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Data Scientist

Company: KYLMAR Solutions
Location: King Of Prussia
Posted on: May 19, 2019

Job Description:

Data Scientist. Responsibilities include Design, build and deliver statistical models and related actionable data-focused results to support product and customer requirements and initiatives. Work closely with engineering, product and sales teams to understand business and technical requirements, translate these into important discovery directives and follow through to optimize and support the enhancement and growth of products. Establish and make effective use of internal and external datasets to back up and support key strategic, product and customer decision-making efforts. Serve as the data science expert on cross-functional teams for large strategic initiatives and education on accessing and utilizing qualified and focused data for decision making. Analyze, propose, design and successfully deliver data experiments for engineering, product and sales teams to ensure statistical rigor and effectiveness. Provide expertise and professionalism in handling sensitive, privacy-protected data, including sources, structures, organization and optimization. Communicate complex ideas about our product through visual aids like charts and dashboards. Keep up-to-date with emerging data science and statistical technologies, methods and practices. Create andor use existing data models for predictions regarding user behavior. Communicate ideas, processes and results to all levels of internal and external clients and teams. Qualifications Bachelor's degree required in Computer Science, Mathematics, Statistics, Quantitative Analysis, or other technical field related to software development. Minimum 3 years of related experience working with data science and statistical modeling. Experience in the retail industry from a data perspective is required. Experience with SQL and at least one functional or statistical programming language is required. Minimum of 3 years of related experience working with R and Python is required. Experience working with Postgres, Timescale DB andor other related database technologies is required. Experience with complex query writing is required. Experience with result-set performance tuning and related data administration is required. Experience with big data technologies is required. Experience and understanding of various statistical modeling tools and platforms including R, SAS and SPSS is required. Experience in ecommerce, Wi-Fi, app messaging, social and other datasets is beneficial. Experience in machine learning and artificial intelligence methods and practice is beneficial. Understanding and experience with database technologies is beneficial including Oracle, SQL Server, etc. Experience with agile development methodologies. Understanding and experience with BI technologies is beneficial Tableau, MicroStrategy, Microsoft, OBI, etc. Experience with Kafka Go or Redis is beneficial. Understanding of data modeling techniques and star schemas is beneficial. Experience with Hadoop and MapReduce is beneficial. Experience with ftp, file transfers, data exchange methodologies. A solid understanding of methodology, data and systems from a broad range of research and analytics providers, including emerging tools and methods. Ability to distill complex statistical concepts and methodology, and articulate insights to cross-functional teams and clients with varying levels of knowledge in this space. Ability to articulate and tie data to business strategy. Microsoft Excel and PowerPoint skills Self-motivated, self-starter with a team-centric focus while working in a fluid environment. Exceptional communication skills verbal, written and presentation. Experience in the following areas strategic analytics, marketing analytics, digital analytics, data analytics, statistics, data science, big data, normalization, modeling, quant research, analytics consulting. Desire and interest to uncover and discover insights using disparate data sources. Desire and interest in being the ldquoGo Tordquo person for data science. Dynamic personality and passion for data, analytics, visualizations and storytelling is beneficial for this role. Keen sense of user interface design, style, aesthetics and effective visual presentation. Ability to work effectively in fast-paced, results-oriented work environment. Ability to handle and adjust to change in requirements and direction. Positive attitude, attention to detail and great problem solving skills are important.

Keywords: KYLMAR Solutions, Philadelphia , Data Scientist, Other , King Of Prussia, Pennsylvania

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