Data Scientist

Bixal
Fairfax, VA

Important Notice for Applicants:
At Bixal, we want to ensure a transparent and secure application process for all candidates. Official communication will come from an email address ending in @bixal.com or from [email protected]. Messages from other sources may be fraudulent, and you should exercise care to avoid any links or attachments included.

Bixal will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Need Assistance or a Reasonable Accommodation?
If you need assistance or a reasonable accommodation to complete your application, we're here to help. Please reach out to us at [email protected] and let us know how we can support you. You do not need to share personal details or disclose the nature of your request. You can expect a response from a team member within 24 hours during the regular work week and on the next operating day during the weekend or holidays.

Why Bixal?

Bixal is a consulting company headquartered in Fairfax, VA, working alongside governments and organizations to help them deliver better services and experiences to the communities they serve. Using evidence-based knowledge and technology, Bixal empowers clients to deliver on their missions more effectively by fostering a culture of learning and continuous improvement.

Our values:

  • People-First : Emphasizing the importance of people in all aspects of work.
  • Collaboration and Transparency : Valuing teamwork and open communication.
  • Growth Mindset : Encouraging innovation and continuous improvement.
  • Creating Lasting Impact : Focusing on meaningful outcomes and positive change.

About the role:

Bixal is seeking a highly skilled and mission-driven Data Scientist to support the Department of Veterans Affairs (VA). This role will be instrumental in advancing a comprehensive data analytics and measurement framework that empowers VA teams to make data-informed decisions that improve services and outcomes for Veterans, caregivers, and their families.

The successful candidate will collaborate closely with engineers, product leaders, and customer experience strategists to transform complex, disparate datasets into actionable insights. By developing advanced analytical models and uncovering trends across operational and experiential data, this individual will play a critical role in enhancing the VA’s digital services and user experience strategy.

This is a full-time position contingent on contract award by our client, with a defined performance period of one year with two one-year option periods. This role offers you a unique opportunity to make a meaningful impact on a project that aligns with Bixal’s mission of delivering innovative, human-centered solutions. While the role has a fixed duration, we are committed to transparency and collaboration, keeping you informed about contract updates and new opportunities. At Bixal, we support your professional journey, ensuring your experience reflects our inclusive, purpose-driven culture and prepares you for future success.

Compensation:

The salary range for this role is $95,000 – $105,000. In the spirit of transparency, most offers tend to land near the midpoint of the range. We make compensation decisions thoughtfully, considering your experience, the skills you bring, and our commitment to internal equity. Fairness and transparency are core to how we operate.

Responsibilities:

  • Analyze operational, experiential, and architectural datasets to identify performance trends and service gaps.
  • Build predictive models and advanced analytics solutions to support data-informed decision-making.
  • Collaborate with data engineers and product leaders to develop and optimize pipelines using Databricks, Azure ML, and other tools.
  • Apply NLP and AI/ML techniques to analyze survey responses, help desk tickets, and qualitative feedback.
  • Collaborate with CX Measurement Leads and Visualization Specialists to integrate qualitative feedback and deliver actionable insights via Power BI and similar platforms.
  • Ensure data governance and compliance using tools like Collibra and Immuta, maintaining metadata, lineage, and access protocols.
  • Participate in Agile ceremonies and sprint planning to align analytics with stakeholder priorities and product goals.
  • Other related tasks as assigned, trained, and qualified to perform.

Qualifications:

  • Bachelor’s Degree in a related field plus at least four (4) years of relevant experience, or an equivalent combination of education and/or experience.
  • Experience working with large-scale, complex datasets in federal environments.
  • Proficiency in Python, PySpark, Databricks, and Azure Machine Learning.
  • Proven experience with Azure Data Factory, Databricks, and PySpark.
  • Strong experience with NLP, AI/ML, and predictive analytics.
  • Strong experience in graph databases and graph analytics.
  • Excellent written and verbal communication skills, with the ability to explain complex findings to technical and non-technical audiences.
  • Ability to communicate findings effectively to technical and non-technical audiences.
  • Must be able to obtain and maintain a Public Trust clearance

Nice to Have Skills and Experience:

  • Prior experience supporting Veterans Affairs or other federal health or benefits programs.
  • Familiarity with VA systems and datasets.
  • Existing VA clearance.

How We Support Our Team:

  • Flex hours
  • 401K with matching incentive
  • Parental Leave
  • Medical/dental/vision benefits
  • Flex Spending Account
  • Company provided short-term disability and life insurance
  • Commuter benefits
  • Paid Time Off (PTO)
  • 11 Paid holidays

Our company is committed to providing equal employment opportunities for all individuals and complies with all applicable federal, state, and local anti-discrimination laws. Employment decisions are based on merit, qualifications, and business needs.

Posted 2025-07-30

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