Data Scientist / Big Data Engineer

Cayuse Holdings is a company focused on civil services, and they are seeking a Data Scientist / Big Data Engineer to make 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

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 Knowledge of commonly used concepts, practices, and procedures within 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 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 Cayuse Holdings is an economic enterprise 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 Apply tot his job Apply To this Job