About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H4 style="margin:0.0px"><b>Job Summary</b></H4> </div><div><p style="margin-right:0.0in;margin-left:0.0in;Times New Roman', serif"><span style="">The Data Scientist, D&T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions. This role will leverage advanced analytics, Machine Learning, NLP, Computer Vision, and Generative AI to address complex business challenges and deliver measurable value.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Essential Duties and Responsibilities</b></H2> </div><div><ul> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Partner with stakeholders across functions to uncover and prioritize use cases where ML, statistical modeling, or GenAI/Agentic AI solutions can create business impact.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Lead end-to-end model/agent lifecycles: from problem definition, data exploration, feature engineering, and model/agent design to deployment, monitoring, and continuous improvement.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Ingest, integrate, and preprocess large-scale structured, semi-structured, and unstructured datasets, ensuring high standards of data quality and integrity.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Develop and enhance scalable data pipelines and infrastructure; proactively detect and mitigate data drift, bias, or quality gaps.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Drive development of specialized computer vision solutions (e.g., object detection, classification, OCR, segmentation) for business-critical applications such as manufacturing, quality control, and compliance monitoring</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Design and operationalize CI/CD and AgentOps workflows: model/dataset versioning, reproducibility, automated testing, deployment, rollback, and governance.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Define, implement, and monitor evaluation metrics (accuracy, robustness, fairness, latency, safety, etc.) for both offline and production environments.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Create intuitive dashboards, reports, and data visualizations (e.g., Power BI, Fabric) to communicate insights to technical and non-technical stakeholders.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Translate technical findings into actionable business recommendations; clearly communicate risks, performance, and opportunities to decision-makers.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale.<br></span></li> <li><span style="">Awareness of compliance, SOPs, and ethical AI practices in enterprise environments.</span></li> <li><span style="">Working knowledge of CI/CD, MLOps and AgentOps practices: reproducible pipelines, monitoring, governance with telemetry and observability.</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Additional Responsibilities</b></H2> </div><div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Education</b></H2> </div><div><ul> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Bachelor's or master's degree in computer science, Mathematics, Statistics, Data Science, or related quantitative field.</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Work Experience</b></H2> </div><div><ul> <li><span style="">3 - 6 years of relevant experience in data science, machine learning, or applied AI roles.</span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Preferred Knowledge, Skills and Abilities</b></H2> </div><div><ul> <li style="list-style-type:none"> <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Strong proficiency in Python, SQL and prompt engineering for data manipulation, analysis, and querying large datasets.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Context engineering and proficiency in executing GenAI projects at scale with prompt versioning, evaluation and tracing to debug GenAI pipelines</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Proficiency with Computer Vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, StableDiffusion) and experience in building real-world image/video analysis pipelines.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines using frameworks such as ReAct with tool integrations, memory, and reflection</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Solid understanding of how to evaluate/test ML & AI models: accuracy, robustness, fairness, drift, latency, interpretability, and safety.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI, including vision-based applications</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Strong foundation in statistics: regression, hypothesis testing, probability distributions</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Strong collaboration and communication skills, with the ability to work effectively in global and virtual settings.</span></li> </ul> <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Familiarity with cloud platforms (<span style="">Azure preferred</span>, including Azure AI Foundry, AzureML, OpenAI platform, Synapse and storage).</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Skilled in data visualization and BI tools (Power BI or equivalent), with the ability to present complex insights clearly to non-technical stakeholders.</span></li> <li style="margin-right:0.0in;Times New Roman', serif;margin-left:0.0px"><span style="">Agentic frameworks like lanGraph, AutoGen, CrewAI etc. familiar with implementing graph RAG, multimodal RAG</span></li> <li> </li> </ul> </li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>License and Certifications</b></H2> </div><div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Travel Requirements</b></H2> </div><div><div>10%: Up to 26 business days per year</div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Physical Requirements</b></H2> </div><div><div>Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time.</div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Additional Requirements</b></H2> </div><div></div></div></div>