About the role
The work:
Key Responsibilities:
Technical Leadership & Code Ownership
- Set technical direction for an 8–10 person engineering team.
- Serve as primary architect and code-quality gatekeeper (review/merge all GitHub PRs).
- Define and enforce standards for architecture, performance, testing, documentation, and CI/CD.
- Own the end-to-end codebase for a distributed forecasting platform built on Python and Apache Spark (GCP).
- Champion and evolve the internal ML tooling library used for training, evaluation, metrics, and visualization.
Forecasting Platform Development
- Build and maintain scalable data pipelines and feature engineering workflows for intermittent and lumpy MRO/spare‑parts demand.
- Extend and improve metrics instrumentation (sMAPE, MASE, Dollar‑Weighted MAE, bias, diagnostics).
- Support multi-model training, evaluation, selection, calibration, and DFU lifecycle management.
- Integrate and maintain MLflow for experiment tracking, model registry, and reproducibility.
- Convert research prototypes into high-quality, production-grade components within the shared library.
Blue Yonder Integration
- Act as the technical interface between the ML Forecasting Factory and Blue Yonder workflows.
- Ensure forecast outputs, calibration parameters, and hierarchy-level signals align with Blue Yonder’s format and multi-model framework.
- Collaborate with planning stakeholders to maintain compatibility with proportional allocation logic and DFU lifecycle behavior.
Team Leadership & Collaboration
- Provide mentorship, technical guidance, and architectural leadership to engineering teammates.
- Translate business needs into engineering specs in partnership with data scientists.
- Operate as a hands-on contributor with daily codebase involvement.
Here is what you need:
- US citizenship (Secret eligibility)
- BS degree
- 5+ years of professional production Python engineering experience.
- Experience building or maintaining shared internal Python libraries or ML tooling packages.
- Strong proficiency with Pandas, NumPy, and scikit-learn.
- Proven Staff/Principal-level technical leadership with architectural ownership and PR-based code stewardship.
- Experience with large-scale distributed data processing using Apache Spark.
- Hands-on experience with GCP services such as Dataproc, BigQuery, and GCS.
- Strong Git/GitHub fluency (branching, PR workflows, release management).
- Ability to mentor and lead engineers and PMs with clarity and technical credibility.
Preferred experience:
- Active DoD Secret clearance highly desired
- ML engineering background including training pipelines, evaluation frameworks, MLflow, and deployment patterns.
- Production or near-production experience with TensorFlow and/or PyTorch.
- Experience with forecasting/time-series libraries such as sktime or AutoGluon.
- Familiarity with Blue Yonder (JDA) or similar enterprise planning platforms, especially multi-model forecasting and DFU management.
#clearancejobs
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Aplyr's read
Accenture Federal Services specializes in providing technology and consulting solutions to U.S. government agencies, attracting professionals skilled in digital transformation and cybersecurity.
What's promising
- •Strong focus on digital transformation for government clients.
- •Diverse range of roles from cybersecurity to data analytics.
- •Opportunities to work on impactful federal projects.
What to watch
- •Navigating complex government regulations can be challenging.
- •High demand for security clearances may limit applicant pool.
- •Work-life balance can be strained due to project deadlines.
Why Accenture Federal Services
- •Specializes in serving U.S. federal agencies with tailored solutions.
- •Combines global expertise with local insights for government projects.
- •Emphasizes cybersecurity and digital innovation in public sector.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Accenture Federal Services
Accenture is a global professional services company providing a broad range of services in strategy and consulting, digital transformation, technology, and operations.
- Founded
- 1989
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