Mid-Level Supply Chain Systems Process Integration Specialist

Mid-Level Supply Chain Systems Process Integration Specialist

If you are looking for a challenging opportunity that allows you to develop and learn in a stable and growing organization…come joins us as a Mid-Level Supply Chain Systems Process Integration Specialist at Horizon.  Horizon Industries Limited (Horizon) is a dynamic IT and Management Consulting firm based in the Washington, DC area and we are currently seeking a Mid-Level Supply Chain Systems Process Integration Specialist for a full-time position remotely supporting the Marine Corps Logistics Command.

Summary of requirements:

• 3+ years of experience in developing machine learning models
• Relevant Technical certifications
• IT-II security clearance or have a current National Agency Check with Local Agency Check and Credit Check (NACLC)
• Remote

 Position Description:

We are looking for a Mid-Level Supply Chain Systems Process Integration Specialists that will:

• Collaborate with multi-disciplinary and cross-functional teams to identify business opportunities and develop machine learning and data science solutions ;Utilize processes and best practices to plan, lead and execute delivery of data analytics and AI engagements for state and federal government clients and work with government clients to manage risks, set expectations and ensure successful delivery of projects.
• Work with clients and team leads to discover data sources, and create data requests; collaborate with data engineers to develop and utilize the ETL process to ingest and enrich structured and unstructured data; Leverage a variety of data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data and operational data
• Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns; Perform machine learning, natural language, and statistical analysis methods, such as classification, cluster analysis, collaborative filtering, sentiment analysis, language modeling, time-series analysis, regression, statistical inference, etc.
• Develop skills in building and managing production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration and model managements in cloud environment
• Rapidly learn and develop skills in utilizing cloud compute and storage resources and other on-prem and cloud-native services for data acquisition, management, transformation, model development and deployment.
• Contribute in developing dashboards, UI and interactive tools to support clients to turn their data into actionable insights and reproducible reports. 

Required Skills / Experience:

• 3+ years of experience in developing machine learning models (predictive models, classification, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection etc.)
• Ability to apply artificial intelligence and machine learning techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions) provide assistance and resolve problems, using solid problem-solving skills with strong verbal/written communication skills.
• Proficiency with programming languages such as Python, R, Java, SQL and their open source packages/libraries
• Background in developing Deep Learning models (e.g. CNN, Recurrent etc.) and its applications (object detection, text recognition, language modeling etc.) and tools (e.g. TensorFlow, PyTorch, Keras, ai etc.)
• Familiarity with big data open source tools (e.g. Spark, Hadoop, Kafka, etc.), and open source web frameworks and UI platforms (e.g. Flask, Shiny, Django, Dash) is a plus
• Experience in leveraging cloud services or Cloud Certification (e.g. AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate etc.) is a plus.
• Must possess IT-II security clearance or have a current National Agency Check with Local Agency Check and Credit Check (NACLC) at time of submission.

Education: Master's or PhD degree from an accredited college/university in mathematics, statistics, Computer Science, engineering or any other related field.

Location: Remote

Salary Range: There are various factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, education, certifications, and competencies that align with the specified role, as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position is: $155K - $160K depending upon experience and fit.

Project Overview:

This contract will provide refinement and implementation of effective processes to enhance current capabilities and extend capabilities utilizing Artificial Intelligence and Machine Learning integration. These capabilities and services will provide advanced analytics for event detection and forecast customization. These capabilities should also provide advanced analytics for event detection and automated continuous improvements. As well as data connections to enable continuous learning and feedback loops for a self-improving model. Machine Learning for rapid, sustainable modeling: Pilot and establish a path for implementation of a machine learning methodology for rapid model development and sustainment with continuous integration and deployment (CI/CD) practices.

The scope of this work includes analysis and provides strategic recommendations for the government to create an Integrated Demand Planning and Fulfillment approach capable of optimizing life-cycle performance and strategic financial transparency across the entire Supply Value Chain.

Company Overview:

Founded in 1996, Horizon Industries Limited (Horizon) has evolved into a company of highly qualified professionals that provides full cycle IT Consultant and Management support in both the private and public sectors.

Horizon culture supports a strong work life balance and offers a comprehensive benefit package, to include healthcare (medical, dental vision and disability), 401k program where you are 100% vested from day one with an employer match after 90 days, Educational Assistance program, Student Loan Repayment program and a Gym Reimbursement program.

Horizon is an Equal Employment Opportunity employer, and it is our policy to consider all applicants for employment.  All qualified applicants will receive consideration for employment without regard to sex, race, color, creed, religion, national origin, sexual orientation, marital status, age, disability, veteran status, alienage, ancestry, citizenship status, or any other factors prohibited by law. 

EOE/M/F/Vet/Disabled