About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply. Job Description: As a Data Science Engineer, you will play a critical role in leveraging data-driven insights to drive informed decision-making and enhance business processes on the Azure cloud platform. Your expertise in data analysis, machine learning, software engineering, and Azure technologies will be instrumental in developing scalable data solutions, building predictive models, and implementing data-driven applications. You will collaborate closely with cross-functional teams to extract, transform, and analyze complex datasets using Azure services to provide valuable business insights. Requirements: U.S. Citizenship is required. This role is onsite (5 days onsite / week). Candidate must be able to obtain Public Trust clearance. Qualifications and Experience: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Minimum of 5 years of experience as a Data Science Engineer or a similar role. Strong proficiency in data analysis, statistical modeling, and machine learning techniques. Proven experience in applying machine learning algorithms and frameworks to real-world problems. Proficiency in programming languages commonly used in data science, such as Python or R. Experience with data visualization tools and libraries, such as Power BI, Matplotlib, or ggplot. Solid understanding of software engineering principles and best practices. Familiarity with data manipulation and querying languages, such as SQL. Experience in developing and deploying data-driven applications in production environments. Strong problem-solving skills and the ability to handle complex data challenges. Experience with data analysis and manipulation libraries and frameworks, such as pandas, NumPy, or dplyr. Knowledge of machine learning frameworks and libraries, such as scikit-learn, TensorFlow, or PyTorch. Experience with big data technologies, such as Apache Hadoop, Spark, or distributed computing frameworks. Proficiency in utilizing Azure Data Services, such as Azure Data Lake Storage, Azure Synapse Analytics, or Azure SQL Database, for data processing and storage on the Azure cloud platform. Experience with Azure Machine Learning services for building and deploying machine learning models. Proficiency in utilizing Azure Databricks for collaborative analytics, machine learning workflows, and big data processing on Azure. Knowledge of software engineering principles and practices, including version control (e.g., Git) and agile development methodologies. Familiarity with Azure cloud platform and services, such as Azure Data Factory, Azure DevOps, or Azure Functions. Understanding of data security and privacy considerations in data science projects on the Azure cloud platform. Excellent communication and collaboration skills to work effectively with cross-functional teams. Responsibilities: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data-driven solutions on the Azure cloud platform. Extract, clean, transform, and analyze large and complex datasets using Azure Data Services, such as Azure Data Lake Storage, Azure Databricks, or Azure SQL Database, to generate actionable insights and drive informed decision-making. Develop and implement machine learning models and algorithms using Azure Machine Learning services, Azure Databricks, or other relevant Azure technologies for predictive analytics, pattern recognition, and optimization. Apply statistical techniques to analyze data, identify trends, and perform hypothesis testing to validate models and findings. Design and implement scalable data pipelines, ETL processes, and data workflows on Azure, leveraging technologies like Azure Data Factory, to efficiently process, transform, and store large volumes of data. Collaborate with software engineers to deploy and integrate data-driven applications and systems into Azure cloud environments. Continuously monitor and evaluate model performance, making improvements and optimizations using Azure Machine Learning pipelines or other relevant tools. Stay up-to-date with emerging trends and advancements in data science, machine learning, software engineering, and Azure technologies, recommending innovative solutions and best practices for Azure data solutions. Effectively communicate complex findings and insights to non-technical stakeholders, enabling data-driven decision-making across the organization. Compensation and Benefits: At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job. Veterans First Commitment: As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization. Commitment to Diversity: NDi is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran or military status, citizenship, national origin, or any other basis prohibited by law in all phases of the employment process and compliance with applicable federal, state, and local laws and regulations. As a federal government contractor, NDi complies with all applicable affirmative action requirements. Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting! #J-18808-Ljbffr Network Designs
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