Data Scientist

Introduction
As a Data Scientist at IBM you will help transform our clients’ data into tangible business value by analyzing information communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

Octo an IBM company is an industry-leading award-winning provider of technical solutions for the federal government. At Octo we specialize in providing agile software engineering user experience design cloud services and digital strategy services that address government’s most pressing missions. Octo delivers intelligent solutions and rapid results yielding lower costs and measurable outcomes.

Our team is what makes Octo great. At Octo you’ll work beside some of the smartest and most accomplished staff you’ll find in your career. Octo offers fantastic benefits and an amazing workplace culture where you will feel valued while you perform mission critical work for our government. Voted one of the region’s best places to work multiple times Octo is an employer of choice!

You…

We are looking for a mid level Data Scientist to support an initiative within the Department of Veterans Affairs (VA). In this role you will work across our client engagements providing expertise in cloud computing such as Azure Cloud including AML ADF/Azure Cloud Machine Learning NLP Bigg data procession Depp learning Azure/Databricks/Data Lake ADF Python (data wrangling joins cleaning visualization statistical learning) Azure SQL Git Apache Spark (cluster computing/managing). You will be responsible for solutioning and development of production-ready statistical and machine learning models that leverage healthcare healthcare operations and related datasets as well as contribute to and produce technical and data process documentation.

Us…

We were founded as a fresh alternative in the Government Consulting Community and are dedicated to the belief that results are a product of analytical thinking agile design principles and that solutions are built in collaboration with not for our customers. This mantra drives us to succeed and act as true partners in advancing our client’s missions.

Program Mission…

This program supports Veterans Affairs’ strategic mission of furthering efforts to modernize its data analytics platform and enhance accessibility to enterprise data and reporting tools.

Responsibilities…

• Work across client engagements providing expertise in data collection data analysis data mapping data profiling data mining and data modeling.
• Responsible for inspecting cleansing transforming and modeling data and will address issues related to data completeness and quality.
• Work directly with our software development team to ensure that we are creating best-in-class solutions to solve our customers’ complex data challenges.
• Develop predictive and machine learning models from both structured and unstructured data (e.g. identify usage patterns predict utilization).
• Create training materials for individuals at different levels of experience to leverage these models and results in their own work.
• Identify create and curate training test and validation datasets.
• Support development of monitoring and re-training procedures for models in production.
• Act as a subject matter expert throughout the lifecycle of projects to support both business and technical stakeholders in generating solutions and associated requirements.

Years of Experience: 5 years of recent professional experience in data science data mining data analysis business process analysis and/or healthcare analytics.

Education: .Bachelors degree in a quantitative field such as Computer Science Statistics or Mathematics (or related field) required. Prefer M.S. and/or Ph.D.

Location: Remote within the United States.

Clearance: Ability to obtain a Public Trust security clearance.

Required Technical and Professional Expertise

• See below for experience and educational requirements.
• Must have at least 5 years of recent professional experience in data science data mining data analysis business process analysis and/or healthcare analytics.
• Prefer at least 3-5 years working with Machine Learning and/or Natural Language Processing (in particular Named Entity Recognition Deep Learning Neural Networks Image Processing NLP Spark TensorFlow) methodologies.
• Prefer at least 3-5 years of programming experience: SQL Python (Pandas Py Spark Py Tourch).
• Prefer at least 3-5 years of experience using Machine Learning tools deploying models and deploying software in Azure (certification preferred).
• Ability to conduct data profiling and predictive analysis using a variety of standard tools.
• Experience with data visualization tools and methodologies.
• Experience with Azure Data Lake Storage Azure Data Factory Azure SQL DW Azure Synapse Databricks Spark and/or Python Predictive Modeling: Linear logistic regressions Ordinary Least Squares Decision Trees / K-means clustering K-nearest neighbors Hierarchal clustering.
• Experience with Databases: SQL (MySQL SQLite PostgreSQL T-SQL) Data Lake.
• Experience with Data Visualization: Tableau Power BI.
• Experience with Version Control: Git GitHub Confluence.
• Data Science Methods: Problem Identification Data Mining Wrangling Analytics EDA FeatureEngineering Modeling Report Writing.
• Experience with ML Applications end to end process (Local & cloud development).
• Experience with ML Models (Classical models • Deep Learning (text audio images).
• Model pipelines and deployment • AutoML • MLFlow • Databricks.
• Excellent ability to communicate concisely and effectively with engineers and clients.
• Clearance: Ability to obtain a Public Trust security clearance.

Preferred Technical and Professional Expertise

• Previous experience working with the Dept. of Veterans Affairs or other government clients such as Dept. of Defense (DoD).
• Exposure to Microsoft Azure services and cloud-based systems.
• Prior experience with metadata management to include meta-tagging.
• Previous experience working in an Agile Team setting and using Agile management tools such as Jira.
• Ability to uncover data-driven insights using statistical analysis or predictive analytics.
• Experience with machine learning natural language processing and statistical analysis methods to include classification collaborative filtering association rules sentiment analysis topic modeling time-series analysis regression statistical inference and/or validation methods.