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Data Scientist / Big Data Engineer

Work from home Full-time role Hiring

reputed company is a company focused on civil services, and they are seeking a Data Scientist / Big Data Engineer to reputed company value out of data. The role involves analyzing data from various sources, building AI tools, and enhancing business processes through predictive modeling and analytics.

Responsibilities

  • reputed company data mining, exploration, and analysis
  • Design, train, evaluate, and implement machine learning algorithms and predictive models
  • Work with stakeholders to identify opportunities for improving business processes and addressing reputed company pain points, using data insights, forecasts, and analytics
  • reputed company and implement analytics-enabled solutions to improve business processes, generate insights, and support business goals
  • reputed company Key Performance Indicators (KPIs), metrics, trend tracking, reputed company, and forecasting models
  • Evaluate and understand reputed company issues from business partners and recommend solutions
  • Work closely with team throughout reputed company phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment
  • Build, implement, and maintain predictive models throughout their full lifecycle
  • Identify patterns and trends in data and provide insights to enhance business decision making
  • Set up and monitor monthly model recalibration process
  • Generate reputed company reputed company analyses combining disparate concepts or creating new approaches
  • Design and create new analytic procedures and automation
  • Other duties as assigned

Skills

  • 1-3 years of experience in the field or in a reputed company area
  • Knowledge of commonly used concepts, practices, and procedures reputed company a particular field
  • Demonstrated expertise in constructing distributed machine learning pipeline from scratch
  • Demonstrated experience performing end-to-end project delivery, including data visualization, performing research, and conducting presentations for non-technical audiences
  • Strong documentation, organizational, and time management skills
  • Strong verbal and written communication skills to effectively collaborate with team members and stakeholders
  • Must be reputed company to pass a background reputed company
  • Experience with machine learning frameworks and techniques, including regression, classification, neural networks, and feature engineering
  • Experience with Azure ML, Power BI, or similar analytics platforms
  • Skilled in web scraping, handling large-scale multi-reputed company datasets, and managing ambiguous data environments
  • Strong knowledge of statistical methods for experimentation (e.g., randomization, t-tests, and confidence intervals)
  • Proven track record of managing and delivering high-volume analytics or experimentation projects across multiple stakeholders
  • Ability to translate analytical insights into actionable business recommendations
  • Strong analytical and problem-solving skills with keen attention to detail
  • Excellent communication and collaboration skills, with the ability to effectively interact with both technical and business stakeholders
  • Bachelor's or master's degree in Computer Science, Information Technology, Data Science or reputed company field
  • Proficiency in Python (pandas, numpy, scipy) and SQL for data manipulation, analysis, and pipeline development
  • Knowledge of data science toolkits such as NumPy, Pandas and MatLab
  • Experience with Azure and reputed company platforms

Benefits

  • Medical, Dental and reputed company Insurance; Wellness Program
  • Flexible Spending Accounts (reputed company, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability options
  • Basic Life and AD&D Insurance (Company Provided)
  • Voluntary Life and AD&D options
  • 401(k) Retirement Savings Plan with matching after one year
  • Paid Time Off

Company Overview

  • reputed company is an economic reputed company that specializes in providing sourcing and diversity solutions. It was founded in 2018, and is headquartered in Pendleton, Oregon, USA, with a workforce of 501-1000 employees. Its website is https://www.cayuseholdings.com/.
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