Data Scientist

Data Scientist

Key responsibilities:

Technology

• Must know the ins and outs of the AI/ML algorithm being used and not just the library to call
• Should have commissioned at least two projects end to end beyond the Proof of Concept
• Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements
• Deliver enterprise level analytics solutions to customers
• Provide analytics solutions in Big data platform which can scale
• Design distributed, GPU and parallelized algorithms
• Architect the data science solutions to complex high dimensional data
• Deep dive on to theoretical and implementation details and provide the solution fundamentals
• Support architecture and platform team to optimize their operation
• Capable to train and gain expertise quickly on new Infrastructure tools and all assigned technologies

Business

• Engage with the business segments and internal stakeholders to capture requirements
• Work closely with analysts and business process managers to develop an end-to-end analytics solution
• Present and communicate solution design with Business & IT audience

Qualifications and RequirementsEssential qualifications

• PhD or Master's degree in Computer Science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes.
• Devops driven 4-6 years of Industrial experience in developing core machine learning algorithms
• Academically trained in the field of Machine Learning/AI/Data Science/Computer Vision etc
• Excellent communication, verbal and written skills

Key competencies in data science technologies

• Strong background in some of these listed areas: Machine Learning, time series analysis / sensor processing, AI/Deep Learning, optimization/operations research, text analytics/NLP, Applied Mathematics, Decision Sciences, Computer Vision
• Building and applying Machine Learning / predictive modeling in real-world use cases
• Strong understanding and implementation and solution architecting of predictive / analytical modeling techniques, theories, principles, and practices
• Strong theoretical foundations in Machine Learning, optimization, stochastic process, linear algebra etc.
• Excellent knowledge of data mining / predictive modeling tools such as Python, Spark, Tensorflow, Keras, MLlib etc.
• Ability in designing distributed and parallelized algorithms
• Ability in deploying real world solutions in Hive, Spark and other Hadoop Technologies in Cloud and In-premise
• Capable of delivering on multiple competing priorities with little supervision

Other skills and abilities

• Deep understanding of big data platforms such as Azure, Google cloud etc.
• Ability to abstract model representations and formulate repeatable models
• Strong ability to work in a fast-paced environment
• Strong ability to work both autonomously and in a team
• Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
• Understanding of Oil and Gas domain is a plus
• Experience working with, processing and managing large data sets (multi TB scale) is preferred
• Experience in real-time stream processing is a plus
• Keep continuously up-to-date on all assigned technologies

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

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