Data Scientist / Big Data Engineer

Cayuse Holdings is a company focused on providing innovative civil services, and they are seeking a Data Scientist / Big Data Engineer to leverage data for business insights. The role involves data mining, implementing machine learning algorithms, and developing analytics solutions to improve business processes and decision-making.

Responsibilities

• Perform 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 current pain points, using data insights, forecasts, and analytics
• Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business goals
• Develop Key Performance Indicators (KPIs), metrics, trend tracking, prediction, and forecasting models
• Evaluate and understand complex issues from business partners and recommend solutions
• Work closely with team throughout all 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 complex ad-hoc 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 related area
• 4-7 years of experience in the field or in a related area
• 8 or more years of experience
• 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 able to pass a background check
• 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-source 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 related 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 Databricks platforms

Benefits

• Medical, Dental and Vision Insurance; Wellness Program
• Flexible Spending Accounts (Healthcare, 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