Senior Data Architect/Strategist
Location
Maryland
Posted
24 days ago
Salary
Not specified
Job Description
Job Requirements
- 7+ years of professional experience in data science, statistics, and applied machine learning.
- Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies.
- Building and deploying Data Mesh architectures.
- Strong experience in AWS tools and infrastructure and cloud AI and data tools
- essential. Experience in working in other cloud environments (GCP, or Azure) would be an advantage.
- Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks.
- Proven track record in statistical modeling, time series forecasting, NLP, or optimization.
- Experience designing and analyzing controlled experiments (A/B testing, uplift modeling).
- Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering.
- Experience with tools such as Databricks, SageMaker, and Snowflake is essential.
- Experience of Palantir would be an advantage.
- AWS cloud certifications or ML specialization credentials are an advantage.
- Core Competencies
- Scientific Thinking
- – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically.
- Practical Execution
- – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy.
- Business Acumen
- – Understands the “why” behind the data; aligns analysis with client goals and product strategy.
- Ownership & Accountability
- – Delivers high-quality, reliable work end-to-end; takes pride in outcomes.
- Communication
- – Explains technical results clearly and persuasively to diverse audiences.
- Team Collaboration
- – Works effectively across functions and time zones; contributes to a culture of openness and shared learning.
- Why Join Robots & Pencils?
- At R&P, we don’t just build software; we help our clients build the future. We are a diverse, globally distributed team that thrives on solving challenging problems and delivering exceptional results. If you're a data scientist who’s excited about building intelligent systems that deliver measurable impact, we’d love to hear from you.
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