Principal Data Scientist


Job Overview

PeerSource is currently recruiting for a Principal Data Scientist on a Direct Hire basis for our client in Greenwood Village, CO. Summary Our client has implemented a new advanced Big Data analytics platform that enables new self-service analytics, decision engineering support, machine learning, modeling, forecasting, and optimizations. This position is responsible to create and maintain scalable, reliable, consistent and repeatable platforms, systems, and models that support data, data products, and analytical products for advanced analytics by gathering, processing, exploring, and modeling raw and diverse data at scale. It requires lifecycle management of multiple data sources, data discovery, and models. This position architects and delivers models, analytics, automation, and self-service, which are major tenets of the analytics platform. The most successful candidate will have lifecycle experience in machine learning, deep learning, andor artificial intelligence within modern parallel environments, such as GPU-enabled platforms and distributed clusters. Responsibilities This lifecycle includes conceiving, developing, prototyping, analyzing, and implementing models with very large (i.e., the top end of big data) and diverse datasets and in collaboration with stakeholders Frames and models meaningful business and engineering scenarios that impact critical business and engineering processes, architectures, andor decisions Researches, develops, and implements machine learning models, deep learning models, artificial intelligence, and algorithms that solve business and engineering problems Develops innovative and effective approaches to solve model problems while communicating the results and methodologies Leverages multiple data sources to produce products that solve needs for descriptive models, predictive models, diagnostic models, and prescriptive models Applies data mining, data discovery, machine learning, deep learning, and artificial intelligence techniques to large structured and unstructured datasets for model creation Gathers and processes raw data at scale from any source and in any format Balances workloads and operational demands with open source technologies, cloud services, and commercial solutions while optimizing cost and time-to-solution demands Creates highly reusable code modules, templates, and packages Increases speed to delivery by architecting and implementing automated solutions Leverage modern parallel environments, e.g. distributed clusters, multicore SMP, GPU, TPU and FPGA. Design and implement feedback loops for continual model updates and improvements Mentors, educates, and provides senior leadership to data scientists, data analysts, and data engineers Required Skills 3-5+ years of experience in one or more of the following areas machine learning, deep learning, recommendation systems, natural language processing, fraud detection or artificial intelligence 3-5+ years of experience of lifecycle management in one or more of the following from idea to deployment artificial intelligence, deep learning models, machine learning models, recommendation systems, natural language processing, or fraud detection. Experience delivering multiple systems where you were responsible for designing the architecture, implementing, operating, supporting, and managing the release lifecycle from inception to end of life. 7-10+ years of hands-on working experience with RDBMS, SQL, scripting, and coding. Exceptional programming skills in Python is required. Proven experience in translating insights into business recommendations. Ability to create proof of concept experiments for analytics, machine learning, or visualization tools that includes hypothesis, test plans, and outcome analysis. Ability to create unsupervised and supervised models. Time series expertise is a plus. Solid statistical knowledge and techniques. Experience with one of the deep learning frameworks, such as TensorFlow or PyTorch. Develop highly scalable systems, algorithms, and tools to support machine learning, deep learning, and artificial intelligence solutions. Lifecycle management using Docker and containerization. Experience with Snowflake, AWS, Hadoop, andor Spark. Excellent pattern recognition and predictive modeling skills. Extracting data and delivering complete analytics and machine learning products primarily using Python secondary experience with R, Java, JavaScript, C, C++, Scala, or Julia is an asset. Develop, integrate and optimize modelAIMLDL pipelines. Experience receiving, converting, and cleansing big data. Visualization or BI tools, such as Tableau, MicroStrategy, RapidMiner, or anything Microsoft Power BI. Program, product, or project management experience delivering model and analytics results. Strong background in LinuxUnixCentOSMacOS and Windows installation and administration. Bachelor’s degree in a data science, engineering discipline, computer science, statistics, applied math, or related field required. Masterrsquos preferred. Preferred Skills Jupyter Notebooks, NVIDIA GPU-based Deep Learning, and NVIDIA RAPIDS. Familiarity with APIs (JavaScript API, Rest API or Data Extract APIs), data workflowdata prep platforms (Alteryx, Pentaho, KNIME) DevOpsCICDautomationconfiguration management (Puppet, Chef, Ansible, Jenkins, Kubernetes, Airflow). Knowledge of best practices and IT operations in an always-up, always-available service. Knowledge and experience developing in Agile, Scrum, and SAFe environments. No third parties. H1 sponsorship is not available. PeerSource is a DenverOrlando based technology recruiting solutions firm that truly values strong relationships with the talented professionals we are fortunate to serve. We pride ourselves to make it about YOU, and we will seek to understand exactly what your consideration factors are regarding the kinds of opportunities you are targeting. We can’t wait to show you our difference and put a smile on your face through exceeding your expectations well beyond the norm. We offer contract, contract-to-hire and direct hire opportunities throughout the US and support W2 as well independent consultants working on a Corp-to-Corp basis. W2 employee benefits with PeerSource include options for health dental insurance as well as a matching retirement plan. Contact us for more details!Principal Data Scientist 1

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