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Job Details


Data Scientist


Data Scientist


Washington, Washington DC, United States

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!


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.


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.


  • 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.

About Business Unit
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

Your Life @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location Statement
IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.