Data Engineer at Motive delivering data infrastructure for the AI era. Collaborating with stakeholders, building models, and implementing innovative tooling.
About the role
- Senior Data Architect/Strategist at Robots & Pencils blending advanced data knowledge with problem solving to drive intelligent products and smarter business decisions.
Responsibilities
- Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
- Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges.
- Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.
- Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
- Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
- Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
- Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
- Mentor junior data scientists, supporting technical development and scientific rigor.
- Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.
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.
Benefits
- 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.
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