Data Scientist

Robert Half
Robert Half

Job Overview

Description We are looking for a Data Scientist who will support our product development teams by guiding proper data practices to build proprietary data sets, and empowering our clients to find value in data. The Data Scientist will also be responsible for data architecture that defines data models for new systems, selecting the best data storage solution for a given data set and usage pattern, collecting and managing test data, and creating normalized views of meaningful systems from disparate data sources. You will also have a key role to play in creating and operationalizing machine learning based solutions. We are seeking a candidate with strong experience using a variety of data storage, collection, mining, and analysis methods. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Your Responsibilities Work with engineering teams to design, build and run innovative automation solutions. Conduct independent research to gain domain specific knowledge and develop custom data models and algorithms as well as valuable testing fixtures to support the larger engineering team. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Requirements Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SQL, USQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantagesdrawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. We’re looking for someone with 4 -7 years of experience manipulating data sets and building statistical models, and is familiar with the following softwaretools Coding knowledge and experience with several languages Python is key Knowledge and experience in statistical and data mining techniques GLMRegression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages R, Python, SLQ, etc. Cloud architectures including AWS and Azure Asynchronous computing models (Kafka, RabbitMQ, etc.) Experience creating and using advanced machine learning algorithms and statistics regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed datacomputing tools MapReduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizingpresenting data for stakeholders using Grafana, Periscope, Tableau, Power BI, Business Objects, D3, ggplot, etc. Technologies Azure Data Lake services Amazon Data Lake services Open source reporting frameworks SQL DDL Postgres Oracle Microsoft SQL Server MySql MariaDB JSON Schema Mongo Couch Cloudant Elastic Redis DynamoDB Bigtable Cassandra Others Robert Half Technology matches IT professionals with some of the best companies on a temporary, project or full-time basis. From roles in software and applications to IT infrastructure and operations, we provide you unparalleled access to exciting career opportunities. Our personalized approach, innovative matching technology and global network with local market expertise help you find the technology jobs that match your skills and priorities – fast. By working with us, you have access to challenging opportunities, competitive compensation and benefits, and training to enhance your skill sets. From philanthropy to environmental stewardship to employee programs, Robert Half is proud to have an active role in the communities in which we live and work. Our company has appeared on FORTUNE’s “Most Admired Companies” list every year since 1998. Download our mobile app to take your job search on the go! Contact your local Robert Half Technology office ator visit to apply for this job now or find out more about other job opportunities. All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada. 2020 Robert Half Technology. An Equal Opportunity Employer MFDisabilityVeterans. By clicking ‘Apply Now’ you are agreeing to Robert Half Terms of Use https .Data Scientist 1

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