanced analytics solutions for the City of Atlanta's Aviation department. The role involves leveraging machine learning to improve decision-making, collaborating with cross-functional teams, and mentoring junior data scientists.
Mobile
Responsibilities
Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation
Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value
Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization
Data Strategy & Research: Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives
Advanced Analytics & Insights: Provide deep analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence
Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions
Network & System Optimization: Ensure the organization’s data systems and models are operating at optimal levels, performing regular updates and improvements
Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability
Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results
Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making
Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution
Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary
Ensure compliance with data governance and security standards
Provide recommendations for improving data infrastructure and processes to increase business efficiency
Deliver ongoing support for mission-critical business functions through data-driven strategies
Develop and maintain data recovery and contingency plans in case of system failure or other disruptions
Selects from multiple procedures and methods to accomplish tasks. Follows standardized procedures and written instructions to accomplish assigned tasks
Selects appropriate data science methodologies and tools to achieve business goals
Exercises judgment in balancing short-term project deliverables with long-term data strategy
Influences business decisions by providing actionable insights based on thorough data analysis
Serves as a technical resource or mentor to other employees. May lead or instruct less experienced workers in high level or technical jobs
Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members
Contributes to the strategic direction of the data science function within the organization
Presents insights and findings to upper management, recommending improvements to data strategy and network infrastructure
Qualification
Required
Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered
5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models
Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics
Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit-learn)
Strong experience working with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud)
Excellent oral and written communication skills with the ability to explain complex technical concepts to non-technical audiences
Proven ability to work across departments and manage multiple projects or tasks concurrently
Experience leading and mentoring teams, guiding them toward achieving technical excellence
Familiarity with data security best practices, ensuring compliance with industry standards
Capable of managing multiple projects simultaneously while meeting deadlines and maintaining high standards of quality
Uses initiative and independent judgment to undertake activities with minimal supervision
Responds constructively to new information, changing conditions, and unexpected challenges
Focuses on delivering value-driven, responsive solutions to both internal and external stakeholders
Preferred
Master's or PhD in Data Science, Machine Learning, Computer Science, or a related field
Experience in leading data science teams or large-scale projects within an enterprise setting
Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment
Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions
Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights
Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda)
Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable
Company
nLeague
nLeague is an IT company offering mobility and engineering services.
H1B Sponsorship
nLeague 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
2024 (2)
2023 (2)
2022 (1)
2021 (6)
2020 (7)
Funding
Current Stage
Growth StageCompany data provided by crunchbase