Principal Data Scientist

Job Description

<p>Integrant is hiring for “Principal – Data Scientist” with below roles and responsibilities:<br><br></p><p><br><br><br></p><ul> <li>Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.</li> <li>Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.</li> <li>Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.</li> <li>Mentor junior members on the team in data science.</li> <li>Deliver machine learning models to clients and contribute in knowledge transfer. </li> <br><br></ul><strong>Requirements<br><br></strong><ul> <li>6+ years of experience with Data Science workloads.</li> <li>MSc in Computer Science or other equivalent quantitative field.</li> <li>Familiarity with classification, clustering, regression and association rule mining.</li> <li>Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).</li> <li>Familiarity with Azure Cognitive Services and Azure ML.</li> <li>Familiarity with AWS SageMaker.</li> <li>Experience with deploying models to production.</li> <li>Experience with monitoring models post production and detecting concept drift.</li> <li>Familiarity with Deep Learning.</li> <li>Extensive experience with Python.</li> <li>Familiarity with conducting open scientific research.</li> </ul><p><br><br><br></p><strong>Nice to Have<br><br></strong><ul> <li>Familiarity with Re-enforcement Learning.</li> <li>Familiarity with Stochastic Local Search Methods.</li> <li>Familiarity with MLOps on Azure.</li> <li>Familiarity with MLOps on AWS.</li> <li>Familiarity with building data pipelines on Azure.</li> <li>Familiarity with building data pipelines on AWS.</li> <li>Familiarity with single and multi-objective optimization techniques</li> <br><br></ul><strong>Benefits<br><br></strong><ul> <li>Salary paid in USD</li> <li>Six-month career advancing opportunities</li> <li>Employee parking space</li> <li>Supportive and friendly work environment</li> <li>Premium medical insurance [employee +family]</li> <li>English language development courses</li> <li>Interest-free loans paid over 2.5 years</li> <li>Technical development courses</li> <li>Planned overtime program (POP)</li> <li>Employment referral program</li> <li>Premium location in Maadi &amp; Nasr City</li> <li>Social insurance</li> <li>Opportunity to travel and work onsite with U.S. customers</li> <li>In-house Technical and English training programs</li> <li>Dedicated learning time (check out our 4Plus1 Program)</li> <li>Flexible work schedules</li> <li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul>