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Robotics Prcocess Automation, LLC

Lead Analyst - Data Science

Robotics Prcocess Automation, LLC, Trenton, New Jersey, us, 08628


W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Data Science Job Title: Lead Analyst - Data Science Location: Basking Ridge, NJ Duration: 8 Months Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Responsibilities Energy Domain experience highly preferred. Proficiency with statistical analysis tools (e.g. R & Python); SAS, SPSS knowledge preferable. Hands-on experience in Statistical & Machine Learning Techniques & Deep Learning such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others. Experience in Advanced Analytics i.e. LSTM, RANDOM FOREST, KNN algorithm neural networks etc. Understanding of various Analytical Tools, Platforms & Frameworks including Cloud platforms (AWS, GCP, Azure), Hadoop, and PYSPARK. Experience in optimization (linear, mixed integer, constraint programming), simulation, rule-based scoring and/or predictive analytics. Analytics Experience is required in areas such as: Forecasting Customer, CRM Analytics Billing and Device Analytics Operations Analytics Recommendation Analytics Campaign Management Customer Segmentation Sales & Marketing Analytics Online & Social Analytics Financial & Risk Analytics Familiarity with database query tools (SQL) and a basic understanding of data warehouse architecture. Strong Excel, Access, and PowerPoint skills. ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. J-18808-Ljbffr