| Data Scientist || Cary, NC (Hybrid) || GC or USC at Cary, North Carolina, USA |
| Email: [email protected] |
| From: Vaibhav, Winorbit technology [email protected] Reply to: [email protected] Job Title: Data Scientist Location: Hybrid in Cary, NC Hire Type/Designation: USC, GC Interview: Virtual/video **Manager not accepting resumes with bulleted formatting. Resume must have description of roles and responsibilities.** Responsible for modeling complex business problems, discovering business insights and identifying opportunities using machine learning, statistical, algorithmic, data mining, and visualization techniques. In addition to advanced data analytics skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results and recommendations based on the model/analysis to both technical and non-technical audiences. JOB ACCOUNTABILITY/RESPONSIBILITIES: Essential Functions : Conduct analytical research and develop prototypes (50%): Including but not limited to: Predictive modeling of ETAs Optimization and Predictive Failure modeling of Rail Car Assets Fleet Utilization for Railroads and Equipment Owners Interchange and Railyard traffic predictions Data quality evaluations to support Products Data Science prototypes including supporting scorecards and reports Data enrichment to support solutions and prototypes Deliver analytical projects (40%): Deliver analytical projects by: Working with project managers to define, schedule, and deliver results to all customers and internal stakeholders while managing reasonable expectations Collaborating with IT to deploy prototypes appropriately Creating and documenting repeatable solutions for meeting ongoing customer needs Communicating the results and methodology to internal and external stakeholders Gather, interpret and translate customer needs into business problems that can be solved with analysis requirements (40%): Working with business stakeholders and/or facilitate data analysis opportunity discussions Working with business stakeholders to determine solution analysis, definition, and requirements gathering for data services Provide analytical expertise to short-term and ad hoc requests and contribute to collaborative data analyses (20%): Ad-hoc requests from AAR, internal and external senior management, committee chairs, etc. General: Collaborate with other data scientists to drive data analysis methodology, repeatable and structured Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions Work with manager to finalize priority and deadlines, and adjust & communicate as necessary Key Measures: Customer feedback and delivery against commitments Non-Essential Functions: Support and improve internal decision making Develop measurement dashboards Conduct and report industry trend and market analysis to meet industry needs Performs other duties as assigned KNOWLEDGE, SKILLS, ABILITIES/MINIMUM REQUIREMENTS/COMPETENCIES: Strong analytical skills with working knowledge of basic statistical, predictive and optimization models Strong knowledge of Python or other statistical tool language (SAS, R, etc.) Strong problem-solving skills Strong data preparation skills; be able to access, transform and manipulate company client and external customer data in its base form (e.g. Postgres, Snowflake, JSON). Strong knowledge of data visualization tools (e.g., matplotlib, SHAP, Quicksight) to present models and results to internal and external stakeholders Strong verbal and written communication skills Knowledge of machine learning models a plus Knowledge of big data engineering toolsets a plus Ability to work effectively with clients, IT management, business management, project managers, and IT staff Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexibleAbility to work independently and jointly in unstructured environments in a self-directed way Ability to take a leadership role on engagements and with customers Strong teamwork skills and ability to work effectively with multiple internal customers EDUCATION, EXPERIENCE, CERTIFICATION/TRAINING: Strong technical background with programming, mathematics, and statistics experience Bachelors degree in quantitative field (e.g., applied mathematics, statistics, physics, computer science, operations research, business, economics) with relevant practical experience OR 5+ years of relevant work experience in a professional environment Advanced degree in quantitative field preferred Thanks and Regards Vaibhav Phone: +1 831-731-8629 Email: [email protected] Keywords: active directory rlang information technology green card North Carolina |
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| Mon Feb 06 22:19:00 UTC 2023 |