Machine Learning and Data Engineering Lead

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, Natural Language Processing (NLP), NumPy, Pandas, SciPy, SPARK Programming, SparkML, statsmodels

Job Description

CB Marketing and Client Experience Technology is hiring a machine learning and data engineering lead to drive the analytics and AI/ML program who will data mine to identify insights, build and deploy models to production, mentor other data scientists, and work with stakeholders to deliver business value.

Responsibilities

• Research data to discover insights and develop innovative ML-based solutions to some of Client Experience’s hardest problems
• Understand the Client Experience journey to formulate relevant high impact business questions that can be answered through data analysis
• Work on building robust Data Science capabilities which can be scalable across multiple business use cases
• Collaborate with Tech partners to design and deploy Machine Learning services that can be integrated with strategic systems
• Think strategically to leverage reusable components within the firm and state of the art tools available externally when building the capabilities
• Document, communicate and explain approach and results to non-technical audiences such as business stakeholders and upper-level management

Qualifications

• Bachelors or Master’s degree in Data Science, Computer Science or Technology-related discipline
• Minimum of 6 years of AI/ML, software or data engineering experience
• Hands-on experience developing and deploying Data Science and ML capabilities to production at scale, including monitoring, maintenance and operations of production models
• Hands-on experience with Deep Neural Network packages (examples: TensorFlow, Theano, PyTorch, Keras)
• Experience with big-data and cloud technologies such as Hadoop, Spark, SparkML, AWS Sagemaker, etc.
• Strong understanding of various machine learning concepts, including Natural Language Processing (NLP)
• Strong ability to develop and debug in Python with extensive experience with machine learning APIs and computational packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, statsmodels)
• Should be able to work both individually and collaboratively in teams in order to achieve project goals
• Must be curious, hardworking, detail-oriented, and motivated by complex analytical problems
• Able to be results and client-focused and follow the agile development paradigm
• Able to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
• Able to independently research and propose alternatives with some guidance as to problem relevance
• Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders